At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.
About the role
In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)
We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package.
Improving the core abstractions and runtime of the langchain and langgraph packages
Improving documentation
Answering user questions and resolving issues
Use langchain to build example applications
What You'll Do
Improve the core abstractions and runtime of the LangChain and LangGraph packages
Improve documentation across the LangChain ecosystem
Answer user questions and resolve issues from the community
Use LangChain to build example applications that demonstrate how to build production AI systems
What You'll Bring
5+ years of software engineering or applied machine learning experience
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company
An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision
Compensation
Annual salary range: $160,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.\n\n\n\nAbout the role\n\nIn person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)\n\nWe’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package. \n\n - Improving the core abstractions and runtime of the langchain and langgraph packages\n\n - Improving documentation https://python.langchain.com/docs/integrations/providers/\n\n - Answering user questions and resolving issues\n\n - Use langchain to build example applications\n\nWhat You'll Do\n\n - Improve the core abstractions and runtime of the LangChain and LangGraph packages\n\n - Improve documentation across the LangChain ecosystem\n\n - Answer user questions and resolve issues from the community\n\n - Use LangChain to build example applications that demonstrate how to build production AI systems\n\n\n\nWhat You'll Bring\n\n - 5+ years of software engineering or applied machine learning experience\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company\n\n - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision\n \n\nCompensation\n\n - Annual salary range: $160,000- $240,000 \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"9930dd01-d12e-42e1-b751-5240c3814f85","title":"Enterprise Account Executive (San Francisco Bay Area)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-24T01:29:34.985+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/9930dd01-d12e-42e1-b751-5240c3814f85","applyUrl":"https://jobs.ashbyhq.com/langchain/9930dd01-d12e-42e1-b751-5240c3814f85/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350K OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350K OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"05efa205-8560-43fd-bfcc-3f7697561cfb","title":"JavaScript Engineer (Open Source Team) ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2025-02-10T19:22:34.501+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/05efa205-8560-43fd-bfcc-3f7697561cfb","applyUrl":"https://jobs.ashbyhq.com/langchain/05efa205-8560-43fd-bfcc-3f7697561cfb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain.
About the Role
We’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred.
What You'll Do
Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages
Improve documentation across the LangChain ecosystem
Answer user questions and resolve issues from the developer community
Use LangChain to build example applications that demonstrate best practices for developers building AI systems
What You'll Bring
3+ years of software engineering or applied machine learning experience
A background in software engineering
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify the most impactful work and help define the future success of the company
An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision
Compensation
Annual salary range: $160,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Open Source team builds and maintains the core libraries that developers use to build AI agents with LangChain. The team works directly with the open-source community to improve the ecosystem, maintain core packages, and ensure developers can reliably build and deploy production AI systems using LangChain.\n\n\n\nAbout the Role\n\nWe’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain JavaScript package. In-person in SF preferred.\n\n\n\nWhat You'll Do\n\n - Improve the core abstractions and runtime of the LangChain and LangGraph JavaScript packages\n\n - Improve documentation across the LangChain ecosystem\n\n - Answer user questions and resolve issues from the developer community\n\n - Use LangChain to build example applications that demonstrate best practices for developers building AI systems\n \n \n\nWhat You'll Bring\n\n - 3+ years of software engineering or applied machine learning experience\n\n - A background in software engineering\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify the most impactful work and help define the future success of the company\n\n - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision\n\n\n\nCompensation\n\n - Annual salary range: $160,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"afb91b9b-46d5-4c9d-aa84-a4f1a3f74263","title":"Senior Frontend Engineer, AI Observability & Evals Platform ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-13T18:33:10.038+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/afb91b9b-46d5-4c9d-aa84-a4f1a3f74263","applyUrl":"https://jobs.ashbyhq.com/langchain/afb91b9b-46d5-4c9d-aa84-a4f1a3f74263/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
(In person 5 days/week in San Francisco, CA, New York, Boston )
We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field
Compensation
Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n(In person 5 days/week in San Francisco, CA, New York, Boston )\n\nWe’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. \n\n\n\n\nWHAT YOU WILL DO\n\n - Develop new user-facing features using React & Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n \n \n\n\nWHAT YOU WILL BRING\n\n - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n\n\nCompensation \n\nAnnual salary range: $175,000-$240,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e1263bfe-b638-4019-b4d5-0aacca93b2b3","title":"Software Engineering Manager, AI Observability & Evals Platform (New York, NY)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-11T19:45:59.292+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e1263bfe-b638-4019-b4d5-0aacca93b2b3","applyUrl":"https://jobs.ashbyhq.com/langchain/e1263bfe-b638-4019-b4d5-0aacca93b2b3/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.
Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence
Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
Maintain a high bar for technical excellence while making sure the team moves with urgency and focus
Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
Engage directly with customers to understand their needs and translate them into actionable product improvements
Experience managing or tech-leading teams delivering complex full-stack products
Strong technical background in Go/Python and React/Typescript
Solid understanding of databases (Postgres, Redis and ClickHouse)
Proven ability to design high throughput data-intensive systems
Bias towards shipping quickly and learning from customers
Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers
Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $200,000- $250,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability\n\n - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence\n\n - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform\n\n - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives\n\n - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus\n\n - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript\n\n - Engage directly with customers to understand their needs and translate them into actionable product improvements\n\n\n\n\nWHAT YOU'LL BRING\n\n - Experience managing or tech-leading teams delivering complex full-stack products\n\n - Strong technical background in Go/Python and React/Typescript\n\n - Solid understanding of databases (Postgres, Redis and ClickHouse)\n\n - Proven ability to design high throughput data-intensive systems\n\n - Bias towards shipping quickly and learning from customers\n\n - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers\n\n - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms\n\n\n\n - Annual salary range: $200,000- $250,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"a03b3e54-495d-4960-aee7-0194a3cef57d","title":"Senior Fullstack Engineer, AI Observability & Evals Platform ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-02-19T01:34:44.923+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/a03b3e54-495d-4960-aee7-0194a3cef57d","applyUrl":"https://jobs.ashbyhq.com/langchain/a03b3e54-495d-4960-aee7-0194a3cef57d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About Us:
In person 5 days/week in San Francisco
We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.
Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.
Collaborate closely with product and design teams to iterate on new features.
Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.
Lead by example in writing clean, maintainable, and well-tested code
5+ years of experience in software engineering working on complex platform products
Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.
Strong understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in a high-performance, data-intensive application
A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback
Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
Strong ownership mindset
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout Us:\n\n\nABOUT THE ROLE\n\nIn person 5 days/week in San Francisco\n\nWe're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders.\n\n\n\nWHAT YOU WILL DO\n\n - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack.\n\n - Collaborate closely with product and design teams to iterate on new features.\n\n - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met.\n\n - Lead by example in writing clean, maintainable, and well-tested code\n\n\n\n\nWHAT YOU BRING\n\n - 5+ years of experience in software engineering working on complex platform products\n\n - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend.\n\n - Strong understanding of database systems, particularly Postgres and Redis\n\n - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application\n\n - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback\n\n - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers\n\n - Strong ownership mindset\n\n - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms\n \n \n\nCompensation \n\n - Annual salary range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8aa63e71-b431-49d7-ab4a-bf4b3630d8e6","title":"Senior Technical Support Engineer","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Chicago, IL","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}}},{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}},{"location":"San Diego, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Los Angeles, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}}}],"publishedAt":"2026-05-06T17:12:53.644+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8aa63e71-b431-49d7-ab4a-bf4b3630d8e6","applyUrl":"https://jobs.ashbyhq.com/langchain/8aa63e71-b431-49d7-ab4a-bf4b3630d8e6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms
Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
Partner with Deployed Engineering to support critical enterprise customers.
Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
Lead post-mortems for critical incidents and feed learnings back into product and documentation.
Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
Mentor and coach other support engineers.
6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
Programming experience with Python. Bonus if you have TypeScript experience.
Hands-on knowledge of Kubernetes and Docker
Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
Experience supporting enterprise customers and collaborating with engineering on complex escalations.
A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented
Location: Remote
Annual salary range: $130,000 - $195,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.\n\n - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.\n\n - Partner with Deployed Engineering to support critical enterprise customers.\n\n - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.\n\n - Lead post-mortems for critical incidents and feed learnings back into product and documentation.\n\n - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.\n\n - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.\n\n - Mentor and coach other support engineers.\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).\n\n - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.\n\n - Programming experience with Python. Bonus if you have TypeScript experience.\n\n - Hands-on knowledge of Kubernetes and Docker\n\n - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).\n\n - Experience supporting enterprise customers and collaborating with engineering on complex escalations.\n\n - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.\n\n - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented\n\nLocation: Remote\n\n\n\n\nCOMPENSATION \n\n - Annual salary range: $130,000 - $195,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"22bd243f-4088-49e0-bf02-fbad4442b0cb","title":"Account Manager, Renewals & Expansion (East Coast)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"Atlanta, GA","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}}},{"location":"Nashville, TN","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"Washington DC","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}}},{"location":"Charlotte, NC","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Charlotte "}}}],"publishedAt":"2026-08-26T21:58:29.126+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/22bd243f-4088-49e0-bf02-fbad4442b0cb","applyUrl":"https://jobs.ashbyhq.com/langchain/22bd243f-4088-49e0-bf02-fbad4442b0cb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
Experience managing renewals in a consumption or usage-based pricing model.
Location: US East. Preferably New York
Compensation:
$230k OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nWe’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.\n\n - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.\n\n - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.\n\n - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.\n\n - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.\n\n - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.\n\n - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.\n\n - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.\n\n - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).\n\n - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.\n\n - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.\n\n - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.\n\n - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.\n\n - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.\n\n - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.\n\n\n(PREFERRED)\n\n - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.\n\n - Experience managing renewals in a consumption or usage-based pricing model.\n\n\n\nLocation: US East. Preferably New York \n\nCompensation: \n\n - $230k OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"ddf92275-1cc3-49c0-9f25-e8ded43b07f6","title":"FullStack Engineer, AI Observability & Evals Platform (LangSmith)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-08-15T18:44:16.707+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/ddf92275-1cc3-49c0-9f25-e8ded43b07f6","applyUrl":"https://jobs.ashbyhq.com/langchain/ddf92275-1cc3-49c0-9f25-e8ded43b07f6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.
Develop and implement key product features working across our entire Go, Python, and Typescript stack
Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code
2+ years of experience in software engineering working on complex platform products
Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
Solid understanding of database systems, particularly Postgres and Redis
Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback
Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $145,000-180,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\n We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.\n\n\n\nWHAT YOU WILL DO\n\n - Develop and implement key product features working across our entire Go, Python, and Typescript stack\n\n - Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap\n\n - Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 2+ years of experience in software engineering working on complex platform products\n\n - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend\n\n - Solid understanding of database systems, particularly Postgres and Redis\n\n - Experience designing and scaling APIs, preferably in high-performance, data-intensive applications\n\n - Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback\n\n - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers\n\n - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms\n\n\n\nCompensation\nAnnual salary range: $145,000-180,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c","title":"Frontend Engineer, AI Observability & Evals Platform ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-12T01:29:10.739+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c","applyUrl":"https://jobs.ashbyhq.com/langchain/f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About The Role:
We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.
*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do:
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
What You Will Bring:
2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field
Compensation
Annual salary range: $160,000-$195,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout The Role: \n\nWe’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging. \n\n*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.\n\n\nWhat You Will Do:\n\n - Develop new user-facing features using React & Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n\n\n\nWhat You Will Bring:\n\n - 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n\n\nCompensation\n\n - Annual salary range: $160,000-$195,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f07c1416-f126-4925-8606-5dd7c5a90f6f","title":"Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-01-08T12:04:40.975+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f07c1416-f126-4925-8606-5dd7c5a90f6f","applyUrl":"https://jobs.ashbyhq.com/langchain/f07c1416-f126-4925-8606-5dd7c5a90f6f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
In person 5 days/week in San Francisco, Boston, MA, New York.
We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.
Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
Collaborate on architectural decisions to ensure systems are performant and maintainable.
Optimize storage and query performance for high-volume observability and evaluation data.
Ensure system reliability through strong testing, monitoring, and alerting practices.
Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
Create and maintain technical documentation, including system design and API references.
Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
5+ years of professional experience in backend engineering working on highly complex products
Proficiency in one or more backend languages/frameworks, ideally Python or Go
Strong understanding of API design and building reliable data services.
Experience with high-throughput or mission-critical systems.
Demonstrated ability to optimize backend services for performance and reliability.
Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
Strong communication skills, with the ability to collaborate cross-functionally
Customer centricity and ownership mentality
Compensation
Annual salary range: $175,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nIn person 5 days/week in San Francisco, Boston, MA, New York.\n\nWe are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.\n\n - Collaborate on architectural decisions to ensure systems are performant and maintainable.\n\n - Optimize storage and query performance for high-volume observability and evaluation data.\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices.\n\n - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.\n\n - Create and maintain technical documentation, including system design and API references.\n\n - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of professional experience in backend engineering working on highly complex products\n\n - Proficiency in one or more backend languages/frameworks, ideally Python or Go\n\n - Strong understanding of API design and building reliable data services.\n\n - Experience with high-throughput or mission-critical systems.\n\n - Demonstrated ability to optimize backend services for performance and reliability.\n\n - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)\n\n - Strong communication skills, with the ability to collaborate cross-functionally\n\n - Customer centricity and ownership mentality\n \n \n\nCompensation \n\nAnnual salary range: $175,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6f32998b-111c-447b-b593-2b64c7de245d","title":"Senior Backend Engineer, Enterprise Readiness & Identity","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-01-08T12:04:43.145+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6f32998b-111c-447b-b593-2b64c7de245d","applyUrl":"https://jobs.ashbyhq.com/langchain/6f32998b-111c-447b-b593-2b64c7de245d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers.
About the Role
LangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness & Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers.
This is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings.
Location: In-person 5 days/week in New York City, San Francisco, or Boston.
What You'll Do
Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning
Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations
Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale
Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support
Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy
Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability
Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements
Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable
Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities
Write clean, maintainable, and well-documented backend code
What You'll Bring
Technical experience
5+ years of backend engineering experience with Python or Go (both preferred)
Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM
Experience building and scaling access control systems such as RBAC or ABAC frameworks
Experience building billing or usage infrastructure in SaaS environments
Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure
Enterprise systems experience
Comfort navigating enterprise security, compliance, and multi-tenant architectures
Prior experience building enterprise-grade SaaS platforms or developer platforms
Working style
Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments
Nice to Have
Background in security, observability, or developer infrastructure
Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
Annual salary range: $175,000- $240,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. The team focuses on identity, authentication, authorization, billing, compliance, and tenant management to ensure our platform meets the security and operational requirements of enterprise customers.\n\n\n\nAbout the Role\nLangChain is hiring a Senior Backend Engineer focused on Enterprise Readiness & Identity to build the features that make our platform secure, compliant, and scalable for enterprise customers.\n\nThis is a high-impact role on a newly formed team working at the intersection of authentication, authorization, billing, security, compliance, and tenant management. You’ll collaborate closely with infrastructure, product, GTM teams, and our largest enterprise users to shape the foundation of our enterprise offerings.\n\nLocation: In-person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat You'll Do\n\n - Design and implement backend services (Python/Go) powering enterprise authentication, authorization, billing, and tenant provisioning\n\n - Build and evolve systems for SAML, SCIM, OAuth2, and single sign-on (SSO) integrations\n\n - Develop robust role-based and attribute-based access control systems (RBAC/ABAC) at organizational scale\n\n - Build and scale billing infrastructure including invoicing, usage-based charging, and flexible pricing model support\n\n - Implement audit logging, usage tracking, and metering pipelines to support compliance and billing accuracy\n\n - Optimize enterprise onboarding and tenant lifecycle management for reliability and scalability\n\n - Collaborate with security and compliance teams to support SOC2, GDPR, and other regulatory requirements\n\n - Partner with infrastructure engineers to ensure identity and enterprise features are performant, reliable, and observable\n\n - Engage directly with enterprise customers to translate requirements into secure, scalable platform capabilities\n\n - Write clean, maintainable, and well-documented backend code\n\n\n\nWhat You'll Bring\n\n - Technical experience\n \n - 5+ years of backend engineering experience with Python or Go (both preferred)\n \n - Deep knowledge of authentication and identity standards including OAuth2, SAML, JWTs, and SCIM\n \n - Experience building and scaling access control systems such as RBAC or ABAC frameworks\n \n - Experience building billing or usage infrastructure in SaaS environments\n \n - Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure\n \n Enterprise systems experience\n \n - Comfort navigating enterprise security, compliance, and multi-tenant architectures\n \n - Prior experience building enterprise-grade SaaS platforms or developer platforms\n \n Working style\n \n - Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments\n \n Nice to Have\n \n - Background in security, observability, or developer infrastructure\n \n - Familiarity with LLMs, GenAI applications, or agentic frameworks\n \n \n\nCompensation\n\n - Annual salary range: $175,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c75915ba-a32b-4e17-873d-19b47564170d","title":"Fullstack Software Engineer, Applied AI","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-09-12T06:08:52.349+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c75915ba-a32b-4e17-873d-19b47564170d","applyUrl":"https://jobs.ashbyhq.com/langchain/c75915ba-a32b-4e17-873d-19b47564170d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.
We’re hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.
In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI.
*This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office are five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
Translate emerging AI research and tooling into practical, production-ready solutions.
Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.
Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
Strong coding skills in Python or TypeScript (ideally both).
Excellent communicator who can simplify complex technical ideas for diverse audiences.
Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.
Expertise with LangChain or LangGraph.
Experience building or maintaining open source projects.
Background in applied AI research or agentic workflow development.
Based in San Francisco (preferred), NYC, or Boston.
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual Annual Salary Range: $165,000 - $190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.\n\n\n\n\nABOUT THE ROLE\n\nWe’re hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product.\n\n\n\nIn this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI.\n\n\n\n*This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office are five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.\n\n\n\n\n\nWHAT YOU WILL DO\n\n - Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.\n\n - Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.\n\n - Translate emerging AI research and tooling into practical, production-ready solutions.\n\n - Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.\n\n - Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.\n\n - Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.\n\n\n\n\nWHAT YOU WILL BRING\n\n - Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).\n\n - Hands-on experience implementing evaluation and monitoring systems for agents or workflows.\n\n - Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.\n\n - Strong coding skills in Python or TypeScript (ideally both).\n\n - Excellent communicator who can simplify complex technical ideas for diverse audiences.\n\n - Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.\n\n - Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.\n \n \n\n\nNICE TO HAVES\n\n - Expertise with LangChain or LangGraph.\n\n - Experience building or maintaining open source projects.\n\n - Background in applied AI research or agentic workflow development.\n\n - Based in San Francisco (preferred), NYC, or Boston.\n\n\n\n\nCOMPENSATION\n\nWe offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual Annual Salary Range: $165,000 - $190,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d1ffe5ac-2f03-408b-a051-dad74c72771c","title":"Commercial Counsel","department":"Legal","team":"Legal","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-14T15:20:08.132+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d1ffe5ac-2f03-408b-a051-dad74c72771c","applyUrl":"https://jobs.ashbyhq.com/langchain/d1ffe5ac-2f03-408b-a051-dad74c72771c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models.
We are seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across LangChain’s go-to-market and business operations. In this role, you will draft, review, and negotiate a mix of customer, partner, vendor, and other commercial agreements, helping the business move quickly while thoughtfully managing legal and operational risk.
This is a highly cross-functional role for someone who enjoys working close to the business and is excited to support both day-to-day contracting and the systems that make contracting more scalable. You’ll work closely with teams across Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations to help structure, negotiate, and execute agreements that support LangChain’s growth.
Over time, this role may take on increasing responsibility for LangChain’s partner and alliances work, including technology partnerships, channel relationships, integrations, and strategic go-to-market initiatives. In the near term, the role will support a broader variety of commercial agreements, including vendor contracts, while helping build out the processes and infrastructure needed for scale.
You will also play an important role in improving LangChain’s commercial legal operations, including helping design vendor review processes, contracting workflows, templates, playbooks, approval paths, and supporting the implementation of Ironclad.
Draft, review, redline, and negotiate a broad range of commercial agreements, including customer agreements, partner agreements, vendor agreements, NDAs, order forms, MSAs, DPAs, security addenda, amendments, and related commercial documentation.
Support LangChain’s Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations teams by providing practical, business-oriented legal guidance.
Review and negotiate commercial agreements efficiently, while identifying when issues require escalation or cross-functional input.
Support enterprise sales deals as needed, including SaaS, cloud, and technology agreements with sophisticated customers.
Support partner and alliance-related agreements, including technology partnerships, referral arrangements, reseller or channel relationships, integration partnerships, marketplace arrangements, co-selling motions, and strategic collaborations.
Review and negotiate vendor agreements and help develop a scalable vendor review process, including intake, risk assessment, approval workflows, fallback positions, and cross-functional review practices.
Partner closely with internal stakeholders to facilitate efficient deal execution while balancing legal, business, security, financial, and operational risk.
Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, confidentiality, indemnities, limitation of liability, compliance, partner programs, integrations, and vendor risk.
Help implement and operationalize Ironclad, including contract intake workflows, approval routing, templates, clause libraries, playbooks, reporting, and process improvements.
Contribute to the development and continuous improvement of contract templates, negotiation guidelines, approval workflows, fallback positions, and scalable contracting processes.
Identify patterns across customer, partner, and vendor negotiations and recommend practical improvements to LangChain’s standard positions, processes, and risk frameworks.
Serve as a trusted legal partner to business stakeholders, helping teams understand tradeoffs and make sound decisions in ambiguous or fast-moving situations.
5–8 years of experience drafting, reviewing, and negotiating commercial technology agreements, ideally with a mix of law firm and in-house experience.
In-house experience at a SaaS, infrastructure, AI, cloud, developer tools, enterprise software, or high-growth technology company strongly preferred.
Experience with a broad mix of commercial agreements, including customer agreements, vendor agreements, partner agreements, NDAs, MSAs, order forms, DPAs, security addenda, amendments, and related documentation.
Experience supporting partnerships, alliances, channel, reseller, marketplace, referral, integration, co-sell, or other ecosystem-driven commercial arrangements.
Strong foundation in SaaS, cloud, or technology contracting, including familiarity with data privacy, security, intellectual property, confidentiality, indemnity, limitation of liability, AI/LLM usage, and compliance issues in a B2B technology environment.
Comfort managing a steady volume of agreements of varying complexity, from routine vendor or commercial contracts to more strategic partner or customer transactions.
Ability to independently manage negotiations while knowing when to escalate novel, complex, or higher-risk issues.
Experience helping build or improve legal processes, contracting workflows, approval paths, templates, playbooks, vendor review processes, or other legal operations infrastructure.
Experience with Ironclad or another contract lifecycle management platform is a plus.
Strong business judgment and the ability to balance legal risk with commercial objectives in a fast-paced, high-growth environment.
Excellent communication skills and comfort advising non-legal stakeholders across Sales, Partnerships, Product, Security, Finance, Revenue Operations, and Operations.
Highly organized, responsive, and able to manage multiple priorities with strong attention to detail.
Low-ego, collaborative, and excited to help build scalable legal processes for a growing company.
Admitted to practice law in the applicable jurisdiction; California admission preferred, or ability to register as in-house counsel in California.
Compensation range: 150K - 215K + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLangChain builds infrastructure that powers AI-native applications. Our open-source framework and commercial products enable developers and enterprises to build, deploy, and scale applications with large language models.\n\nWe are seeking a business-minded Commercial Counsel to support a broad range of commercial legal work across LangChain’s go-to-market and business operations. In this role, you will draft, review, and negotiate a mix of customer, partner, vendor, and other commercial agreements, helping the business move quickly while thoughtfully managing legal and operational risk.\n\nThis is a highly cross-functional role for someone who enjoys working close to the business and is excited to support both day-to-day contracting and the systems that make contracting more scalable. You’ll work closely with teams across Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations to help structure, negotiate, and execute agreements that support LangChain’s growth.\n\nOver time, this role may take on increasing responsibility for LangChain’s partner and alliances work, including technology partnerships, channel relationships, integrations, and strategic go-to-market initiatives. In the near term, the role will support a broader variety of commercial agreements, including vendor contracts, while helping build out the processes and infrastructure needed for scale.\n\nYou will also play an important role in improving LangChain’s commercial legal operations, including helping design vendor review processes, contracting workflows, templates, playbooks, approval paths, and supporting the implementation of Ironclad.\n\n\n\n\nWHAT YOU’LL DO\n\n - Draft, review, redline, and negotiate a broad range of commercial agreements, including customer agreements, partner agreements, vendor agreements, NDAs, order forms, MSAs, DPAs, security addenda, amendments, and related commercial documentation.\n\n - Support LangChain’s Sales, Partnerships, Finance, Security, Product, Revenue Operations, and Operations teams by providing practical, business-oriented legal guidance.\n\n - Review and negotiate commercial agreements efficiently, while identifying when issues require escalation or cross-functional input.\n\n - Support enterprise sales deals as needed, including SaaS, cloud, and technology agreements with sophisticated customers.\n\n - Support partner and alliance-related agreements, including technology partnerships, referral arrangements, reseller or channel relationships, integration partnerships, marketplace arrangements, co-selling motions, and strategic collaborations.\n\n - Review and negotiate vendor agreements and help develop a scalable vendor review process, including intake, risk assessment, approval workflows, fallback positions, and cross-functional review practices.\n\n - Partner closely with internal stakeholders to facilitate efficient deal execution while balancing legal, business, security, financial, and operational risk.\n\n - Advise on contractual issues related to data protection, privacy, security, intellectual property, AI/LLM usage, confidentiality, indemnities, limitation of liability, compliance, partner programs, integrations, and vendor risk.\n\n - Help implement and operationalize Ironclad, including contract intake workflows, approval routing, templates, clause libraries, playbooks, reporting, and process improvements.\n\n - Contribute to the development and continuous improvement of contract templates, negotiation guidelines, approval workflows, fallback positions, and scalable contracting processes.\n\n - Identify patterns across customer, partner, and vendor negotiations and recommend practical improvements to LangChain’s standard positions, processes, and risk frameworks.\n\n - Serve as a trusted legal partner to business stakeholders, helping teams understand tradeoffs and make sound decisions in ambiguous or fast-moving situations.\n\n\n\n\nWHAT YOU’LL BRING\n\n - 5–8 years of experience drafting, reviewing, and negotiating commercial technology agreements, ideally with a mix of law firm and in-house experience.\n\n - In-house experience at a SaaS, infrastructure, AI, cloud, developer tools, enterprise software, or high-growth technology company strongly preferred.\n\n - Experience with a broad mix of commercial agreements, including customer agreements, vendor agreements, partner agreements, NDAs, MSAs, order forms, DPAs, security addenda, amendments, and related documentation.\n\n - Experience supporting partnerships, alliances, channel, reseller, marketplace, referral, integration, co-sell, or other ecosystem-driven commercial arrangements.\n\n - Strong foundation in SaaS, cloud, or technology contracting, including familiarity with data privacy, security, intellectual property, confidentiality, indemnity, limitation of liability, AI/LLM usage, and compliance issues in a B2B technology environment.\n\n - Comfort managing a steady volume of agreements of varying complexity, from routine vendor or commercial contracts to more strategic partner or customer transactions.\n\n - Ability to independently manage negotiations while knowing when to escalate novel, complex, or higher-risk issues.\n\n - Experience helping build or improve legal processes, contracting workflows, approval paths, templates, playbooks, vendor review processes, or other legal operations infrastructure.\n\n - Experience with Ironclad or another contract lifecycle management platform is a plus.\n\n - Strong business judgment and the ability to balance legal risk with commercial objectives in a fast-paced, high-growth environment.\n\n - Excellent communication skills and comfort advising non-legal stakeholders across Sales, Partnerships, Product, Security, Finance, Revenue Operations, and Operations.\n\n - Highly organized, responsive, and able to manage multiple priorities with strong attention to detail.\n\n - Low-ego, collaborative, and excited to help build scalable legal processes for a growing company.\n\n - Admitted to practice law in the applicable jurisdiction; California admission preferred, or ability to register as in-house counsel in California.\n\nCompensation range: 150K - 215K + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"70b5d446-7238-4324-9e70-a971b67a438c","title":"Enterprise Account Executive (Florida)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Tampa, FL","secondaryLocations":[],"publishedAt":"2026-06-12T13:43:31.681+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Tampa"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/70b5d446-7238-4324-9e70-a971b67a438c","applyUrl":"https://jobs.ashbyhq.com/langchain/70b5d446-7238-4324-9e70-a971b67a438c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Florida
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - Florida\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6c1c47cf-fac0-4367-975e-795197df2c5d","title":"Enterprise Account Executive (Atlanta)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[],"publishedAt":"2026-06-06T17:20:00.858+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6c1c47cf-fac0-4367-975e-795197df2c5d","applyUrl":"https://jobs.ashbyhq.com/langchain/6c1c47cf-fac0-4367-975e-795197df2c5d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Atlanta
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - Atlanta\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c4d1c09c-a721-4890-9d28-8dd97d19f52b","title":"Enterprise Account Executive (Nashville)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Nashville, TN","secondaryLocations":[],"publishedAt":"2026-06-12T13:43:59.069+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c4d1c09c-a721-4890-9d28-8dd97d19f52b","applyUrl":"https://jobs.ashbyhq.com/langchain/c4d1c09c-a721-4890-9d28-8dd97d19f52b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Nashville
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual salary: $350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - Nashville\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation \n\nAnnual salary: $350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7b4aad6c-db46-489d-8426-72217e2923f2","title":"Senior Fullstack Engineer, Growth & Monetization","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-10-23T20:55:41.348+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7b4aad6c-db46-489d-8426-72217e2923f2","applyUrl":"https://jobs.ashbyhq.com/langchain/7b4aad6c-db46-489d-8426-72217e2923f2/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.
About the role
LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.
What you'll do
Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention
Build flexible experimentation systems and processes capable of targeting diverse growth metrics
Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization
Design and ship new onboarding features and improvements that accelerate time to value
Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs
Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities
What you'll bring
Extensive fullstack software development experience using React, TypeScript, and Go and/or Python
Strong product intuition and a track record of working on monetization, pricing, or activation features
Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments
Comfortable working with REST APIs, Postgres, Redis, and modern backend infra
Startup DNA with the ability to thrive in fast-paced, zero-to-one environments
Self-directed with an ownership mindset
Bonus: Experience building for developers or product-led growth platforms
Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
Salary Range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.\n\n\n\nAbout the role\n\nLangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat you'll do\n\n - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention\n\n - Build flexible experimentation systems and processes capable of targeting diverse growth metrics\n\n - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization\n\n - Design and ship new onboarding features and improvements that accelerate time to value\n\n - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs\n\n - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities\n\n\n\nWhat you'll bring\n\n - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python\n\n - Strong product intuition and a track record of working on monetization, pricing, or activation features\n\n - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments\n\n - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra\n\n - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments\n\n - Self-directed with an ownership mindset\n\n - Bonus: Experience building for developers or product-led growth platforms\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - Salary Range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"27af5f96-b287-4bcc-8679-f96686dc7c8d","title":"Product Manager, LangSmith","department":"Product","team":"Product","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}}],"publishedAt":"2025-11-24T19:55:46.884+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/27af5f96-b287-4bcc-8679-f96686dc7c8d","applyUrl":"https://jobs.ashbyhq.com/langchain/27af5f96-b287-4bcc-8679-f96686dc7c8d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.
This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.
You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.
Own the roadmap for a core area of the LangSmith platform.
Work with customers to understand their challenges and define new product features.
Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly.
Help shape product strategy alongside our founders and leadership team.
3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.
Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.
Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.
Strong written and verbal communicator who can align cross-functional teams around a shared vision.
Computer Science, Engineering, or equivalent technical background.
Previous experience at a high-growth startup or developer-focused company.
Hands-on experience building with LLMs, agents, or AI applications.
Annual salary range: $180,000-$215,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible.\n\n\n\n\nWHAT YOU'LL DO\n\nThis role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases.\n\nYou'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows.\n\n - Own the roadmap for a core area of the LangSmith platform.\n\n - Work with customers to understand their challenges and define new product features.\n\n - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly.\n\n - Help shape product strategy alongside our founders and leadership team.\n\n\n\n\nWHAT YOU'LL BRING\n\n - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms.\n\n - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues.\n\n - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront.\n\n - Strong written and verbal communicator who can align cross-functional teams around a shared vision.\n\n\n\n\n\nNICE TO HAVE\n\n - Computer Science, Engineering, or equivalent technical background.\n\n - Previous experience at a high-growth startup or developer-focused company.\n\n - Hands-on experience building with LLMs, agents, or AI applications.\n\n\n\n - Annual salary range: $180,000-$215,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e12d7176-8b9f-438a-8f3b-0cbbffab9c5c","title":"Deployed Architect, Professional Services (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-27T21:34:31.900+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c","applyUrl":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Location: San Francisco
Compensation: $170,000-$215,000 base salary + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\nLocation: San Francisco\n\nCompensation: $170,000-$215,000 base salary + equity \n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"cb61f821-d8c4-4ec5-940d-3fd83be63a5f","title":"Senior Backend Engineer, LangSmith Deployments","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-02-25T02:21:33.130+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/cb61f821-d8c4-4ec5-940d-3fd83be63a5f","applyUrl":"https://jobs.ashbyhq.com/langchain/cb61f821-d8c4-4ec5-940d-3fd83be63a5f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production.
We're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments.
We're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred.
Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure
Own core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolution
Collaborate on architectural decisions, ensuring solutions are scalable and robust.
Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state
Instrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthy
Participate in on-call rotations and own incident response for the runtime
Create and maintain technical documentation, including system design and operational runbooks.
Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications
4+ years of professional backend engineering experience
Strong proficiency in Go and/or python
Experience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestration
Experience with scaling and sharding databases in high throughput environments
Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform
Strong communication skills and ability to work cross-functionally on a small team
Annual salary range: $175,000-$240,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployment team builds the platform that runs AI agents in production. We design and scale the core durable execution runtime to power reliable long-running agents with resumable streaming and inter-agent protocol support. We work closely with open source and other product teams to make it easy to bring any agent from prototype to production.\n\n\n\n\nABOUT THE ROLE\n\nWe're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments.\n\n\n\n\nWHAT YOU'LL DO\n\nWe're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred.\n\n - Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructure\n\n - Own core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolution\n\n - Collaborate on architectural decisions, ensuring solutions are scalable and robust.\n\n - Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing state\n\n - Instrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthy\n\n - Participate in on-call rotations and own incident response for the runtime\n\n - Create and maintain technical documentation, including system design and operational runbooks.\n\n - Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applications\n \n \n\n\nWHAT YOU'LL BRING\n\n - 4+ years of professional backend engineering experience\n\n - Strong proficiency in Go and/or python\n\n - Experience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestration\n\n - Experience with scaling and sharding databases in high throughput environments\n\n - Familiarity with Kubernetes, infrastructure-as-code, and at least one major cloud platform\n\n - Strong communication skills and ability to work cross-functionally on a small team\n \n \n\n - Annual salary range: $175,000-$240,00 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"5f5f8239-603c-47ca-a1ee-5a7ed34b502d","title":"Deployed Engineer (UK)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-01-18T03:56:54.526+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/5f5f8239-603c-47ca-a1ee-5a7ed34b502d","applyUrl":"https://jobs.ashbyhq.com/langchain/5f5f8239-603c-47ca-a1ee-5a7ed34b502d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"72eefb77-605d-4616-adda-820eb5208ac8","title":"People Partner","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-01-21T18:21:22.575+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/72eefb77-605d-4616-adda-820eb5208ac8","applyUrl":"https://jobs.ashbyhq.com/langchain/72eefb77-605d-4616-adda-820eb5208ac8/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just \"supporting\" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil.
We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership.
San Francisco, CA; New York, NY
Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks.
Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds.
AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration.
Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar.
Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions.
Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence.
XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business.
Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment.
Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity.
Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively.
Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations.
Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive.
Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket.
Annual salary range: $160,000 - $230,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just \"supporting\" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil.\n\nWe are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership.\n\n\n\nLOCATION/CITY:\n\nSan Francisco, CA; New York, NY\n\n\n\n\nRESPONSIBILITIES:\n\n - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks.\n\n - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds.\n\n - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration.\n\n - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar.\n\n - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions.\n\n - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence.\n\n - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business.\n\n\n\n\nREQUIREMENTS:\n\n - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment.\n\n - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity.\n\n - Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively.\n\n - Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations.\n\n - Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive.\n\n - Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket.\n\n\n\n\nCOMPENSATION \n\n - Annual salary range: $160,000 - $230,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e773649c-4ea7-47c2-9987-74d525474e82","title":"Deployed Engineer (Bay Area)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-21T19:37:15.876+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e773649c-4ea7-47c2-9987-74d525474e82","applyUrl":"https://jobs.ashbyhq.com/langchain/e773649c-4ea7-47c2-9987-74d525474e82/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $165,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\n \n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nSales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n \n \n\n\nABOUT THE ROLE\n\n \n\nYou'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $165,000–$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"25d40647-c821-46ff-bf25-bacf21fa38b5","title":"Deployed Engineer (NYC)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-04T22:44:09.137+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/25d40647-c821-46ff-bf25-bacf21fa38b5","applyUrl":"https://jobs.ashbyhq.com/langchain/25d40647-c821-46ff-bf25-bacf21fa38b5/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $165,000–$380,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $165,000–$380,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"937e131f-1055-4f1f-bd8a-f036e4ba0666","title":"Deployed Engineer (Austin)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Austin, TX","secondaryLocations":[],"publishedAt":"2026-08-03T14:43:37.455+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/937e131f-1055-4f1f-bd8a-f036e4ba0666","applyUrl":"https://jobs.ashbyhq.com/langchain/937e131f-1055-4f1f-bd8a-f036e4ba0666/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 40% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 40% of the time\n \n \n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"b9cf3229-c257-4536-bae6-e9b63134dc68","title":"Enterprise Account Executive (NYC)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-04-14T20:49:44.584+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/b9cf3229-c257-4536-bae6-e9b63134dc68","applyUrl":"https://jobs.ashbyhq.com/langchain/b9cf3229-c257-4536-bae6-e9b63134dc68/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
New York City
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nLocation:\n\n - New York City\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation \n\nAnnual OTE: $350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"1b125fc4-be24-422f-a180-30b7431fc6cf","title":"Senior Frontend Platform Engineer, Design Systems","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-22T02:01:29.778+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/1b125fc4-be24-422f-a180-30b7431fc6cf","applyUrl":"https://jobs.ashbyhq.com/langchain/1b125fc4-be24-422f-a180-30b7431fc6cf/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.
As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.
This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.
You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.
What You’ll Do:
Build and own LangChain’s component library
Design and implement reusable, composable React components that are flexible, accessible, and production-ready
Partner closely with designers to translate design systems, tokens, and interaction patterns into code
Build reliable UI quality systems
Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)
Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack
Improve UI build and test workflows
Optimize build performance, bundling strategy, and package versioning for the component library
Maintain tooling for testing, dependency management of the UI app
Strong experience building modular, composable, and well-documented component libraries and/or design systems
Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)
Experience collaborating closely with designers and non-engineering partners
Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design
Familiarity with testing UI components and visual regression testing
Compensation:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $170,000 - $195,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT US:\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\n\nABOUT THE ROLE:\n\nLangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products.\n\n\n\nAs our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency.\n\n\n\nThis role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product.\n\n\n\nYou’ll have ownership, influence, and your work will be directly consumed across LangChain’s products.\n\nWhat You’ll Do: \n\n - Build and own LangChain’s component library\n \n - Design and implement reusable, composable React components that are flexible, accessible, and production-ready\n \n - Partner closely with designers to translate design systems, tokens, and interaction patterns into code\n\n - Build reliable UI quality systems\n \n - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook)\n \n - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack\n\n - Improve UI build and test workflows\n \n - Optimize build performance, bundling strategy, and package versioning for the component library\n \n - Maintain tooling for testing, dependency management of the UI app\n\n\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE: \n\n - Strong experience building modular, composable, and well-documented component libraries and/or design systems\n\n - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)\n\n - Experience collaborating closely with designers and non-engineering partners\n\n - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design\n\n - Familiarity with testing UI components and visual regression testing\n \n \n\nCompensation: \n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. \n\n - Annual salary range: $170,000 - $195,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"426359a5-3a48-4b81-ba25-b2f32678b153","title":"Commercial Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-03-24T06:26:11.037+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/426359a5-3a48-4b81-ba25-b2f32678b153","applyUrl":"https://jobs.ashbyhq.com/langchain/426359a5-3a48-4b81-ba25-b2f32678b153/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $220,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in San Francisco, New York\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary range: $220,000 OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7b1e5ff7-4531-4d4a-8379-52a21b6d386d","title":"Security Engineer - Detection & Response","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-17T16:55:34.332+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7b1e5ff7-4531-4d4a-8379-52a21b6d386d","applyUrl":"https://jobs.ashbyhq.com/langchain/7b1e5ff7-4531-4d4a-8379-52a21b6d386d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.
You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must.
This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly.
Location/City: San Francisco or NYC
Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work.
Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful.
Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements.
Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy.
Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes.
Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design.
5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work.
Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts.
Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections.
Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise.
Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates.
Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production.
A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively.
Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.
Proficiency using AI tooling to accelerate security investigations and engineering work.
Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads.
Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.
Experience with infrastructure as code such as Terraform or Helm.
Experience securing both SaaS and self-hosted or air-gapped deployments.
Annual salary range: $180,000- $240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\n\n\nThe Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.\n\n\n\n\nABOUT THE ROLE\n\n\n\nYou'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must.\n\nThis role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly.\n\nLocation/City: San Francisco or NYC\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work.\n\n - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful.\n\n - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements.\n\n - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy.\n\n - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes.\n\n - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design.\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work.\n\n - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts.\n\n - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections.\n\n - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise.\n\n - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates.\n\n - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production.\n\n - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively.\n\n\n\n\nNICE TO HAVE\n\n\n\n - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.\n\n - Proficiency using AI tooling to accelerate security investigations and engineering work.\n\n - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads.\n\n - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.\n\n - Experience with infrastructure as code such as Terraform or Helm.\n\n - Experience securing both SaaS and self-hosted or air-gapped deployments.\n \n \n \n Annual salary range: $180,000- $240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"33f6d721-f75f-4fcc-8df9-e2a13c018e1c","title":"Software Engineering Manager, AI Observability & Evals Platform (San Francisco, CA)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-06T18:43:50.085+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/33f6d721-f75f-4fcc-8df9-e2a13c018e1c","applyUrl":"https://jobs.ashbyhq.com/langchain/33f6d721-f75f-4fcc-8df9-e2a13c018e1c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.
Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability
Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence
Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform
Partner with product and design teams to define scope, sequence, and success criteria for key initiatives
Maintain a high bar for technical excellence while making sure the team moves with urgency and focus
Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript
Engage directly with customers to understand their needs and translate them into actionable product improvements
Experience managing or tech-leading teams delivering complex full-stack products
Strong technical background in Go/Python and React/Typescript
Solid understanding of databases (Postgres, Redis and ClickHouse)
Proven ability to design high throughput data-intensive systems
Bias towards shipping quickly and learning from customers
Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers
Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms
Annual salary range: $200,000- $250,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability\n\n - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence\n\n - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform\n\n - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives\n\n - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus\n\n - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript\n\n - Engage directly with customers to understand their needs and translate them into actionable product improvements\n\n\n\n\nWHAT YOU'LL BRING\n\n - Experience managing or tech-leading teams delivering complex full-stack products\n\n - Strong technical background in Go/Python and React/Typescript\n\n - Solid understanding of databases (Postgres, Redis and ClickHouse)\n\n - Proven ability to design high throughput data-intensive systems\n\n - Bias towards shipping quickly and learning from customers\n\n - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers\n\n - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms\n\n\n\n - Annual salary range: $200,000- $250,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"3c38ac0d-4cb5-4c04-86c0-37b20166c8ec","title":"Enterprise Account Executive (Chicago)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[],"publishedAt":"2026-07-30T15:51:15.246+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3c38ac0d-4cb5-4c04-86c0-37b20166c8ec","applyUrl":"https://jobs.ashbyhq.com/langchain/3c38ac0d-4cb5-4c04-86c0-37b20166c8ec/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
We are looking for candidates across the North Central region.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nWe are looking for candidates across the North Central region.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION\n\nAnnual OTE range: $300,000 - 350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e86a5b13-75e7-4b4e-bc18-3c81b58d1543","title":"Enterprise Account Executive (Ohio)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Cincinnati, OH","secondaryLocations":[{"location":"Detroit, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Detroit"}}}],"publishedAt":"2026-07-30T15:51:35.365+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e86a5b13-75e7-4b4e-bc18-3c81b58d1543","applyUrl":"https://jobs.ashbyhq.com/langchain/e86a5b13-75e7-4b4e-bc18-3c81b58d1543/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual OTE range: $300,000 - 350,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"fd3767ba-6247-47bd-85ae-7e76be3871e6","title":"Enterprise Account Executive (Dallas)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-07-30T15:53:23.599+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/fd3767ba-6247-47bd-85ae-7e76be3871e6","applyUrl":"https://jobs.ashbyhq.com/langchain/fd3767ba-6247-47bd-85ae-7e76be3871e6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
We are open to candidates across Texas.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nWe are open to candidates across Texas. \n\n\n\n\nWHAT YOU’LL DO\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION \n\nAnnual OTE range: $300,000 - 350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"2e05a8c8-a9d8-4627-a651-6700923b2a70","title":"Enterprise Account Executive (Houston)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Houston, TX","secondaryLocations":[],"publishedAt":"2026-07-30T15:53:32.511+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"TX","addressCountry":"United States","addressLocality":"Houston"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/2e05a8c8-a9d8-4627-a651-6700923b2a70","applyUrl":"https://jobs.ashbyhq.com/langchain/2e05a8c8-a9d8-4627-a651-6700923b2a70/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Annual OTE range: $300,000 - 350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\nCOMPENSATION\n\nAnnual OTE range: $300,000 - 350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"32c6fe13-76e0-49a2-849d-991014416987","title":"GTM Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-15T07:40:02.532+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/32c6fe13-76e0-49a2-849d-991014416987","applyUrl":"https://jobs.ashbyhq.com/langchain/32c6fe13-76e0-49a2-849d-991014416987/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.
Nice to Haves:
Expertise with LangSmith for evaluation and monitoring.
Experience building or maintaining open-source projects.
A background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation:
We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary: $160K - $180K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.\n\nYou will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.\n\n\n\n\nYOU WILL:\n\n - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.\n\n - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.\n\n - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.\n\n - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.\n\n - Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.\n\n\nWHAT WE ARE LOOKING FOR:\n\n - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.\n\n - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.\n\n - Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.\n\n - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.\n\n - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.\n\nNice to Haves:\n\n - Expertise with LangSmith for evaluation and monitoring.\n\n - Experience building or maintaining open-source projects.\n\n - A background in technical consulting, solutions engineering, or high-growth GTM teams.\n\nCompensation:\n\n - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.\n\n - Salary: $160K - $180K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c16d44ab-faf0-4111-9ca7-8acb5dffcf46","title":"Enterprise Account Executive (UK)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-06-30T21:03:36.482+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c16d44ab-faf0-4111-9ca7-8acb5dffcf46","applyUrl":"https://jobs.ashbyhq.com/langchain/c16d44ab-faf0-4111-9ca7-8acb5dffcf46/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
UK
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - UK\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c8150807-d346-47d5-9242-b0994d77ca87","title":"Enterprise Account Executive (Germany)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Europe","secondaryLocations":[],"publishedAt":"2026-04-14T20:31:42.851+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"United Kingdom","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c8150807-d346-47d5-9242-b0994d77ca87","applyUrl":"https://jobs.ashbyhq.com/langchain/c8150807-d346-47d5-9242-b0994d77ca87/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\n\nWHAT YOU WILL BRING\n\n\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6c5eacaf-0f0c-43c5-bac8-78c98424b979","title":"Regional Director, Enterprise Sales ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-11T22:52:00.452+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6c5eacaf-0f0c-43c5-bac8-78c98424b979","applyUrl":"https://jobs.ashbyhq.com/langchain/6c5eacaf-0f0c-43c5-bac8-78c98424b979/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.
As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.
This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.
Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.
Lead, coach, and develop a team of enterprise Account Executives.
Build a culture of accountability, customer obsession, strong qualification, and consistent execution.
Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.
Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.
Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.
Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.
Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.
Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.
Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.
Recruit, onboard, and retain high-performing sales talent as the region grows.
7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.
Proven track record managing teams that sell complex technical products to enterprise customers.
Experience hiring, coaching, and developing high-performing Account Executives.
Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.
Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.
Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.
Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.
Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.
High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.
Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.
Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.
Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.
Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.
Prior success selling into both digital-native and large enterprise accounts.
Experience working in a highly technical, product-led, or open-source-influenced sales environment.
AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.
You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.
Compensation: $350,000 - $400,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.\n\nAs Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.\n\nThis role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.\n\n - Lead, coach, and develop a team of enterprise Account Executives.\n\n - Build a culture of accountability, customer obsession, strong qualification, and consistent execution.\n\n - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.\n\n - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.\n\n - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.\n\n - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.\n\n - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.\n\n - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.\n\n - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.\n\n - Recruit, onboard, and retain high-performing sales talent as the region grows.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.\n\n - Proven track record managing teams that sell complex technical products to enterprise customers.\n\n - Experience hiring, coaching, and developing high-performing Account Executives.\n\n - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.\n\n - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.\n\n - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.\n\n - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.\n\n - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.\n\n - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.\n\n\nNICE TO HAVE\n\n - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.\n\n - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.\n\n - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.\n\n - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.\n\n - Prior success selling into both digital-native and large enterprise accounts.\n\n - Experience working in a highly technical, product-led, or open-source-influenced sales environment.\n\n\nWHY JOIN US\n\nAI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.\n\nYou’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.\n\n\n\nCompensation: $350,000 - $400,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8b83f97a-12fb-42a6-9697-c3ef07646335","title":"Sales Development Representative ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-02-26T16:25:32.496+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8b83f97a-12fb-42a6-9697-c3ef07646335","applyUrl":"https://jobs.ashbyhq.com/langchain/8b83f97a-12fb-42a6-9697-c3ef07646335/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What you will do:
Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
Clear, confident communicator who can engage both technical and business audiences
Motivated by learning, iteration, and experimentation you treat outreach like a craft
Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation & Benefits
Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
On Target Earnings: $125,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.\n\nOur open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.\n\nLangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.\n\nAbout the role:\n\nWe’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.\n\nYou’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.\n\nWhat makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.\n\nWhat you will do:\n\n - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.\n\n - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.\n\n - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.\n\n - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.\n\n - Use LangChain powered agents to test, learn, and improve prospecting strategies\n\nHow to be successful in this role:\n\n - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)\n\n - Clear, confident communicator who can engage both technical and business audiences\n\n - Motivated by learning, iteration, and experimentation you treat outreach like a craft\n\n - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way\n\n - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate\n\n - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction\n\nCompensation & Benefits\n\n - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.\n\n - On Target Earnings: $125,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8b533cc4-6654-44b4-b3fc-004def2a9927","title":"Deployed Engineer (Dallas)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-08-03T14:43:42.106+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8b533cc4-6654-44b4-b3fc-004def2a9927","applyUrl":"https://jobs.ashbyhq.com/langchain/8b533cc4-6654-44b4-b3fc-004def2a9927/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 40% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $200,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 40% of the time\n\n\n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6eecbcda-d94f-4700-b8c7-ce54cb212290","title":"Deployed Engineer (Federal)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-08-24T17:25:07.499+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6eecbcda-d94f-4700-b8c7-ce54cb212290","applyUrl":"https://jobs.ashbyhq.com/langchain/6eecbcda-d94f-4700-b8c7-ce54cb212290/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.
This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.
As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.
You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.
You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.
Co-architect and co-build production AI agents with federal engineering teams and system integrators
Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations
Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)
Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows
Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions
Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences
Partner with security teams to navigate ATO processes and accreditation pathways
Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies
Occasionally contribute code upstream when it meaningfully improves federal customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers
Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators
Strong Python and JavaScript fundamentals, with deep systems thinking
Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling
Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)
Comfort operating in regulated environments with security, compliance, and documentation requirements
Experience supporting technical evaluations, architecture reviews, and competitive down-select processes
Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership
Ownership mindset — you take responsibility for mission outcomes, not just recommendations
Bias toward action and comfort operating in ambiguity
Excitement about running AI agents in real-world, production federal environments — not just building demos
Active or prior U.S. security clearance (Secret, TS/SCI)
Experience deploying AI systems in classified or air-gapped environments
Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)
Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings
Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures
Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)
Production experience with LangChain, LangGraph, or similar agent frameworks
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT US\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\n\nABOUT THE TEAM\n\nThe LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.\n\nThis is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nAs a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.\n\nYou’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.\n\nYou will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with federal engineering teams and system integrators\n\n - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations\n\n - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)\n\n - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows\n\n - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions\n\n - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences\n\n - Partner with security teams to navigate ATO processes and accreditation pathways\n\n - Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies\n\n - Occasionally contribute code upstream when it meaningfully improves federal customer outcomes\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers\n\n - Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators\n\n - Strong Python and JavaScript fundamentals, with deep systems thinking\n\n - Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling\n\n - Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)\n\n - Comfort operating in regulated environments with security, compliance, and documentation requirements\n\n - Experience supporting technical evaluations, architecture reviews, and competitive down-select processes\n\n - Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership\n\n - Ownership mindset — you take responsibility for mission outcomes, not just recommendations\n\n - Bias toward action and comfort operating in ambiguity\n\n - Excitement about running AI agents in real-world, production federal environments — not just building demos\n\n\nNICE TO HAVE\n\n - Active or prior U.S. security clearance (Secret, TS/SCI)\n\n - Experience deploying AI systems in classified or air-gapped environments\n\n - Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)\n\n - Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings\n\n - Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures\n\n - Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)\n\n - Production experience with LangChain, LangGraph, or similar agent frameworks\n\n\nCOMPENSATION & BENEFITS\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d81ac364-7b1c-48d2-a8b7-4bc7336c6be5","title":"Commercial Sales Director ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-30T22:28:19.714+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d81ac364-7b1c-48d2-a8b7-4bc7336c6be5","applyUrl":"https://jobs.ashbyhq.com/langchain/d81ac364-7b1c-48d2-a8b7-4bc7336c6be5/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Location: Hiring in San Francisco
We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.
If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.
Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts
Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay
Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution
Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging
Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions
Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships
Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)
Spot market opportunities early and move on them immediately.
7+ years of quota-carrying SaaS sales experience, with at least 2 years managing a team
Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment.
Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust
Experience selling platforms, professional services, and broader organizational transformations, including work with SIs
Clear, direct communicator. Equally effective with a technical buyers and executives.
On Target Earnings -$300,000 to $350,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLocation: Hiring in San Francisco\n\nWe're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.\n\nIf you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts\n\n - Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay\n\n - Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution\n\n - Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging\n\n - Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions\n\n - Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships\n\n - Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)\n\n - Spot market opportunities early and move on them immediately.\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE\n\n - 7+ years of quota-carrying SaaS sales experience, with at least 2 years managing a team\n\n - Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment.\n\n - Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust\n\n - Experience selling platforms, professional services, and broader organizational transformations, including work with SIs\n\n - Clear, direct communicator. Equally effective with a technical buyers and executives.\n\nOn Target Earnings -$300,000 to $350,000 + Equity\n\n\n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"9ef63e88-b1ff-4e88-9bf8-20c01439b80a","title":"Enterprise Account Executive (Stockholm)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Sweden","secondaryLocations":[],"publishedAt":"2026-04-14T20:34:13.453+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Sweden"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/9ef63e88-b1ff-4e88-9bf8-20c01439b80a","applyUrl":"https://jobs.ashbyhq.com/langchain/9ef63e88-b1ff-4e88-9bf8-20c01439b80a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"fc868832-3865-4f4a-8222-33422a7d3d96","title":"Deployed Architect, Professional Services (Amsterdam)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Amsterdam","secondaryLocations":[],"publishedAt":"2026-08-27T22:21:33.067+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"","streetAddress":"Keizersgracht 555","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/fc868832-3865-4f4a-8222-33422a7d3d96","applyUrl":"https://jobs.ashbyhq.com/langchain/fc868832-3865-4f4a-8222-33422a7d3d96/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Based on location and experience
Location
Netherlands, Amsterdam
Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n \n \n\n\nWHAT YOU'LL BRING\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n\n\n\nCOMPENSATION \n\nBased on location and experience \n\nLocation\n\n - Netherlands, Amsterdam\n\n - Remote with up to 25% travel\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"34083fce-1e80-4595-9ce9-76387b735c70","title":"Deployed Engineer (Boston)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-06-04T22:44:34.916+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/34083fce-1e80-4595-9ce9-76387b735c70","applyUrl":"https://jobs.ashbyhq.com/langchain/34083fce-1e80-4595-9ce9-76387b735c70/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $165,000–$380,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $165,000–$380,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"faeb56fd-e7d6-47d6-babe-e35315969206","title":"Deployed Architect, Professional Services (London)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-27T22:20:46.361+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/faeb56fd-e7d6-47d6-babe-e35315969206","applyUrl":"https://jobs.ashbyhq.com/langchain/faeb56fd-e7d6-47d6-babe-e35315969206/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Based on experience and location
Location
UK, London
Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n \n \n\n\nWHAT YOU'LL BRING\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\n\n\n\nCOMPENSATION\n\nBased on experience and location\n\nLocation\n\n - UK, London\n\n - Remote with up to 25% travel\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"3e31c750-67f2-4d3d-ac29-48a2b57cf4bd","title":"Deployed Engineer (Atlanta)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[],"publishedAt":"2026-08-22T15:36:44.883+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3e31c750-67f2-4d3d-ac29-48a2b57cf4bd","applyUrl":"https://jobs.ashbyhq.com/langchain/3e31c750-67f2-4d3d-ac29-48a2b57cf4bd/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"461a1356-24fc-40f2-88d6-ce253f94eeb4","title":"Enterprise Account Executive (Boston)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-08-18T21:21:21.276+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/461a1356-24fc-40f2-88d6-ce253f94eeb4","applyUrl":"https://jobs.ashbyhq.com/langchain/461a1356-24fc-40f2-88d6-ce253f94eeb4/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Boston, MA
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nLocation:\n\n - Boston, MA\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - Annual OTE: $350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6f31aa85-23ce-4c6a-a395-363b7a659de1","title":"Enterprise Account Executive (Philadelphia)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Philadelphia, PA","secondaryLocations":[],"publishedAt":"2026-08-18T23:05:54.952+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"PA","addressCountry":"United States","addressLocality":"Philadelphia"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6f31aa85-23ce-4c6a-a395-363b7a659de1","applyUrl":"https://jobs.ashbyhq.com/langchain/6f31aa85-23ce-4c6a-a395-363b7a659de1/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
Philadelphia, PA
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\nLocation:\n\n - Philadelphia, PA\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - Annual OTE: $350,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f71210f9-12e1-4726-88b9-ebafa194d5b2","title":"Deployed Architect, Professional Services (NYC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-27T21:34:57.750+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2","applyUrl":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Location: New York City
Compensation: $170,000-$215,000 base salary + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\nLocation: New York City\n\nCompensation: $170,000-$215,000 base salary + equity \n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"da7cbabd-ceed-4d7d-ae25-f226cac0c1c1","title":"Deployed Architect, Professional Services (Austin)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Austin, TX","secondaryLocations":[],"publishedAt":"2026-08-27T21:35:30.849+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1","applyUrl":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Location: Austin, Texas
Compensation: $170,000-$215,000 base salary + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\nLocation: Austin, Texas\n\nCompensation: $170,000-$215,000 base salary + equity \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"933a41a3-43ca-44de-a0ae-f541149151b7","title":"Deployed Architect, Professional Services (Dallas)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[],"publishedAt":"2026-08-27T21:37:02.909+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7","applyUrl":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Location: Dallas, TX
Compensation: $170,000-$215,000 base salary + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\nLocation: Dallas, TX\n\nCompensation: $170,000-$215,000 base salary + equity \n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"38947013-3d0c-4257-aa58-ab8fe247ea3e","title":"Deployed Engineer (Chicago)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[],"publishedAt":"2026-08-05T23:14:24.155+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/38947013-3d0c-4257-aa58-ab8fe247ea3e","applyUrl":"https://jobs.ashbyhq.com/langchain/38947013-3d0c-4257-aa58-ab8fe247ea3e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
This will be a hybrid in office role in Chicago, IL.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 40% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $200,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\nThis will be a hybrid in office role in Chicago, IL.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 40% of the time\n\n\n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\nCOMPENSATION:\n\nAnnual OTE range: $200,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6dc92e79-0018-43a8-9319-64bf2302339f","title":"Sales Development Director (San Francisco)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-24T19:03:44.297+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6dc92e79-0018-43a8-9319-64bf2302339f","applyUrl":"https://jobs.ashbyhq.com/langchain/6dc92e79-0018-43a8-9319-64bf2302339f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a Sales Development Director to lead and scale our founding SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
Lead and coach a team of SDRs responsible for generating qualified pipeline
Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
Recruit top SDR talent and grow the team as LangChain continues to scale
Develop SDR talent through coaching, call reviews, and structured feedback
Build repeatable outbound and inbound qualification playbooks
Partner with marketing to convert inbound demand into qualified opportunities
Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
Implement systems and workflows that improve SDR productivity and effectiveness
Use data to continuously improve performance, analyzing conversion rates across the funnel
Have 5-10 years of experience in sales development
Have 3+ years managing SDRs or leading a sales development team
Are comfortable working with technical products and developer audiences
Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
Are highly data-driven and comfortable managing performance through metrics
Are passionate about coaching and developing early-career sales talent
Thrive in fast-moving environments where processes are still evolving
Have strong communication and organizational skills
Compensation
Annual salary range: $250,000-$315,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe’re hiring a Sales Development Director to lead and scale our founding SDR team at LangChain.\n\nOur SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.\n\nThis role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n - Lead and coach a team of SDRs responsible for generating qualified pipeline\n\n - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment\n\n - Recruit top SDR talent and grow the team as LangChain continues to scale\n\n - Develop SDR talent through coaching, call reviews, and structured feedback\n\n - Build repeatable outbound and inbound qualification playbooks\n\n - Partner with marketing to convert inbound demand into qualified opportunities\n\n - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals\n\n - Implement systems and workflows that improve SDR productivity and effectiveness\n\n - Use data to continuously improve performance, analyzing conversion rates across the funnel\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - Have 5-10 years of experience in sales development\n\n - Have 3+ years managing SDRs or leading a sales development team\n\n - Are comfortable working with technical products and developer audiences\n\n - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)\n\n - Are highly data-driven and comfortable managing performance through metrics\n\n - Are passionate about coaching and developing early-career sales talent\n\n - Thrive in fast-moving environments where processes are still evolving\n\n - Have strong communication and organizational skills\n\n\n\nCompensation\n\n - Annual salary range: $250,000-$315,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d7454c6d-7025-4e46-befc-e23bedd8f452","title":"Deployed Engineer (Charlotte)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Charlotte, NC","secondaryLocations":[],"publishedAt":"2026-04-14T20:48:28.828+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Charlotte "}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d7454c6d-7025-4e46-befc-e23bedd8f452","applyUrl":"https://jobs.ashbyhq.com/langchain/d7454c6d-7025-4e46-befc-e23bedd8f452/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"733417d6-7b74-4260-95d9-3cabf85ce0b8","title":"Deployed Engineer (Raleigh)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Raleigh, NC","secondaryLocations":[],"publishedAt":"2026-04-14T20:48:32.600+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Raleigh"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/733417d6-7b74-4260-95d9-3cabf85ce0b8","applyUrl":"https://jobs.ashbyhq.com/langchain/733417d6-7b74-4260-95d9-3cabf85ce0b8/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"a7a90682-b893-4296-9435-cc3de29f044f","title":"Regional Director, Enterprise Sales ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[],"publishedAt":"2026-08-11T22:52:55.998+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/a7a90682-b893-4296-9435-cc3de29f044f","applyUrl":"https://jobs.ashbyhq.com/langchain/a7a90682-b893-4296-9435-cc3de29f044f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.
As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.
This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.
Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.
Lead, coach, and develop a team of enterprise Account Executives.
Build a culture of accountability, customer obsession, strong qualification, and consistent execution.
Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.
Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.
Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.
Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.
Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.
Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.
Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.
Recruit, onboard, and retain high-performing sales talent as the region grows.
7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.
Proven track record managing teams that sell complex technical products to enterprise customers.
Experience hiring, coaching, and developing high-performing Account Executives.
Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.
Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.
Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.
Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.
Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.
High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.
Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.
Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.
Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.
Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.
Prior success selling into both digital-native and large enterprise accounts.
Experience working in a highly technical, product-led, or open-source-influenced sales environment.
AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.
You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.
Compensation: $350,000 - $400,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.\n\nAs Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.\n\nThis role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.\n\n \n\n\nWHAT YOU’LL DO\n\n - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.\n\n - Lead, coach, and develop a team of enterprise Account Executives.\n\n - Build a culture of accountability, customer obsession, strong qualification, and consistent execution.\n\n - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.\n\n - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.\n\n - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.\n\n - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.\n\n - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.\n\n - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.\n\n - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.\n\n - Recruit, onboard, and retain high-performing sales talent as the region grows.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.\n\n - Proven track record managing teams that sell complex technical products to enterprise customers.\n\n - Experience hiring, coaching, and developing high-performing Account Executives.\n\n - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.\n\n - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.\n\n - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.\n\n - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.\n\n - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.\n\n - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.\n\n\nNICE TO HAVE\n\n - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.\n\n - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.\n\n - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.\n\n - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.\n\n - Prior success selling into both digital-native and large enterprise accounts.\n\n - Experience working in a highly technical, product-led, or open-source-influenced sales environment.\n\n\nWHY JOIN US\n\nAI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.\n\nYou’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.\n\n \n\nCompensation: $350,000 - $400,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f4a7aa79-3e7f-4de1-8fda-16f161cc909d","title":"Regional Director, Enterprise Sales (DMV) ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-08-11T22:54:20.683+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f4a7aa79-3e7f-4de1-8fda-16f161cc909d","applyUrl":"https://jobs.ashbyhq.com/langchain/f4a7aa79-3e7f-4de1-8fda-16f161cc909d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.
As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.
This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.
Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.
Lead, coach, and develop a team of enterprise Account Executives.
Build a culture of accountability, customer obsession, strong qualification, and consistent execution.
Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.
Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.
Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.
Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.
Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.
Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.
Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.
Recruit, onboard, and retain high-performing sales talent as the region grows.
7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.
Proven track record managing teams that sell complex technical products to enterprise customers.
Experience hiring, coaching, and developing high-performing Account Executives.
Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.
Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.
Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.
Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.
Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.
High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.
Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.
Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.
Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.
Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.
Prior success selling into both digital-native and large enterprise accounts.
Experience working in a highly technical, product-led, or open-source-influenced sales environment.
AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.
You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.
Compensation: $350,000 - $400,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software.\n\nAs Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises.\n\nThis role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.\n\n \n\n\nWHAT YOU’LL DO\n\n - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution.\n\n - Lead, coach, and develop a team of enterprise Account Executives.\n\n - Build a culture of accountability, customer obsession, strong qualification, and consistent execution.\n\n - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes.\n\n - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions.\n\n - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing.\n\n - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders.\n\n - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities.\n\n - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region.\n\n - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization.\n\n - Recruit, onboard, and retain high-performing sales talent as the region grows.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams.\n\n - Proven track record managing teams that sell complex technical products to enterprise customers.\n\n - Experience hiring, coaching, and developing high-performing Account Executives.\n\n - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement.\n\n - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams.\n\n - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built.\n\n - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success.\n\n - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences.\n\n - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development.\n\n\nNICE TO HAVE\n\n - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products.\n\n - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development.\n\n - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion.\n\n - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies.\n\n - Prior success selling into both digital-native and large enterprise accounts.\n\n - Experience working in a highly technical, product-led, or open-source-influenced sales environment.\n\n\nWHY JOIN US\n\nAI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems.\n\nYou’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.\n\n \n\nCompensation: $350,000 - $400,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"e8020aeb-207f-4a4d-9df4-0cca5183e657","title":"Sales Development Director (NYC)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-24T19:03:51.036+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/e8020aeb-207f-4a4d-9df4-0cca5183e657","applyUrl":"https://jobs.ashbyhq.com/langchain/e8020aeb-207f-4a4d-9df4-0cca5183e657/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a Sales Development Director to lead and scale our founding SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
Lead and coach a team of SDRs responsible for generating qualified pipeline
Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
Recruit top SDR talent and grow the team as LangChain continues to scale
Develop SDR talent through coaching, call reviews, and structured feedback
Build repeatable outbound and inbound qualification playbooks
Partner with marketing to convert inbound demand into qualified opportunities
Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
Implement systems and workflows that improve SDR productivity and effectiveness
Use data to continuously improve performance, analyzing conversion rates across the funnel
Have 5-10 years of experience in sales development
Have 3+ years managing SDRs or leading a sales development team
Are comfortable working with technical products and developer audiences
Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
Are highly data-driven and comfortable managing performance through metrics
Are passionate about coaching and developing early-career sales talent
Thrive in fast-moving environments where processes are still evolving
Have strong communication and organizational skills
Compensation
Annual salary range: $250,000-$315,000 OTE + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe’re hiring a Sales Development Director to lead and scale our founding SDR team at LangChain.\n\nOur SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.\n\nThis role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.\n\n\n\n\nWHAT YOU'LL DO \n\n\n\n - Lead and coach a team of SDRs responsible for generating qualified pipeline\n\n - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment\n\n - Recruit top SDR talent and grow the team as LangChain continues to scale\n\n - Develop SDR talent through coaching, call reviews, and structured feedback\n\n - Build repeatable outbound and inbound qualification playbooks\n\n - Partner with marketing to convert inbound demand into qualified opportunities\n\n - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals\n\n - Implement systems and workflows that improve SDR productivity and effectiveness\n\n - Use data to continuously improve performance, analyzing conversion rates across the funnel\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - Have 5-10 years of experience in sales development\n\n - Have 3+ years managing SDRs or leading a sales development team\n\n - Are comfortable working with technical products and developer audiences\n\n - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)\n\n - Are highly data-driven and comfortable managing performance through metrics\n\n - Are passionate about coaching and developing early-career sales talent\n\n - Thrive in fast-moving environments where processes are still evolving\n\n - Have strong communication and organizational skills\n\n\n\nCompensation\n\n - Annual salary range: $250,000-$315,000 OTE + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6847e38f-ec98-4fb2-a2cb-a97cdd9be108","title":"Enterprise Account Executive (Federal) ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-05-06T03:07:58.007+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6847e38f-ec98-4fb2-a2cb-a97cdd9be108","applyUrl":"https://jobs.ashbyhq.com/langchain/6847e38f-ec98-4fb2-a2cb-a97cdd9be108/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape.
We're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you.
Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems
Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments
Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision
Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow
Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy
Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience
Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment
You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC)
You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually
You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles
You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers
You have established relationships across federal agencies and the system integrator ecosystem
Technical acumen with the ability to establish credibility with technical decision-makers at agencies
You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one
Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward
Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape
You exemplify our operating principles:
You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable
You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team
You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked
You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through
Active or prior U.S. security clearance (Secret, TS/SCI)
Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools
Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks
Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft)
Prior experience building a federal GTM motion at an early-stage or growth-stage company
Annual OTE range: $300,000 – $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems\n\n - Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments\n\n - Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision\n\n - Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow\n\n - Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy\n\n - Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring federal customer insights back to product and engineering teams to inform the roadmap and improve the user experience\n\n - Help define and iterate on our federal sales playbook — your input will help shape how we go to market in this segment\n \n \n\n\nWHAT YOU'LL BRING\n\n - You have 7+ years of experience selling complex software to enterprise or federal customers, with at least 3+ years focused on U.S. federal accounts (DoD, Civilian, and/or IC)\n\n - You have a proven track record of meeting or exceeding federal revenue targets — ideally $2M+ ARR annually\n\n - You have deep familiarity with federal procurement: GWACs, IDIQs, OTAs, BPAs, and direct agency contract vehicles\n\n - You can translate complex technical concepts — LLMs, RAG, agent frameworks, APIs — into mission-aligned value for both technical and non-technical government buyers\n\n - You have established relationships across federal agencies and the system integrator ecosystem\n\n - Technical acumen with the ability to establish credibility with technical decision-makers at agencies\n\n - You thrive in fast-paced start-up environments and are energized by impact — you want to help build the federal playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate procurement roadblocks and keep complex deals moving forward\n\n - Passionate about generative AI and excited to help federal customers navigate a rapidly evolving technology landscape\n\n - You exemplify our operating principles:\n \n - You are motivated to build something great: you hold a high bar for quality, craft, and impact in every customer interaction and internal deliverable\n \n - You embrace hot takes: you bring informed opinions about the federal AI market, challenge assumptions, and engage in constructive debate with your team\n \n - You operate with maximum agency: you take ownership of your territory, move deals forward independently, and help cross-functional partners stay unblocked\n \n - You run to the roar: you lean into the complexity of government procurement, long deal cycles, and ambiguous buying processes — and find a way through\n\n\nNICE TO HAVE\n\n - Active or prior U.S. security clearance (Secret, TS/SCI)\n\n - Familiarity with LangChain, LangGraph, LangSmith, or similar AI orchestration and observability tools\n\n - Experience with FedRAMP, DoD Impact Levels (IL2–IL6), or other federal compliance and authorization frameworks\n\n - Existing relationships with federal-focused system integrators and resellers (e.g., Booz Allen, SAIC, Leidos, Carahsoft)\n\n - Prior experience building a federal GTM motion at an early-stage or growth-stage company\n\n\nCOMPENSATION \n\nAnnual OTE range: $300,000 – $350,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"0a5dd30c-6da1-4095-bd96-b16f27eeb333","title":"Deployed Architect, Professional Services (Remote)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Los Angeles, CA","secondaryLocations":[{"location":"Salt Lake City, UT","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"Denver, CO","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-08-27T21:37:46.064+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333","applyUrl":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Location: Remote
Compensation: $170,000-$215,000 base salary + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\nLocation: Remote\n\nCompensation: $170,000-$215,000 base salary + equity \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"45773971-c904-41c4-b7af-1f3a661c49cc","title":"Account Manager, Renewals & Expansion (West Coast)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"San Diego, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Los Angeles, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}}}],"publishedAt":"2026-08-26T21:58:40.058+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/45773971-c904-41c4-b7af-1f3a661c49cc","applyUrl":"https://jobs.ashbyhq.com/langchain/45773971-c904-41c4-b7af-1f3a661c49cc/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
Experience managing renewals in a consumption or usage-based pricing model.
Location: US West Coast
Compensation:
$230K OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nWe’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.\n\n\n\n\nWHAT YOU'LL DO \n\n - Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.\n\n - Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.\n\n - Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.\n\n - Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.\n\n - Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.\n\n - Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.\n\n - Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.\n\n - Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.\n\n - A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).\n\n - Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.\n\n - Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.\n\n - Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.\n\n - A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.\n\n - Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.\n\n - Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.\n\n\n(PREFERRED)\n\n - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.\n\n - Experience managing renewals in a consumption or usage-based pricing model.\n \n \n\nLocation: US West Coast\n\nCompensation: \n\n - $230K OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"47ad420c-9302-4a4f-a35f-7dd29e1d9d28","title":"AI Engineer, Enablement ","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"Atlanta, GA","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}}},{"location":"Philadelphia, PA","address":{"postalAddress":{"addressRegion":"PA","addressCountry":"United States","addressLocality":"Philadelphia"}}},{"location":"Tampa, FL","address":{"postalAddress":{"addressRegion":"Florida","addressCountry":"United States","addressLocality":"Tampa"}}},{"location":"Nashville, TN","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"Washington DC","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}}},{"location":"Charlotte, NC","address":{"postalAddress":{"addressRegion":"NC","addressCountry":"United States","addressLocality":"Charlotte "}}}],"publishedAt":"2026-08-26T22:58:10.127+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/47ad420c-9302-4a4f-a35f-7dd29e1d9d28","applyUrl":"https://jobs.ashbyhq.com/langchain/47ad420c-9302-4a4f-a35f-7dd29e1d9d28/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Enablement team helps customers build real fluency with agent engineering and the LangSmith platform through live training, hands-on workshops, and technical content that scales beyond 1:1 time.
You'll set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem, teaching their teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor-led workshops, written content, and reference implementations. We work closely with the broader GTM org to make sure every customer has the skills and confidence to build independently.
You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient.
Design and deliver live, hands-on workshops that build real product fluency, not just familiarity
Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond individual sessions
Offer technical guidance or office hours as questions come up
Build internal agents and tools that streamline how the Enablement team operates, automating processes so the team scales efficiently
Act as the voice of the customer inside LangChain, feeding friction points back to Product and Engineering
Stay current on agent engineering practices and fold what you learn into what you teach
Technical:
3+ years building LLM/agent applications, with experience designing agent architectures and evaluation strategies
Strong Python, comfortable writing and debugging code live, in front of a customer
Customer-facing & Education:
2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops
A genuine excitement for teaching, the kind where you'd rather leave a customer more capable than impressed
Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders
Additional:
Comfortable operating independently in ambiguity and managing several customer engagements at once
Curiosity to stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials
Willing to travel up to 20% of the time
You've deployed AI agents in production, especially using LangChain, LangGraph, Deep Agents, or similar frameworks
Hands-on experience with LLM evaluation, observability, or guardrails
Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
TypeScript/JavaScript in addition to Python
Compensation:
$150-$195k + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Enablement team helps customers build real fluency with agent engineering and the LangSmith platform through live training, hands-on workshops, and technical content that scales beyond 1:1 time.\n\n\n\n\nABOUT THE ROLE\n\nYou'll set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem, teaching their teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor-led workshops, written content, and reference implementations. We work closely with the broader GTM org to make sure every customer has the skills and confidence to build independently.\n\nYou are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and deliver live, hands-on workshops that build real product fluency, not just familiarity\n\n - Create enablement assets (tutorials, reference implementations, best-practice guides) that scale beyond individual sessions\n\n - Offer technical guidance or office hours as questions come up\n\n - Build internal agents and tools that streamline how the Enablement team operates, automating processes so the team scales efficiently\n\n - Act as the voice of the customer inside LangChain, feeding friction points back to Product and Engineering\n\n - Stay current on agent engineering practices and fold what you learn into what you teach\n \n \n\n\nWHAT YOU'LL BRING\n\nTechnical:\n\n - 3+ years building LLM/agent applications, with experience designing agent architectures and evaluation strategies\n\n - Strong Python, comfortable writing and debugging code live, in front of a customer\n\nCustomer-facing & Education:\n\n - 2+ years in a technical, customer-facing role (Enablement, Customer Success Engineering, Solutions Engineering, or similar), including experience designing and delivering live workshops\n\n - A genuine excitement for teaching, the kind where you'd rather leave a customer more capable than impressed\n\n - Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides\n\n - Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders\n\nAdditional:\n\n - Comfortable operating independently in ambiguity and managing several customer engagements at once\n\n - Curiosity to stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials\n\n - Willing to travel up to 20% of the time\n\n\nNICE TO HAVE\n\n - You've deployed AI agents in production, especially using LangChain, LangGraph, Deep Agents, or similar frameworks\n\n - Hands-on experience with LLM evaluation, observability, or guardrails\n\n - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - TypeScript/JavaScript in addition to Python\n\nCompensation: \n\n - $150-$195k + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"1683a053-1bca-4a54-9889-bc32259df4e1","title":"EMEA Deal Strategy & Operations Manager","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-04-24T22:36:49.299+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/1683a053-1bca-4a54-9889-bc32259df4e1","applyUrl":"https://jobs.ashbyhq.com/langchain/1683a053-1bca-4a54-9889-bc32259df4e1/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deal Strategy & Operations Manager to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong analytical skills, attention to detail, and the ability to balance business flexibility with financial discipline. This is an excellent opportunity to gain exposure to the full revenue lifecycle while directly impacting our ability to close deals quickly.
This is a hybrid position.
Own the deal strategy across our EMEA sales team
Quarterback non-standard deals through the contracting cycle & internal approval processes in collaboration with the appropriate cross-functional teams (Sales Leadership, Legal, Accounting, Billing, Product, etc.) to ensure that all deals align with business strategies and guidelines
Master and help evolve deal policies, including contract terms, pricing & packaging, contractual requirements, etc.
Partner with Account Executives on forming deals, and help translate deal structures to Order Forms for complex deals in partnership with Commercial Legal
Create operational processes, process documentation, and enable Sales Teams on best practices, tools, and workflows to ensure effective deal execution
Monitor and ensure that internal requests are addressed thoughtfully and with urgency
8+ years of experience in Deal Operations or Deal Desk
A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (Sales, RevOps, Legal, Finance, etc.) to achieve common goals
Experience operating across EMEA markets, including fluency with multi-currency workflows, regional compliance considerations, and the varying enterprise sales cycles and procurement norms across EMEA geographies.
Experience working with consumption-based or usage-based pricing models, including structuring deals, managing overage conversations, and ensuring accurate configuration and compliance within CPQ and order form workflows.
Detail-oriented, excellent written and verbal communication skills with the ability to identify areas of improvement and propose necessary changes
Strong analytical skills, with a focus on data-driven decision-making to equip the business in a strategic manner and communicate big picture opportunities
Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment
You are skilled at prioritization, effectively balancing urgent support requests with long-term project work.
Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
Annual salary range: 105,000-120,000 GBP
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nWe're looking for a Deal Strategy & Operations Manager to join our growing Deal Strategy & Operations team. This role serves as a critical partner to our EMEA sales organization, enabling efficient deal execution while maintaining pricing integrity and revenue quality. In this role, you'll review and structure non-standard SaaS contracts, evaluate pricing requests, and collaborate cross-functionally with Sales, Finance, and Legal to expedite deal approvals. You'll be responsible for ensuring all deals are accurately configured in our CPQ system, comply with revenue recognition standards, and align with company policies. The ideal candidate brings strong analytical skills, attention to detail, and the ability to balance business flexibility with financial discipline. This is an excellent opportunity to gain exposure to the full revenue lifecycle while directly impacting our ability to close deals quickly.\n\nThis is a hybrid position. \n\n\n\n\nWHAT YOU’LL DO:\n\n - Own the deal strategy across our EMEA sales team\n\n - Quarterback non-standard deals through the contracting cycle & internal approval processes in collaboration with the appropriate cross-functional teams (Sales Leadership, Legal, Accounting, Billing, Product, etc.) to ensure that all deals align with business strategies and guidelines\n\n - Master and help evolve deal policies, including contract terms, pricing & packaging, contractual requirements, etc.\n\n - Partner with Account Executives on forming deals, and help translate deal structures to Order Forms for complex deals in partnership with Commercial Legal\n\n - Create operational processes, process documentation, and enable Sales Teams on best practices, tools, and workflows to ensure effective deal execution\n\n - Monitor and ensure that internal requests are addressed thoughtfully and with urgency\n\n\nHOW TO BE SUCCESSFUL IN THIS ROLE:\n\n - 8+ years of experience in Deal Operations or Deal Desk\n\n - A “roll up your sleeves” mentality, and an ability to collaborate effectively across internal functions (Sales, RevOps, Legal, Finance, etc.) to achieve common goals\n\n - Experience operating across EMEA markets, including fluency with multi-currency workflows, regional compliance considerations, and the varying enterprise sales cycles and procurement norms across EMEA geographies.\n\n - Experience working with consumption-based or usage-based pricing models, including structuring deals, managing overage conversations, and ensuring accurate configuration and compliance within CPQ and order form workflows.\n\n - Detail-oriented, excellent written and verbal communication skills with the ability to identify areas of improvement and propose necessary changes\n\n - Strong analytical skills, with a focus on data-driven decision-making to equip the business in a strategic manner and communicate big picture opportunities\n\n - Ability to work well under pressure, with a high degree of adaptability and flexibility in a fast paced, rapidly changing environment\n\n - You are skilled at prioritization, effectively balancing urgent support requests with long-term project work.\n\n - Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.\n\nAnnual salary range: 105,000-120,000 GBP\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d81c35c1-7243-45e4-bfe2-7fc8746c76b9","title":"Software Engineering Manager, Database (SmithDB)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-30T00:56:27.693+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d81c35c1-7243-45e4-bfe2-7fc8746c76b9","applyUrl":"https://jobs.ashbyhq.com/langchain/d81c35c1-7243-45e4-bfe2-7fc8746c76b9/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the team
SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.
About the role
We're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.
What you'll do
Write and review production Rust code across ingestion, query execution, and storage layers
Lead architectural decisions on storage format, compaction, indexing, and query planning
Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix
Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)
Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight
Build and maintain observability for the engine itself: metrics, tracing, debug tooling
Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers
Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership
Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates
What you'll bring
7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role
Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale
Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction
Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)
Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment
Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)
Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge
Nice-to-have:
Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores
Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)
Experience scaling a system from early-stage to hundreds of billions / trillions of records
Compensation
Salary Range: $240,000-$300,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the team\n\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\n\n \n\nAbout the role\n\nWe're looking for a hands-on Engineering Manager to lead the SmithDB team. This is not a pure people-management role. You'll write production code, review PRs at the systems level, make architectural calls, and be in the weeds alongside your engineers. At the same time, you'll own team health, hiring, technical roadmap, and coordination with the broader LangSmith platform. The ideal candidate has deep systems or database engineering experience and genuinely prefers to stay technical while growing a team.\n\n \n\nWhat you'll do\n\n - Write and review production Rust code across ingestion, query execution, and storage layers\n\n - Lead architectural decisions on storage format, compaction, indexing, and query planning\n\n - Drive performance investigations using memory and CPU profiling tools; own the path from profiling to shipped fix\n\n - Design and harden the distributed deployment of SmithDB services on Kubernetes (multi-tenant, high-throughput, low-latency)\n\n - Contribute to cloud object store integrations (S3, GCS, Azure Blob) and set the standard for how SmithDB manages data at rest and in flight\n\n - Build and maintain observability for the engine itself: metrics, tracing, debug tooling\n\n - Manage a small but growing team of systems engineers: set goals, run 1:1s, provide technical mentorship, and grow careers\n\n - Own the SmithDB technical roadmap in partnership with LangSmith product and engineering leadership\n\n - Communicate progress, risks, and tradeoffs clearly to the broader organization: you write concise, decision-ready updates\n\n \n\nWhat you'll bring\n\n - 7+ years in systems or database engineering, with at least 2 years in a technical lead or engineering management role\n\n - Production Rust experience — you can write it, review it, and have opinions on how to structure it at scale\n\n - Deep understanding of database or storage engine internals: query execution, storage layouts, indexing, compaction\n\n - Proficiency in systems performance analysis: memory allocators, CPU hotspots, lock contention, async runtimes (Tokio)\n\n - Experience deploying and operating distributed services on Kubernetes in a production, multi-tenant environment\n\n - Familiarity with cloud object storage (S3-compatible APIs, consistency models, cost/performance tradeoffs)\n\n - Proven track record of managing engineers — you can recruit, retain, and level-up a team without losing your technical edge\n \n \n\nNice-to-have:\n\n - Experience building or contributing to columnar storage formats (Parquet, Arrow), OLAP query engines, or time-series stores\n\n - Background in observability infrastructure or tracing pipelines (OpenTelemetry, ClickHouse, Prometheus)\n\n - Experience scaling a system from early-stage to hundreds of billions / trillions of records\n\n \n\nCompensation\n\nSalary Range: $240,000-$300,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"825b6d91-bc5e-4165-8a7c-2022a2248f7e","title":"GTM Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-04-29T19:21:59.660+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/825b6d91-bc5e-4165-8a7c-2022a2248f7e","applyUrl":"https://jobs.ashbyhq.com/langchain/825b6d91-bc5e-4165-8a7c-2022a2248f7e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.
Nice to Haves:
Expertise with LangSmith for evaluation and monitoring.
Experience building or maintaining open-source projects.
A background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation:
We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary: $160K - $180K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the \"First Customer,\" building the AI-native systems that power our technical support, onboarding, and customer success engines.\n\nYou will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.\n\n\n\n\nYOU WILL:\n\n - Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.\n\n - Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.\n\n - Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.\n\n - Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.\n\n - Build Onboarding Workflows: Develop \"AI-native onboarding\" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.\n\n\nWHAT WE ARE LOOKING FOR:\n\n - AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.\n\n - Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.\n\n - Self-Directed \"Founder\" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.\n\n - Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.\n\n - Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.\n\nNice to Haves:\n\n - Expertise with LangSmith for evaluation and monitoring.\n\n - Experience building or maintaining open-source projects.\n\n - A background in technical consulting, solutions engineering, or high-growth GTM teams.\n\nCompensation:\n\n - We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.\n\n - Salary: $160K - $180K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"bdc96ffd-2a95-4d63-bf8f-193574961e00","title":"Research Engineer, LangSmith Engine","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-08-14T17:40:43.334+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/bdc96ffd-2a95-4d63-bf8f-193574961e00","applyUrl":"https://jobs.ashbyhq.com/langchain/bdc96ffd-2a95-4d63-bf8f-193574961e00/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents.
We’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient.
You’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent.
This role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments.
Location: SF and NYC
Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks.
Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies.
Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost.
Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions.
Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership.
4+ years of experience in ML/AI research, or a closely related field.
Master’s or Ph.D. in a relevant scientific field.
Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance
Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better.
Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact.
You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly.
Ph.D. in Machine Learning, Computer Science or Physics.
Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation.
Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs.
Experience optimizing LLM agents for cost, latency, or task efficiency on productions
Experience with model serving, inference optimization, distributed systems, or GPU infrastructure.
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM:\n\nThe LangSmith Engine team is building a proactive agent engineer that analyzes production traces, identifies important failures, recommends and writes fixes, and helps prevent those issues from coming back. We’re building agents that can understand complex software systems and continuously improve the quality of other AI agents.\n\n\n\n\nABOUT THE ROLE:\n\nWe’re looking for an experienced research engineer to help make the Engine agent more capable and more efficient.\n\n\n\nYou’ll study real agent failures, build benchmarks that capture what matters, run experiments to improve performance, and turn successful ideas into production. This may include prompting and agent-harness improvements, model selection, fine-tuning and post-training custom models. The focus is on measurable improvements to the overall agent.\n\n\n\nThis role also requires a understanding of production engineering and system-level tradeoffs. Engine is a production system, so improving an agent is not just about maximizing benchmark performance—it also means understanding the impact on cost, latency, reliability, and scalability. You’ll work in the same team with production engineers to design, test, and ship improvements that work reliably in real-world environments.\n\nLocation: SF and NYC\n\n\n\n\nWHAT YOU’LL DO:\n\n - Build and maintain benchmarks and evaluations that measure the quality and efficiency of Engine agents on real-world tasks.\n\n - Design and run experiments to improve agent performance across models, prompting, context, tools, orchestration, and agent strategies.\n\n - Explore and implement post-training and fine-tuning techniques when they can meaningfully improve agent capabilities, quality, or cost.\n\n - Turn successful experiments into production improvements, working closely with engineers and researchers to measure impact and prevent regressions.\n\n - Help define the ML roadmap and technical direction for improving Engine agents, and mentor other engineers through strong technical leadership.\n\n\n\n\nWHAT YOU’LL BRING:\n\n - 4+ years of experience in ML/AI research, or a closely related field.\n\n - Master’s or Ph.D. in a relevant scientific field.\n\n - Hands-on experience working with LLMs and AI agents, including analyzing model behavior and improving real-world performance\n\n - Strong experience designing benchmarks, evaluations, and experiments for AI/ML systems; you know how to tell whether a change actually made an agent better.\n\n - Strong software engineering skills, with a track record of taking ideas from research prototype to measurable production impact.\n\n - You have maximum agency and strong research judgment: you can identify high-impact problems, work through ambiguity, move quickly, and communicate your findings clearly.\n\n\n\n\nNICE TO HAVE:\n\n - Ph.D. in Machine Learning, Computer Science or Physics.\n\n - Hands on experience with LLM-as-a-judge, automated graders, synthetic data generation, or human evaluation.\n\n - Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs.\n\n - Experience optimizing LLM agents for cost, latency, or task efficiency on productions\n\n - Experience with model serving, inference optimization, distributed systems, or GPU infrastructure.\n \n \n\n\nCOMPENSATION & BENEFITS\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"df3a645d-5c08-4ea2-8823-7e40a5cbf9a6","title":"Enterprise Account Executive, South EMEA (UK)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-05-07T20:00:56.214+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/df3a645d-5c08-4ea2-8823-7e40a5cbf9a6","applyUrl":"https://jobs.ashbyhq.com/langchain/df3a645d-5c08-4ea2-8823-7e40a5cbf9a6/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
UK
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
Native French Speaker
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\nLocation:\n\n - UK\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n - Native French Speaker\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"60d3bd4f-e80f-45fb-9801-725d8b681d54","title":"Deployed Engineer (Seattle)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Seattle, WA","secondaryLocations":[],"publishedAt":"2026-06-04T22:45:21.880+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/60d3bd4f-e80f-45fb-9801-725d8b681d54","applyUrl":"https://jobs.ashbyhq.com/langchain/60d3bd4f-e80f-45fb-9801-725d8b681d54/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $165,000–$380,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\n\n\nWHAT YOU’LL BRING\n\n - 5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION \n\nAnnual OTE range: $165,000–$380,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"068b2e23-af01-42c7-9bce-d86976ea4d6e","title":"Senior Software Engineer, Database (SmithDB)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-13T17:16:28.472+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/068b2e23-af01-42c7-9bce-d86976ea4d6e","applyUrl":"https://jobs.ashbyhq.com/langchain/068b2e23-af01-42c7-9bce-d86976ea4d6e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the team
SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.
About the role
We're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production system but there is still lots to build and optimize. You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces. This role is based in San Francisco.
What you'll do
Engineer performant Rust code for ingestion and query execution
Optimize for cost and speed, heavily utilizing memory and CPU profiling
Integrate tightly with cloud object stores (S3/GCS/Azure Blob)
Deploy our distributed database services on Kubernetes (multi-tenant, high throughput, low latency)
Contribute to observability for the storage engine itself (metrics, tracing, debug tooling)
What you'll bring
5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++). Rust strongly preferred, as it is the language we use.
Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction
Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes.
Familiarity with similar query execution engines is a plus
Experience with Kubernetes, distributed systems, and cloud object storage is a plus.
Strong fundamentals in networking, OS concepts, and systems debugging.
Compensation
Salary Range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the team\n\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\n\n\n\nAbout the role\n\nWe're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production system but there is still lots to build and optimize. You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces. This role is based in San Francisco.\n\n \n\nWhat you'll do\n\n - Engineer performant Rust code for ingestion and query execution\n\n - Optimize for cost and speed, heavily utilizing memory and CPU profiling\n\n - Integrate tightly with cloud object stores (S3/GCS/Azure Blob)\n\n - Deploy our distributed database services on Kubernetes (multi-tenant, high throughput, low latency)\n\n - Contribute to observability for the storage engine itself (metrics, tracing, debug tooling)\n\n \n\nWhat you'll bring\n\n - 5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++). Rust strongly preferred, as it is the language we use.\n\n - Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction\n\n - Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes.\n\n - Familiarity with similar query execution engines is a plus\n\n - Experience with Kubernetes, distributed systems, and cloud object storage is a plus.\n\n - Strong fundamentals in networking, OS concepts, and systems debugging.\n\n \n\nCompensation\n\nSalary Range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93","title":"Principal Software Engineer, AI Observability & Evals Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Boston, MA","secondaryLocations":[],"publishedAt":"2026-05-13T22:53:01.826+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93","applyUrl":"https://jobs.ashbyhq.com/langchain/d3f8de08-2e2b-4c3f-be1f-e63ca51f1d93/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done.
We're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.
Location: This role can be based in our Boston, San Francisco, or NYC office.
Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale
Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences
Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data
Help shape the product roadmap by partnering closely with product and design — not just executing on it
Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on
Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance
Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines
Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes
Ensure system reliability through strong testing, monitoring, and alerting practices
Create and maintain technical documentation, including system design docs and API references
10+ years of professional experience in backend or fullstack engineering on highly complex, production systems
Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)
Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability
Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability
Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale
Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase
Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership
Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads
You exemplify our operating principles
Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)
Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure
Salary Range: $230,000 - $270,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, they own this end-to-end. If you want to help define what great AI observability looks like at production scale, this is where that work gets done.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Principal/Lead level Software Engineer to join the LangSmith team and help drive the technical direction of the platform. You'll build across the full stack from backend services and APIs to frontend product surfaces, and you'll play a central role in shaping how we build: setting engineering standards, mentoring engineers across the team, and making architectural decisions that hold up as we scale. If you're energized by both hands-on engineering and the multiplier effect of leveling up those around you, this role is built for that.\n\nLocation: This role can be based in our Boston, San Francisco, or NYC office. \n\n\n\n\n\n\nWHAT YOU'LL DO\n\n\n\n\nDRIVE TECHNICAL DIRECTION\n\n - Lead architectural decisions across our Go, Python, and TypeScript stack, ensuring systems are performant, maintainable, and built to scale\n\n - Work across the full stack, owning features end-to-end from backend services and APIs through to frontend product experiences\n\n - Drive tracing, monitoring, and evaluation workflows at scale, with a focus on reliability and query performance across high-volume data\n\n - Help shape the product roadmap by partnering closely with product and design — not just executing on it\n\n\nRAISE THE BAR FOR THE TEAM\n\n - Set engineering standards for the team: define patterns, lead code reviews, and establish the foundations others build on\n\n - Mentor and grow engineers at all levels through code review, design feedback, pairing, and ongoing technical guidance\n\n - Drive projects from ambiguity to delivery while maintaining high engineering standards and aggressive timelines\n\n\nOWN RELIABILITY AND QUALITY\n\n - Troubleshoot and resolve production issues with a root-cause mindset, and implement durable fixes\n\n - Ensure system reliability through strong testing, monitoring, and alerting practices\n\n - Create and maintain technical documentation, including system design docs and API references\n \n \n\n\nWHAT YOU'LL BRING\n\n\n\n\n - 10+ years of professional experience in backend or fullstack engineering on highly complex, production systems\n\n - Strong programming skills across multiple parts of the stack: backend (Python and/or Go) and frontend (TypeScript, React, or similar)\n\n - Demonstrated experience making and owning architectural decisions, including tradeoffs around data systems, APIs, and service reliability\n\n - Experience with high-throughput or mission-critical systems, and a proven ability to optimize for performance and reliability\n\n - Depth in operationalizing technical work — you've taken systems from prototype to production and kept them running well at scale\n\n - Demonstrated track record of mentoring engineers and raising the technical quality of a team, not just the codebase\n\n - Strong communication skills and comfort operating cross-functionally with product, design, and engineering leadership\n\n - Customer centricity and an ownership mentality — you care how the product lands, not just how the code reads\n\n - You exemplify our operating principles https://www.langchain.com/careers\n\n\n\n\nNICE TO HAVE\n\n - Experience with database systems (Postgres, Redis, ClickHouse) and cloud platforms (AWS, GCP, or Azure)\n\n - Familiarity with observability tooling, evaluation frameworks, or AI/LLM infrastructure\n \n \n\nSalary Range: $230,000 - $270,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"b47dbcea-222c-427d-bf4d-9e30a6b60d4a","title":"Sales Engineer (Bay Area)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-14T17:39:12.696+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/b47dbcea-222c-427d-bf4d-9e30a6b60d4a","applyUrl":"https://jobs.ashbyhq.com/langchain/b47dbcea-222c-427d-bf4d-9e30a6b60d4a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $185,000–$315,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\n\n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nSales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n \n\n\n\n\nABOUT THE ROLE\n\n\n\nYou'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n\n\n\nWHAT YOU’LL BRING\n\n - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S:\n\n\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $185,000–$315,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"49e5ee0c-7293-4ce6-80fc-70199e4172f8","title":"Enterprise Account Executive (SoCal)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Los Angeles, CA","secondaryLocations":[],"publishedAt":"2026-05-17T01:56:51.414+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Los Angeles"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/49e5ee0c-7293-4ce6-80fc-70199e4172f8","applyUrl":"https://jobs.ashbyhq.com/langchain/49e5ee0c-7293-4ce6-80fc-70199e4172f8/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350K OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350K OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"9a0ae8b4-af0c-4551-b9cd-284fe67e1935","title":"Software Engineer, Database Infrastructure","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-19T20:32:57.562+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/9a0ae8b4-af0c-4551-b9cd-284fe67e1935","applyUrl":"https://jobs.ashbyhq.com/langchain/9a0ae8b4-af0c-4551-b9cd-284fe67e1935/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the team
SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.
About the role
We're building a database specifically designed for AI observability and evaluation, and we need someone to own the infrastructure layer that keeps it running reliably at scale. As a Database Infra Engineer on the SmithDB team, you won't be designing the storage engine — you'll be making sure the engine never goes down, scales seamlessly as our customer base grows, and is operationally excellent across cloud environments.
What you'll do
Own the deployment and operations of SmithDB across cloud environments — including cluster lifecycle management, blue/green and rolling upgrades, and automated failover
Build and maintain the infrastructure tooling (Terraform, Kubernetes, Helm, or equivalent) that provisions, configures, and scales SmithDB nodes
Own the Kubernetes infrastructure that runs our distributed database services (multi-tenant, high throughput, low latency)
Build and improve deployment pipelines, rollout strategies, and infrastructure-as-code for the storage layer
Drive reliability engineering efforts: incident response, postmortems, SLOs, and disaster recovery for a system operating at massive scale
Manage capacity planning and cost efficiency — model growth, rightsize resources, and ensure SmithDB can absorb traffic spikes from our largest customers without manual intervention
Build the CI/CD pipeline for database infrastructure changes — safe, tested, and fast promotion from dev through staging to production
Collaborate closely with SmithDB internals engineers to translate new engine features into production-ready infrastructure changes and ensure safe, low-risk rollouts
What you'll bring
5+ years of experience in infrastructure, platform engineering, or SRE with hands-on
Strong hands-on experience with Kubernetes and cloud infrastructure (AWS/GCP/Azure)
Solid scripting/systems programming ability (Go, Python, or similar);
Experience with infrastructure-as-code and CI/CD tooling (Terraform, Helm, ArgoCD, or similar)
Deep familiarity with at least one major cloud provider (AWS, GCP, or Azure) and the primitives used to run stateful workloads reliably — persistent volumes, managed node groups, cloud storage, etc.
Infrastructure-as-code fluency — you write Terraform (or Pulumi/CDK) as your primary language, not an afterthought
Strong operational instincts — you've been on-call for high-traffic data systems, you know how to triage under pressure, and you write runbooks that actually get used
Experience with container orchestration (Kubernetes) and deploying stateful workloads in production
A bias for automation — if you've done something manual twice, you're already thinking about how to make it never happen again
Strong written and oral communication skills, with the ability to translate infrastructure health into language product and business stakeholders understand
The DNA to thrive in a fast-moving, high-autonomy environment — you see gaps as opportunities and own them end to end
Nice to Have
Ownership of production database systems (Postgres, ClickHouse, Redis, or similar)
Comfort reading and reasoning about Rust is a plus, as it's the language our database is written in
Understanding of database reliability concepts — replication, backups, point-in-time recovery, connection pooling, and graceful degradation under load
Compensation
Salary Range: $180,000-$230,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the team\n\nSmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals.\n\n \n\nAbout the role\n\nWe're building a database specifically designed for AI observability and evaluation, and we need someone to own the infrastructure layer that keeps it running reliably at scale. As a Database Infra Engineer on the SmithDB team, you won't be designing the storage engine — you'll be making sure the engine never goes down, scales seamlessly as our customer base grows, and is operationally excellent across cloud environments.\n\n \n\nWhat you'll do\n\n - Own the deployment and operations of SmithDB across cloud environments — including cluster lifecycle management, blue/green and rolling upgrades, and automated failover\n\n - Build and maintain the infrastructure tooling (Terraform, Kubernetes, Helm, or equivalent) that provisions, configures, and scales SmithDB nodes\n\n - Own the Kubernetes infrastructure that runs our distributed database services (multi-tenant, high throughput, low latency)\n\n - Build and improve deployment pipelines, rollout strategies, and infrastructure-as-code for the storage layer\n\n - Drive reliability engineering efforts: incident response, postmortems, SLOs, and disaster recovery for a system operating at massive scale\n\n - Manage capacity planning and cost efficiency — model growth, rightsize resources, and ensure SmithDB can absorb traffic spikes from our largest customers without manual intervention\n\n - Build the CI/CD pipeline for database infrastructure changes — safe, tested, and fast promotion from dev through staging to production\n\n - Collaborate closely with SmithDB internals engineers to translate new engine features into production-ready infrastructure changes and ensure safe, low-risk rollouts\n \n \n\nWhat you'll bring\n\n - 5+ years of experience in infrastructure, platform engineering, or SRE with hands-on \n\n - Strong hands-on experience with Kubernetes and cloud infrastructure (AWS/GCP/Azure)\n\n - Solid scripting/systems programming ability (Go, Python, or similar); \n\n - Experience with infrastructure-as-code and CI/CD tooling (Terraform, Helm, ArgoCD, or similar)\n\n - Deep familiarity with at least one major cloud provider (AWS, GCP, or Azure) and the primitives used to run stateful workloads reliably — persistent volumes, managed node groups, cloud storage, etc.\n\n - Infrastructure-as-code fluency — you write Terraform (or Pulumi/CDK) as your primary language, not an afterthought\n\n - Strong operational instincts — you've been on-call for high-traffic data systems, you know how to triage under pressure, and you write runbooks that actually get used\n\n - Experience with container orchestration (Kubernetes) and deploying stateful workloads in production\n\n - A bias for automation — if you've done something manual twice, you're already thinking about how to make it never happen again\n\n - Strong written and oral communication skills, with the ability to translate infrastructure health into language product and business stakeholders understand\n\n - The DNA to thrive in a fast-moving, high-autonomy environment — you see gaps as opportunities and own them end to end\n\nNice to Have\n\n - Ownership of production database systems (Postgres, ClickHouse, Redis, or similar)\n\n - Comfort reading and reasoning about Rust is a plus, as it's the language our database is written in\n\n - Understanding of database reliability concepts — replication, backups, point-in-time recovery, connection pooling, and graceful degradation under load\n\n\n\nCompensation\n\nSalary Range: $180,000-$230,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"2b151a4e-f3a4-41fc-95f7-4e802906f2cb","title":"Head of Narratives","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-04T23:57:03.019+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/2b151a4e-f3a4-41fc-95f7-4e802906f2cb","applyUrl":"https://jobs.ashbyhq.com/langchain/2b151a4e-f3a4-41fc-95f7-4e802906f2cb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land.
We're looking for a Head of Narratives to own how LangChain shows up in the world across communications, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great narratives in front of the right people at the right time.
You'll lead an existing team of rockstars across brand, social, and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us.
This is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there.
Communications
Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for and translate that into a rolling communications strategy the whole team is working from. This is the backbone of everything else.
Own press and media relations. Kickstart our comms efforts, building and managing relationships with key journalists and outlets, drive proactive press coverage, and act as the point of contact for inbound media inquiries.
Shape executive visibility and thought leadership. Identify the moments, platforms, and formats where LangChain's leaders should have a voice, and help them show up with a clear, consistent point of view.
Lead announcement strategy. Plan and execute communications around major launches, funding, partnerships, and company milestones, working cross-functionally to make sure the story lands with the right audiences at the right time.
Set and uphold the communications standard. Define LangChain's voice in the outside world and the quality bar for anything that goes out under its name.
Brand
Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately.
Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction.
Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa.
Social & Rich Media
Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving.
Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time.
Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, comms, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down.
Brand Design
Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, comms, social, and brand moments.
Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work.
Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too.
Team Leadership
Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example.
Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, comms, and design operate as a unit.
Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift.
Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on narrative engine and keep it running at a high standard.
Player-coach. You've led creative, comms, or content teams and know how to develop people — but you stay close to the work and make it better by being in it.
Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across comms, brand, social, and design.
Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes.
Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar.
Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own.
Nice to Have
Experience leading narrative, brand, or comms teams at a developer-focused company
Background in technical or developer marketing
Familiarity with the AI/ML ecosystem and the tools developers use to build
Track record running brand campaigns, including out-of-home or awareness programs
Salary Range: $200K-$240K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\nLangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land.\n\nWe're looking for a Head of Narratives to own how LangChain shows up in the world across communications, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great narratives in front of the right people at the right time.\n\nYou'll lead an existing team of rockstars across brand, social, and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us.\n\nThis is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there.\n\n \n\n\nWHAT YOU'LL DO:\n\n\n\nCommunications\n\n - Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for and translate that into a rolling communications strategy the whole team is working from. This is the backbone of everything else.\n\n - Own press and media relations. Kickstart our comms efforts, building and managing relationships with key journalists and outlets, drive proactive press coverage, and act as the point of contact for inbound media inquiries.\n\n - Shape executive visibility and thought leadership. Identify the moments, platforms, and formats where LangChain's leaders should have a voice, and help them show up with a clear, consistent point of view.\n\n - Lead announcement strategy. Plan and execute communications around major launches, funding, partnerships, and company milestones, working cross-functionally to make sure the story lands with the right audiences at the right time.\n\n - Set and uphold the communications standard. Define LangChain's voice in the outside world and the quality bar for anything that goes out under its name.\n\nBrand\n\n - Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately.\n\n - Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction.\n\n - Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa.\n\nSocial & Rich Media\n\n - Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving.\n\n - Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time.\n\n - Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, comms, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down.\n\nBrand Design\n\n - Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, comms, social, and brand moments.\n\n - Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work.\n\n - Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too.\n\nTeam Leadership\n\n - Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example.\n\n - Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, comms, and design operate as a unit.\n\n - Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift.\n\n \n\n\nWHAT WE'RE LOOKING FOR:\n\n - Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on narrative engine and keep it running at a high standard.\n\n - Player-coach. You've led creative, comms, or content teams and know how to develop people — but you stay close to the work and make it better by being in it.\n\n - Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across comms, brand, social, and design.\n\n - Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes.\n\n - Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar.\n\n - Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own.\n\n\n\nNice to Have \n\n - Experience leading narrative, brand, or comms teams at a developer-focused company\n\n - Background in technical or developer marketing\n\n - Familiarity with the AI/ML ecosystem and the tools developers use to build\n\n - Track record running brand campaigns, including out-of-home or awareness programs\n\n\n\nSalary Range: $200K-$240K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c425239d-ddca-4333-84fd-d719b8d3cb8b","title":"Partner Alliance Lead - Federal","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"Washington DC","secondaryLocations":[],"publishedAt":"2026-06-01T23:23:33.734+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States","addressLocality":"Washington DC"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c425239d-ddca-4333-84fd-d719b8d3cb8b","applyUrl":"https://jobs.ashbyhq.com/langchain/c425239d-ddca-4333-84fd-d719b8d3cb8b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.
You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.
Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.
Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.
Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.
Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.
Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.
Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.
Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.
Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.
FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.
Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.
Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.
Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.
Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.
Active security clearance (Secret or higher) or existing clearance eligibility.
Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.
Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.
Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).
Annual Salary Range: $190,000 to 270,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nAs our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.\n\nYou are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.\n\n - Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.\n\n - Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.\n\n - Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.\n\n - Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.\n\n - Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.\n\n - Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.\n\n\nWHAT YOU'LL BRING\n\n - Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.\n\n - FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.\n\n - Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.\n\n - Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.\n\n - Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.\n\n - Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.\n\n\nNICE TO HAVE'S\n\n - Active security clearance (Secret or higher) or existing clearance eligibility.\n\n - Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.\n\n - Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.\n\n - Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).\n \n Annual Salary Range: $190,000 to 270,000 + Equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c882af7e-59aa-4017-b791-9a8094c0ef6f","title":"Deployed Architect, Professional Services (APAC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Remote - Singapore","secondaryLocations":[],"publishedAt":"2026-08-27T22:22:53.948+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c882af7e-59aa-4017-b791-9a8094c0ef6f","applyUrl":"https://jobs.ashbyhq.com/langchain/c882af7e-59aa-4017-b791-9a8094c0ef6f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
Experience designing high-availability and disaster recovery solutions
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
1+ years of experience building production AI/ML applications or agents
Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
Experience with state management patterns (short-term and long-term memory)
Experience designing and implementing evaluation frameworks for AI applications
Strong prompt engineering skills with experience in optimization and A/B testing
Experience with vector stores, RAG patterns, and knowledge organization
Experience with tool integration, API design, and error handling patterns
Strong Python and/or TypeScript development skills
Customer-Facing:
Customer-facing experience with enterprise customers
Experience conducting technical assessments or infrastructure audits
Strong communication skills with ability to explain technical concepts to diverse audiences
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
Ability to balance infrastructure architecture with agent development work
Strong engineering background with hands-on development experience
Location: Singapore
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure & Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering & Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with ability to explain technical concepts to diverse audiences\n\n\nKEY ATTRIBUTES\n\n - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions\n\n - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences\n\n - Experience working cross-functionally with engineering teams, product teams, and customers\n\n - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation\n\n - Ability to balance infrastructure architecture with agent development work\n\n - Strong engineering background with hands-on development experience\n\nLocation: Singapore \n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c","title":"Senior Fullstack Engineer, Growth & Monetization","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-10T21:02:36.170+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c","applyUrl":"https://jobs.ashbyhq.com/langchain/f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.
About the role
LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.
What you'll do
Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention
Build flexible experimentation systems and processes capable of targeting diverse growth metrics
Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization
Design and ship new onboarding features and improvements that accelerate time to value
Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs
Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities
What you'll bring
Extensive fullstack software development experience using React, TypeScript, and Go and/or Python
Strong product intuition and a track record of working on monetization, pricing, or activation features
Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments
Comfortable working with REST APIs, Postgres, Redis, and modern backend infra
Startup DNA with the ability to thrive in fast-paced, zero-to-one environments
Self-directed with an ownership mindset
Bonus: Experience building for developers or product-led growth platforms
Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks
Compensation
Salary Range: $175,000-$240,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.\n\n\n\nAbout the role\n\nLangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat you'll do\n\n - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention\n\n - Build flexible experimentation systems and processes capable of targeting diverse growth metrics\n\n - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization\n\n - Design and ship new onboarding features and improvements that accelerate time to value\n\n - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs\n\n - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities\n\n\n\nWhat you'll bring\n\n - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python\n\n - Strong product intuition and a track record of working on monetization, pricing, or activation features\n\n - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments\n\n - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra\n\n - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments\n\n - Self-directed with an ownership mindset\n\n - Bonus: Experience building for developers or product-led growth platforms\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - Salary Range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f910bef0-83c0-4bce-b617-a04117874729","title":"Security Compliance Analyst","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-03T15:20:49.184+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f910bef0-83c0-4bce-b617-a04117874729","applyUrl":"https://jobs.ashbyhq.com/langchain/f910bef0-83c0-4bce-b617-a04117874729/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Security team at LangChain treats compliance as a business enabler, not a checkbox. We move fast, build customer trust across regulated industries, and are actively rethinking what modern security compliance looks like at an AI-native company. We are a small team that operates nothing like a traditional compliance function, still deep in the work of building controls, implementing frameworks, and pushing the business forward on security.
You'll play a central role in building and scaling LangChain's privacy compliance program, developing the processes, technical controls, and automation that back our commitments to customers, partners, and regulators. You'll maintain and grow our SOC 2, ISO 27001, and privacy programs while taking primary ownership of our privacy framework across multiple cloud environments, deployment models, and geographies. We are looking to hire in-person in SF or NY.
Build and automate our compliance operations layer, including evidence pipelines, control monitoring, and agentic systems for always-on visibility into our compliance posture.
Work directly with Engineering to embed security and privacy controls into our products, including deletion pipelines, PII detection, access audit logging, and fine-grained data access controls.
Maintain and scale our certification and audit programs across SOC 2, ISO 27001, ISO 27701, ISO 42001, HIPAA, GDPR, CCPA, EU-US Data Privacy Framework, and others. Drive audit readiness, identify overlapping requirements, and reuse evidence across frameworks to continuously strengthen our security story.
Partner with Legal on security and privacy contract execution, covering DPAs, BAAs, security addenda, and vendor terms. Build the templates, playbooks, and review processes that enable fast, reliable execution in regulated verticals and unblock enterprise sales.
Monitor adherence to security and privacy contractual obligations across all signed agreements, building the operational workflows and tracking mechanisms to stay on top of commitments as our customer base grows.
Contribute to LangChain's customer trust program — security questionnaire responses, due-diligence reviews, and the trust documentation and whitepapers that give regulated-industry customers confidence in our security posture.
Support vendor privacy risk assessments during onboarding and renewals.
5+ years in privacy, GRC, or security compliance, ideally with time at a Big 4 or advisory firm, or in-house at a high-growth tech company.
Hands-on operational experience with privacy regulations and compliance frameworks (GDPR, HIPAA, CCPA, ISO 27001, ISO 27701, SOC 2), including controls mapping, audit support, and day-to-day program operations.
Experience with DPAs and BAAs: reviewing, negotiating, or operationalizing them in a commercial context.
Technical fluency: comfortable reading code, understanding data flows, validating that controls work as described, and collaborating directly with engineering teams.
Exceptional writer. You'll draft policies, respond to security questionnaires, and translate complex requirements into clear guidance for audiences ranging from engineers to executives.
Background in a regulated industry (healthcare, finance, government) or working directly with regulated-industry customers.
Experience working across multi-cloud deployment environments.
Ability to write scripts or code (Python is a strong plus) to automate compliance checks, privacy workflows, or build integrations between security and compliance tooling.
Relevant certifications such as CIPM, CIPP/E, CIPP/US, CISA, CISSP, ISO 27001 Lead Implementer, or ISO 27701 Lead Implementer.
Annual salary range: $175,000- $220,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Security team at LangChain treats compliance as a business enabler, not a checkbox. We move fast, build customer trust across regulated industries, and are actively rethinking what modern security compliance looks like at an AI-native company. We are a small team that operates nothing like a traditional compliance function, still deep in the work of building controls, implementing frameworks, and pushing the business forward on security.\n\n \n\n\nABOUT THE ROLE\n\nYou'll play a central role in building and scaling LangChain's privacy compliance program, developing the processes, technical controls, and automation that back our commitments to customers, partners, and regulators. You'll maintain and grow our SOC 2, ISO 27001, and privacy programs while taking primary ownership of our privacy framework across multiple cloud environments, deployment models, and geographies. We are looking to hire in-person in SF or NY.\n\n \n\n\nWHAT YOU'LL DO\n\n - Build and automate our compliance operations layer, including evidence pipelines, control monitoring, and agentic systems for always-on visibility into our compliance posture.\n\n - Work directly with Engineering to embed security and privacy controls into our products, including deletion pipelines, PII detection, access audit logging, and fine-grained data access controls.\n\n - Maintain and scale our certification and audit programs across SOC 2, ISO 27001, ISO 27701, ISO 42001, HIPAA, GDPR, CCPA, EU-US Data Privacy Framework, and others. Drive audit readiness, identify overlapping requirements, and reuse evidence across frameworks to continuously strengthen our security story.\n\n - Partner with Legal on security and privacy contract execution, covering DPAs, BAAs, security addenda, and vendor terms. Build the templates, playbooks, and review processes that enable fast, reliable execution in regulated verticals and unblock enterprise sales.\n\n - Monitor adherence to security and privacy contractual obligations across all signed agreements, building the operational workflows and tracking mechanisms to stay on top of commitments as our customer base grows.\n\n - Contribute to LangChain's customer trust program — security questionnaire responses, due-diligence reviews, and the trust documentation and whitepapers that give regulated-industry customers confidence in our security posture.\n\n - Support vendor privacy risk assessments during onboarding and renewals.\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years in privacy, GRC, or security compliance, ideally with time at a Big 4 or advisory firm, or in-house at a high-growth tech company.\n\n - Hands-on operational experience with privacy regulations and compliance frameworks (GDPR, HIPAA, CCPA, ISO 27001, ISO 27701, SOC 2), including controls mapping, audit support, and day-to-day program operations.\n\n - Experience with DPAs and BAAs: reviewing, negotiating, or operationalizing them in a commercial context.\n\n - Technical fluency: comfortable reading code, understanding data flows, validating that controls work as described, and collaborating directly with engineering teams.\n\n - Exceptional writer. You'll draft policies, respond to security questionnaires, and translate complex requirements into clear guidance for audiences ranging from engineers to executives.\n \n \n\n\nNICE TO HAVE\n\n - Background in a regulated industry (healthcare, finance, government) or working directly with regulated-industry customers.\n\n - Experience working across multi-cloud deployment environments.\n\n - Ability to write scripts or code (Python is a strong plus) to automate compliance checks, privacy workflows, or build integrations between security and compliance tooling.\n\n - Relevant certifications such as CIPM, CIPP/E, CIPP/US, CISA, CISSP, ISO 27001 Lead Implementer, or ISO 27701 Lead Implementer.\n \n \n\n - Annual salary range: $175,000- $220,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"f166d46a-de9a-4c60-a275-496359dd650e","title":"Head of People Operations","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-11T20:40:10.735+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/f166d46a-de9a-4c60-a275-496359dd650e","applyUrl":"https://jobs.ashbyhq.com/langchain/f166d46a-de9a-4c60-a275-496359dd650e/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain is scaling fast. Our People function is lean by design and high-leverage by necessity. We don't run People Ops the way most companies do. We build operational systems that compound, automate the sludge, and keep the team focused on work that actually moves the company forward.
We're looking for a Head of People Operations to own the People Ops function end-to-end. This is the person who architects and runs the infrastructure every employee relies on: compliance, HRIS, benefits, leave programs, global employment, policy, and the automations that make all of it work without constant manual intervention.
You'll report to the VP of People. You'll have real scope and real authority. As we scale, you'll build a small team of ops coordinators under you. What you won't have is a 20-person HR function to route through. This is a build role.
San Francisco, CA; New York, NY; open to remote
Own People Ops end-to-end. You are the accountable operator for HRIS integrity, benefits administration, leave and accommodations management, compliance, and onboarding and offboarding programs. The function runs because you built it to.
Build and maintain LangChain's compliance layer. US multi-state requirements, global employment law, contractor vs. FTE classification, immigration case coordination, and audit readiness across I-9, ERISA Wrap, and Flex Plan. You're the internal expert and the escalation point, and you partner with outside employment counsel when it calls for it.
Own Rippling as the system of record. Workflow configuration, data integrity, onboarding and offboarding automation, payroll coordination. You don't just use the tool — you build it.
Lead global employment operations. Manage EoR provider relationships, coordinate international contractor agreements, and build scalable infrastructure for hiring across geographies including the US, UK, EU, and beyond. You understand the compliance nuance across regions, not just one.
Architect and govern People policies. Own the employee handbook, leave frameworks (medical, parental, personal), STD/LTD administration, outside activity and IP-adjacent policies, and the compliance governance behind them. You'll own the mechanics and logistics of our benefits programs long-term, including STD/LTD setup and ongoing vendor management.
Build People Ops automations and workflows. You've shipped automations yourself. You have opinions on what should be automated in the People function. You'll define the roadmap, build where you can, and partner with Talent Ops on execution where scopes intersect.
Own employee relations and accommodations. Handle ER matters with appropriate confidentiality, consistency, and documentation. Own the accommodations process end-to-end. You know when to resolve internally, when to escalate, and when to loop in counsel.
Contribute to People data and reporting. Own headcount data integrity in Rippling and contribute to the People analytics layer: turnover reporting, onboarding metrics, and the operational data that informs People strategy.
Evaluate and govern AI tools used in People Ops. As we deploy AI-assisted workflows across the function — from onboarding automation to compliance tooling — you'll be the operational owner who assesses accuracy, data handling, fairness, and auditability. You bring a thoughtful lens to where AI adds leverage and where human judgment is non-negotiable.
Support SOC2 and audit readiness. Serve as the People Ops owner for SOC2 and related compliance audits — documenting people-related controls, ensuring they're tested, and maintaining readiness as we scale.
Build a small team as we grow. You may hire 1-2 People Ops coordinators (FTE or contractor) over time. You know how to give people the torch and get out of their way.
8+ years in People Ops or HR Operations, with meaningful time owning a People Ops function at a high-growth technology company through a significant scale-up phase
Deep, hands-on Rippling experience — workflow config, data integrity, reporting, onboarding flows. Not \"familiar with it\"
Global employment experience across multiple regions — EoR coordination (Rippling Global, Multiplier, Remote, Deel, or similar), international contractor structuring, and cross-border compliance across US, UK, EU, APAC, or LATAM
Built automations and workflows yourself — you've shipped something using Zapier, Make, or an LLM-assisted workflow. You don't just have ideas; you have receipts
Strong working knowledge of California employment law and multi-state compliance, including leave administration, accommodations, and contractor classification
Proven track record building compliance and policy infrastructure from near-zero, including leave frameworks, employment policies, and handbook governance
Benefits administration and vendor management experience — brokers, carriers, EoR providers, background check vendors, and similar
Comfort operating at multiple altitudes — you can advise the VP of People on policy architecture in the morning and fix a broken Rippling workflow in the afternoon
High ownership orientation — you treat the function like it's yours, because it is
AI tool fluency — you actively use AI tools in your work, have an opinion on where they add leverage in People Ops, and bring appropriate judgment to their governance
Strong signal:
Experience at a high-growth AI or developer tools company
Have used or experimented with LangChain, LangSmith, or LangGraph
Have an opinion on what an AI-native People Ops function looks like — and have started building one
Experience standing up STD/LTD, 401(k) match, or similar benefits programs from scratch
Direct experience engaging outside employment counsel on policy or ER matters
SOC2 or similar compliance audit experience on the People side
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan with employer match, phone and wellness stipends, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nLangChain is scaling fast. Our People function is lean by design and high-leverage by necessity. We don't run People Ops the way most companies do. We build operational systems that compound, automate the sludge, and keep the team focused on work that actually moves the company forward.\n\nWe're looking for a Head of People Operations to own the People Ops function end-to-end. This is the person who architects and runs the infrastructure every employee relies on: compliance, HRIS, benefits, leave programs, global employment, policy, and the automations that make all of it work without constant manual intervention.\n\nYou'll report to the VP of People. You'll have real scope and real authority. As we scale, you'll build a small team of ops coordinators under you. What you won't have is a 20-person HR function to route through. This is a build role.\n\n\nLOCATION/CITY:\n\nSan Francisco, CA; New York, NY; open to remote\n\n\nRESPONSIBILITIES:\n\n - Own People Ops end-to-end. You are the accountable operator for HRIS integrity, benefits administration, leave and accommodations management, compliance, and onboarding and offboarding programs. The function runs because you built it to.\n\n - Build and maintain LangChain's compliance layer. US multi-state requirements, global employment law, contractor vs. FTE classification, immigration case coordination, and audit readiness across I-9, ERISA Wrap, and Flex Plan. You're the internal expert and the escalation point, and you partner with outside employment counsel when it calls for it.\n\n - Own Rippling as the system of record. Workflow configuration, data integrity, onboarding and offboarding automation, payroll coordination. You don't just use the tool — you build it.\n\n - Lead global employment operations. Manage EoR provider relationships, coordinate international contractor agreements, and build scalable infrastructure for hiring across geographies including the US, UK, EU, and beyond. You understand the compliance nuance across regions, not just one.\n\n - Architect and govern People policies. Own the employee handbook, leave frameworks (medical, parental, personal), STD/LTD administration, outside activity and IP-adjacent policies, and the compliance governance behind them. You'll own the mechanics and logistics of our benefits programs long-term, including STD/LTD setup and ongoing vendor management.\n\n - Build People Ops automations and workflows. You've shipped automations yourself. You have opinions on what should be automated in the People function. You'll define the roadmap, build where you can, and partner with Talent Ops on execution where scopes intersect.\n\n - Own employee relations and accommodations. Handle ER matters with appropriate confidentiality, consistency, and documentation. Own the accommodations process end-to-end. You know when to resolve internally, when to escalate, and when to loop in counsel.\n\n - Contribute to People data and reporting. Own headcount data integrity in Rippling and contribute to the People analytics layer: turnover reporting, onboarding metrics, and the operational data that informs People strategy.\n\n - Evaluate and govern AI tools used in People Ops. As we deploy AI-assisted workflows across the function — from onboarding automation to compliance tooling — you'll be the operational owner who assesses accuracy, data handling, fairness, and auditability. You bring a thoughtful lens to where AI adds leverage and where human judgment is non-negotiable.\n\n - Support SOC2 and audit readiness. Serve as the People Ops owner for SOC2 and related compliance audits — documenting people-related controls, ensuring they're tested, and maintaining readiness as we scale.\n\n - Build a small team as we grow. You may hire 1-2 People Ops coordinators (FTE or contractor) over time. You know how to give people the torch and get out of their way.\n\n\nREQUIREMENTS:\n\n - 8+ years in People Ops or HR Operations, with meaningful time owning a People Ops function at a high-growth technology company through a significant scale-up phase\n\n - Deep, hands-on Rippling experience — workflow config, data integrity, reporting, onboarding flows. Not \"familiar with it\"\n\n - Global employment experience across multiple regions — EoR coordination (Rippling Global, Multiplier, Remote, Deel, or similar), international contractor structuring, and cross-border compliance across US, UK, EU, APAC, or LATAM\n\n - Built automations and workflows yourself — you've shipped something using Zapier, Make, or an LLM-assisted workflow. You don't just have ideas; you have receipts\n\n - Strong working knowledge of California employment law and multi-state compliance, including leave administration, accommodations, and contractor classification\n\n - Proven track record building compliance and policy infrastructure from near-zero, including leave frameworks, employment policies, and handbook governance\n\n - Benefits administration and vendor management experience — brokers, carriers, EoR providers, background check vendors, and similar\n\n - Comfort operating at multiple altitudes — you can advise the VP of People on policy architecture in the morning and fix a broken Rippling workflow in the afternoon\n\n - High ownership orientation — you treat the function like it's yours, because it is\n\n - AI tool fluency — you actively use AI tools in your work, have an opinion on where they add leverage in People Ops, and bring appropriate judgment to their governance\n\nStrong signal:\n\n - Experience at a high-growth AI or developer tools company\n\n - Have used or experimented with LangChain, LangSmith, or LangGraph\n\n - Have an opinion on what an AI-native People Ops function looks like — and have started building one\n\n - Experience standing up STD/LTD, 401(k) match, or similar benefits programs from scratch\n\n - Direct experience engaging outside employment counsel on policy or ER matters\n\n - SOC2 or similar compliance audit experience on the People side\n\n\nCOMPENSATION & BENEFITS\n\nWe offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan with employer match, phone and wellness stipends, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8887b066-91bf-4a90-a769-1e021c366ecc","title":"System Integrator Alliance Manager","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-06-22T03:31:18.278+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8887b066-91bf-4a90-a769-1e021c366ecc","applyUrl":"https://jobs.ashbyhq.com/langchain/8887b066-91bf-4a90-a769-1e021c366ecc/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
LangChain's platform is increasingly at the center of enterprise AI agent deployments — and a growing share of those deployments are built and delivered by system integrators (SIs). Your job is to make sure the SIs building on LangChain are set up to win: technically capable, commercially aligned, and positioned to grow their LangChain practices.
This isn't a traditional channel role. The best SIs in this space move fast, operate closer to engineering teams than procurement, and care more about building real differentiation than logo badges. You'll need to meet them there.
SIs are building AI practices right now — and they're making stack decisions that will compound over the next several years. LangChain has strong product and community traction, but converting that into structured SI partnerships requires someone who can:
Build relationships with the practitioners doing the actual work (architects, delivery leads, practice heads), not just executive sponsors
Help SI teams go deeper on LangChain technically — running enablement sessions, connecting them to the right internal resources, and making sure they can actually deliver
Create and close co-sell motions with SIs on active enterprise opportunities
Build joint go-to-market programs that make sense for how SIs actually run their business
If you've sold or partnered through SIs before, you know the difference between a partnership on paper and one that drives real pipeline. We want someone who knows how to build the latter.
Build and manage a portfolio of SI partnerships — from global SIs and consultancies to regional & boutique specialists
Run joint pipeline with SI partners: co-selling on active deals, running QBRs, tracking attribution
Design and deliver partner enablement: certifications, training, delivery playbooks, and technical workshops
Work with our solutions engineering and product teams to get partners unblocked on technical questions
Represent partner perspective internally — surfacing what SIs need in terms of product capabilities, support, and commercial terms
Develop co-marketing and thought leadership programs with key partners
Must-haves:
10+ years in alliance management, partner sales, or business development — with direct experience working with SIs, GSIs, or consultancies
Genuine technical fluency in AI or developer tooling. You don't need to write production code, but you need to credibly discuss LLMs, agent architectures, and developer workflows
Track record of building SI partnerships, from the ground up, that drove measurable pipeline, not just signed agreements
Ability to manage relationships across multiple levels simultaneously — from engineers to practice heads to C-suite
Nice-to-haves:
Experience at a developer tools or AI/ML infrastructure company
Existing relationships at major SIs or management consultancies with active AI practices
Familiarity with LangChain, LangGraph, or LangSmith — you've built with it, seen it deployed, or worked with teams using it
LangChain is the open-source framework most teams reach for when they're building serious AI applications. We're a small team moving quickly, and this role has a real chance to shape how the SI ecosystem builds on top of what we're building. If that sounds like the right kind of problem, we'd like to talk.
Annual salary range: $220,000-$280,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nWHAT YOU'LL DO\n\nLangChain's platform is increasingly at the center of enterprise AI agent deployments — and a growing share of those deployments are built and delivered by system integrators (SIs). Your job is to make sure the SIs building on LangChain are set up to win: technically capable, commercially aligned, and positioned to grow their LangChain practices.\n\nThis isn't a traditional channel role. The best SIs in this space move fast, operate closer to engineering teams than procurement, and care more about building real differentiation than logo badges. You'll need to meet them there.\n\n\n\n\nTHE PROBLEMS YOU'LL BE SOLVING\n\nSIs are building AI practices right now — and they're making stack decisions that will compound over the next several years. LangChain has strong product and community traction, but converting that into structured SI partnerships requires someone who can:\n\n - Build relationships with the practitioners doing the actual work (architects, delivery leads, practice heads), not just executive sponsors\n\n - Help SI teams go deeper on LangChain technically — running enablement sessions, connecting them to the right internal resources, and making sure they can actually deliver\n\n - Create and close co-sell motions with SIs on active enterprise opportunities\n\n - Build joint go-to-market programs that make sense for how SIs actually run their business\n\nIf you've sold or partnered through SIs before, you know the difference between a partnership on paper and one that drives real pipeline. We want someone who knows how to build the latter.\n\n\n\n\nWHAT YOU'LL OWN\n\n - Build and manage a portfolio of SI partnerships — from global SIs and consultancies to regional & boutique specialists\n\n - Run joint pipeline with SI partners: co-selling on active deals, running QBRs, tracking attribution\n\n - Design and deliver partner enablement: certifications, training, delivery playbooks, and technical workshops\n\n - Work with our solutions engineering and product teams to get partners unblocked on technical questions\n\n - Represent partner perspective internally — surfacing what SIs need in terms of product capabilities, support, and commercial terms\n\n - Develop co-marketing and thought leadership programs with key partners\n\n\nWHAT WE'RE LOOKING FOR\n\nMust-haves:\n\n - 10+ years in alliance management, partner sales, or business development — with direct experience working with SIs, GSIs, or consultancies\n\n - Genuine technical fluency in AI or developer tooling. You don't need to write production code, but you need to credibly discuss LLMs, agent architectures, and developer workflows\n\n - Track record of building SI partnerships, from the ground up, that drove measurable pipeline, not just signed agreements\n\n - Ability to manage relationships across multiple levels simultaneously — from engineers to practice heads to C-suite\n\nNice-to-haves:\n\n - Experience at a developer tools or AI/ML infrastructure company\n\n - Existing relationships at major SIs or management consultancies with active AI practices\n\n - Familiarity with LangChain, LangGraph, or LangSmith — you've built with it, seen it deployed, or worked with teams using it\n\nLangChain is the open-source framework most teams reach for when they're building serious AI applications. We're a small team moving quickly, and this role has a real chance to shape how the SI ecosystem builds on top of what we're building. If that sounds like the right kind of problem, we'd like to talk.\n\n\n\n\nCOMPENSATION AND BENEFITS\n\n - Annual salary range: $220,000-$280,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"dfbba971-a7e2-4feb-a0d9-8e38a1155134","title":"Deployed Engineer (Early Career-NYC)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-17T20:04:00.132+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/dfbba971-a7e2-4feb-a0d9-8e38a1155134","applyUrl":"https://jobs.ashbyhq.com/langchain/dfbba971-a7e2-4feb-a0d9-8e38a1155134/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams and customers
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Build and run tailored demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
Strong Python, JavaScript and systems fundamentals
Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about shipping AI agents in production
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $160,000-175,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n \n\n\nABOUT THE ROLE\n\nYou'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n \n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams and customers\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Build and run tailored demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n \n\n\nWHAT YOU’LL BRING\n\n - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams\n\n - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about shipping AI agents in production\n\n \n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\nCOMPENSATION\n\nAnnual OTE range: $160,000-175,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6f50988c-8e95-4a68-aeea-a94872651ff7","title":"IT Systems Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-10T14:49:10.376+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6f50988c-8e95-4a68-aeea-a94872651ff7","applyUrl":"https://jobs.ashbyhq.com/langchain/6f50988c-8e95-4a68-aeea-a94872651ff7/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.
Infrastructure & Automation
Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth
Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools
Implement monitoring and documentation practices that enable operational excellence
Client Platform Engineering
Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however.
Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems
Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale
Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing
Security & Identity Management
Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege
Identify and implement security enhancements across our SaaS stack
Partner with our Security team to drive improvement of our enterprise security posture
SaaS Administration
Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management
Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface
Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work
Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product.
Core IT Operations
Provide support to employees globally across hardware, software, networking, and IT tools
Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one
5+ years of experience in IT engineering and systems administration
Deep proficiency with Okta and Okta Workflows
Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation
Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems
Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations
Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase
Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster
Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT
Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs
Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products
Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)
Annual salary range: $150,000-$170,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.\n\n \n\n\nWHAT YOU'LL DO\n\nInfrastructure & Automation\n\n - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth\n\n - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools\n\n - Implement monitoring and documentation practices that enable operational excellence\n\nClient Platform Engineering\n\n - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however.\n\n - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems\n\n - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale\n\n - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing\n\nSecurity & Identity Management\n\n - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege\n\n - Identify and implement security enhancements across our SaaS stack\n\n - Partner with our Security team to drive improvement of our enterprise security posture\n\nSaaS Administration\n\n - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management\n\n - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface\n\n - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work\n\n - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product.\n\nCore IT Operations\n\n - Provide support to employees globally across hardware, software, networking, and IT tools\n\n - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one\n \n \n\n\nWHAT YOU'LL BRING\n\n - 5+ years of experience in IT engineering and systems administration\n\n - Deep proficiency with Okta and Okta Workflows\n\n - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation\n\n - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems\n\n - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations\n\n - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase\n\n - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster\n\n - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT\n\n - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs\n\n - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products\n\n - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)\n \n \n\n - Annual salary range: $150,000-$170,00 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"28aba38e-de19-4ae5-9316-08575a11ae4d","title":"Product Designer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-07-23T04:09:14.348+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/28aba38e-de19-4ae5-9316-08575a11ae4d","applyUrl":"https://jobs.ashbyhq.com/langchain/28aba38e-de19-4ae5-9316-08575a11ae4d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability.
The common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it.
*This position will be onsite in either New York, NY or San Francisco, CA
Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs
Own the full design arc on your features — from early concepts to polished, shipped work
Work across a range of product areas and design initiatives as priorities shift
Collaborate closely with product, engineering and other key stakeholders to ship new features quickly
3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products
Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft
A track record of solving hard interaction design problems, particularly around dense technical data
Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs
You take initiative and ownership of tasks end-to-end
Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible
Start-up DNA - you thrive in fast-paced, highly dynamic environments
Annual salary range: $145,000-$185,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE:\n\n\n\nWe're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability.\n\nThe common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it.\n\n*This position will be onsite in either New York, NY or San Francisco, CA\n\n\n\n\nWHAT YOU'LL DO:\n\n\n\n - Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs\n\n - Own the full design arc on your features — from early concepts to polished, shipped work\n\n - Work across a range of product areas and design initiatives as priorities shift\n\n - Collaborate closely with product, engineering and other key stakeholders to ship new features quickly\n \n \n\n\nWHAT YOU'LL BRING:\n\n\n\n - 3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products\n\n - Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft\n\n - A track record of solving hard interaction design problems, particularly around dense technical data\n\n - Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs\n\n - You take initiative and ownership of tasks end-to-end \n\n - Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible\n\n - Start-up DNA - you thrive in fast-paced, highly dynamic environments \n \n \n\nAnnual salary range: $145,000-$185,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7441ccb7-bc77-4966-8d2f-e9ff487bc651","title":"Marketing Operations Systems","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-07-15T22:21:13.451+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7441ccb7-bc77-4966-8d2f-e9ff487bc651","applyUrl":"https://jobs.ashbyhq.com/langchain/7441ccb7-bc77-4966-8d2f-e9ff487bc651/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Marketing Operations Team
We're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools.
You'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily.
This role is built for those who get satisfaction from a campaign that launches without a hitch, a data flow with zero gaps, and finding the one workflow that saves the team ten hours a week.
Key Responsibilities:
Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place.
Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live.
Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work.
Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy.
Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs.
Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively.
Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions.
Preferred experience & skills
Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & ad platforms.
Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections.
Campaign Fluency: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them.
An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms.
A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to.
Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks.
Nice to Have:
Background in paid media operations or ad tech integrations
Experience running AI enablement for a non-technical team
If this role excites you but you don't check every box, we'd still love to hear from you; the right experience matters more than a perfect match on paper.
Compensation $155,000 -$185,000 + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nMarketing Operations Team\n\nWe're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools.\n\nYou'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily.\n\nThis role is built for those who get satisfaction from a campaign that launches without a hitch, a data flow with zero gaps, and finding the one workflow that saves the team ten hours a week.\n\n\n\nKey Responsibilities:\n\n - Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place.\n\n - Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live.\n\n - Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work.\n\n - Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy.\n\n - Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs.\n\n - Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively.\n\n - Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions.\n\n\n\nPreferred experience & skills\n\n - Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & ad platforms.\n\n - Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections.\n\n - Campaign Fluency: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them.\n\n - An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms.\n\n - A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to.\n\n - Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks.\n\nNice to Have:\n\n - Background in paid media operations or ad tech integrations\n\n - Experience running AI enablement for a non-technical team\n\nIf this role excites you but you don't check every box, we'd still love to hear from you; the right experience matters more than a perfect match on paper.\n\nCompensation $155,000 -$185,000 + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"589ecc6e-7e82-42f0-8789-10dcc7cd30be","title":"Account Executive (Mid Market) ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Chicago, IL","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}}},{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-28T22:12:42.421+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/589ecc6e-7e82-42f0-8789-10dcc7cd30be","applyUrl":"https://jobs.ashbyhq.com/langchain/589ecc6e-7e82-42f0-8789-10dcc7cd30be/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York City, Austin and Chicago
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
How to be successful in this role:
4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more
Annual salary: $280,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\n\n\nAbout the role:\n\nLocation: Hiring in San Francisco, New York City, Austin and Chicago\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\n\n\nHow to be successful in this role:\n\n - 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\n\n\nCompensation & Benefits:\n\n - Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more\n\n - Annual salary: $280,000 OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d96a60dd-849b-4a2f-a48a-ea73845b86ea","title":"Enterprise Account Executive - Benelux & Nordics","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Amsterdam","secondaryLocations":[],"publishedAt":"2026-07-31T10:48:25.068+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"","streetAddress":"Keizersgracht 555","addressCountry":"Netherlands","addressLocality":"Amsterdam"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d96a60dd-849b-4a2f-a48a-ea73845b86ea","applyUrl":"https://jobs.ashbyhq.com/langchain/d96a60dd-849b-4a2f-a48a-ea73845b86ea/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO\n\n\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\n\n\n\nWHAT YOU'LL BRING\n\n\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation\n\n - Annual salary range: $225,000-$350,000 OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"0f35c8e1-9318-411d-929b-04c60e6d8522","title":"Deployed Engineer (Early Career- SF)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-17T20:03:16.244+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/0f35c8e1-9318-411d-929b-04c60e6d8522","applyUrl":"https://jobs.ashbyhq.com/langchain/0f35c8e1-9318-411d-929b-04c60e6d8522/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams and customers
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Build and run tailored demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities
Occasionally contribute code upstream when it meaningfully improves customer outcomes
This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company
Strong Python, JavaScript and systems fundamentals
Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams
Excited to work directly with customers during POCs, architecture reviews, and technical evaluations
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about shipping AI agents in production
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $160,000-175,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThis team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nYou'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams and customers\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Build and run tailored demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement\n\n\n\n\nWHAT YOU’LL BRING\n\n - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams\n\n - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about shipping AI agents in production\n\n\n\n\nNICE TO HAVE’S:\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\nCOMPENSATION\n\nAnnual OTE range: $160,000-175,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"97ac0410-c6db-4c2a-9492-b68f62fcbbe3","title":"Commercial Account Executive (French Speaker)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-07-28T17:44:07.737+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/97ac0410-c6db-4c2a-9492-b68f62fcbbe3","applyUrl":"https://jobs.ashbyhq.com/langchain/97ac0410-c6db-4c2a-9492-b68f62fcbbe3/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in London,UK
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Native French Speaker
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in London,UK\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\n - Native French Speaker\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n \n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"792b5e2e-be55-47db-be21-733a9dad8f32","title":"Sales Development Representative ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-07-29T01:21:26.583+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/792b5e2e-be55-47db-be21-733a9dad8f32","applyUrl":"https://jobs.ashbyhq.com/langchain/792b5e2e-be55-47db-be21-733a9dad8f32/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What you will do:
Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
Clear, confident communicator who can engage both technical and business audiences
Motivated by learning, iteration, and experimentation you treat outreach like a craft
Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation & Benefits
Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
On target Earnings: $125,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.\n\nOur open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.\n\nLangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.\n\nAbout the role:\n\nWe’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.\n\nYou’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.\n\nWhat makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.\n\nWhat you will do:\n\n - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.\n\n - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.\n\n - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.\n\n - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.\n\n - Use LangChain powered agents to test, learn, and improve prospecting strategies\n\nHow to be successful in this role:\n\n - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)\n\n - Clear, confident communicator who can engage both technical and business audiences\n\n - Motivated by learning, iteration, and experimentation you treat outreach like a craft\n\n - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way\n\n - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate\n\n - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction\n\nCompensation & Benefits\n\n - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.\n\n - On target Earnings: $125,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"3a9b99ca-347f-4abf-8d34-9d66259c017f","title":"Commercial Account Executive - Benelux & Nordics","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-07-31T13:44:51.258+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"N1C 4AG","addressRegion":"United Kindom","streetAddress":"Fora - Gridiron Building, 1 Pancras Sq","addressCountry":"UK","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/3a9b99ca-347f-4abf-8d34-9d66259c017f","applyUrl":"https://jobs.ashbyhq.com/langchain/3a9b99ca-347f-4abf-8d34-9d66259c017f/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in London,UK
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in London,UK\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n \n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"385313eb-bff4-4019-8106-42714dc9879a","title":"Deployed Engineer (Houston)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Houston, TX","secondaryLocations":[],"publishedAt":"2026-08-03T14:44:09.599+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"TX","addressCountry":"United States","addressLocality":"Houston"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/385313eb-bff4-4019-8106-42714dc9879a","applyUrl":"https://jobs.ashbyhq.com/langchain/385313eb-bff4-4019-8106-42714dc9879a/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Co-architect and co-build production AI agents with customer engineering teams
Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Advise customers post-sale on architecture, best practices, and roadmap-level decisions
Run technical demos, trainings, and workshops for developer audiences
Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
Occasionally contribute code upstream when it meaningfully improves customer outcomes
Travel to customers up to 40% of the time
6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
Strong Python, JavaScript and systems fundamentals
Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
Can explain technical tradeoffs clearly and build trust with developer audiences
Take responsibility for outcomes, not just recommendations
Have a bias toward action and enjoy figuring things out as you go
Are excited about operating AI agents in production, not just building demos
You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Worked with LLM evaluation, observability, or guardrails
Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Have shipped and operated production software and are comfortable owning systems under real-world constraints
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.\n\nThis is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.\n\nDeployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.\n\n\n\n\nABOUT THE ROLE\n\nThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.\n\n\n\n\nWHAT YOU’LL DO\n\n - Co-architect and co-build production AI agents with customer engineering teams\n\n - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions\n\n - Run technical demos, trainings, and workshops for developer audiences\n\n - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers\n\n - Occasionally contribute code upstream when it meaningfully improves customer outcomes\n\n - Travel to customers up to 40% of the time\n \n \n\n\nWHAT YOU’LL BRING\n\n - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up\n\n - Strong Python, JavaScript and systems fundamentals\n\n - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling\n\n - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations\n\n - Can explain technical tradeoffs clearly and build trust with developer audiences\n\n - Take responsibility for outcomes, not just recommendations\n\n - Have a bias toward action and enjoy figuring things out as you go\n\n - Are excited about operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVE’S\n\n - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Worked with LLM evaluation, observability, or guardrails\n\n - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n - Have shipped and operated production software and are comfortable owning systems under real-world constraints\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $150,000–$250,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6bcf9d0f-053c-4c07-82dd-e6b3815fb2e0","title":"Sales Development Representative (Supporting APAC Region) ","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-04T20:00:40.086+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6bcf9d0f-053c-4c07-82dd-e6b3815fb2e0","applyUrl":"https://jobs.ashbyhq.com/langchain/6bcf9d0f-053c-4c07-82dd-e6b3815fb2e0/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What you will do:
Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
Use LangChain powered agents to test, learn, and improve prospecting strategies
Work hours aligned with APAC region (2pm -10pm PST)
How to be successful in this role:
1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
Clear, confident communicator who can engage both technical and business audiences
Motivated by learning, iteration, and experimentation you treat outreach like a craft
Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation & Benefits
Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
On Target Earnings: $125,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.\n\nOur open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.\n\nLangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.\n\nAbout the role:\n\nWe’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.\n\nYou’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.\n\nWhat makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.\n\nWhat you will do:\n\n - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.\n\n - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.\n\n - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.\n\n - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.\n\n - Use LangChain powered agents to test, learn, and improve prospecting strategies\n\n - Work hours aligned with APAC region (2pm -10pm PST)\n\nHow to be successful in this role:\n\n - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)\n\n - Clear, confident communicator who can engage both technical and business audiences\n\n - Motivated by learning, iteration, and experimentation you treat outreach like a craft\n\n - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way\n\n - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate\n\n - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction\n\nCompensation & Benefits\n\n - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.\n\n - On Target Earnings: $125,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"6b6ee951-6f94-4a2f-9e53-8410e9928614","title":"Enterprise Account Executive (Colorado)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"Denver, CO","secondaryLocations":[],"publishedAt":"2026-08-05T19:35:29.265+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/6b6ee951-6f94-4a2f-9e53-8410e9928614","applyUrl":"https://jobs.ashbyhq.com/langchain/6b6ee951-6f94-4a2f-9e53-8410e9928614/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
Negotiate pricing and deal terms and work with legal to redline contracts
Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
5+ years of experience selling complex software to enterprise customers
A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
Excellent communication and storytelling skills
Technical acumen with the ability to establish credibility with technical decision makers.
You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary: $350K OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nWe’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.\n\nThis is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through\n\n - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems\n\n - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value\n\n - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption\n\n - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams\n\n - Negotiate pricing and deal terms and work with legal to redline contracts\n\n - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience\n\n - Help define and iterate on our sales playbook - your input will help shape our go to market strategies\n\nHow to be successful in this role:\n\n - 5+ years of experience selling complex software to enterprise customers\n\n - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity\n\n - Excellent communication and storytelling skills\n\n - Technical acumen with the ability to establish credibility with technical decision makers.\n\n - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one\n\n - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward\n\n - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry\n\n\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary: $350K OTE USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"8e39ab8c-2288-4327-8f8e-1b8b4cfc73a5","title":"Manager, Commercial Account Management ","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-06T22:16:59.698+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/8e39ab8c-2288-4327-8f8e-1b8b4cfc73a5","applyUrl":"https://jobs.ashbyhq.com/langchain/8e39ab8c-2288-4327-8f8e-1b8b4cfc73a5/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Team
Our post-sale team owns the full customer relationship for commercial customers driving adoption, retention, and expansion. Account managers on this team act as trusted commercial advisors, helping customers realize the full value of LangChain while protecting and growing revenue through renewals and expansion. The team works closely with Product, Engineering, and RevOps to deliver a seamless customer journey.
About the Role
We're hiring a Manager to lead and scale our Commercial Account Management team. You'll be responsible for the performance of the team as a whole, coaching individual account managers, setting the strategy and cadence for how the team manages renewals and expansion, and owning the portfolio-level retention and net revenue retention numbers that result. This is a player-coach role early on: you'll need to be able to step into a deal or a customer relationship directly when it matters, while building the systems and talent that let the team scale.
What You'll Do
Hire, coach, and develop a team of commercial account managers, setting clear goals and providing regular feedback on pipeline management, negotiation, and customer relationship skills
Own the team's rolling forecast and consistently meet or exceed quarterly and annual retention and expansion targets across the portfolio
Build and refine the playbooks, processes, and tools the team uses to manage the customer lifecycle, from onboarding through renewal and expansion
Review portfolio health regularly with your team, helping them identify churn risk early and prioritize the right accounts and interventions
Get directly involved in complex or high-stakes renewals and expansion conversations, including commercial negotiation and deal structuring, when your experience can move a deal forward
Build scaled account management practices to provide the team leverage and focus their energy on building a stronger customer relationship
Partner with Deployed Engineers, RevOps, and Product to align on a unified post-sale strategy and to represent the voice of the customer in product evolution
Set and track the metrics that matter for the team: retention, NRR, forecast accuracy, pipeline coverage, and report on team performance to leadership
Support your team through quoting, procurement, and contract processes, and help resolve escalations that require additional commercial or organizational leverage
What You'll Bring
6+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Management, preferably within B2B SaaS
2+ years of experience directly managing or leading a team of account managers, customer success managers, or similar quota-carrying reps
A proven track record of hitting team-level retention and expansion targets (e.g., Gross Renewal Rate, Net Revenue Retention), not just individual quota
Strong coaching instincts, you can diagnose what's holding a rep back in a negotiation or renewal cycle and help them improve
Strong commercial acumen, with experience overseeing complex, multi-stakeholder renewal and expansion cycles
Strong technical aptitude and the ability to understand and articulate the value of complex technical products; familiarity with the modern AI/LLM stack is a significant plus
Exceptional communication skills, with the ability to represent the team's priorities to cross-functional leadership and to build rapport with customer executives directly when needed
Proficiency with CRM software (e.g., Salesforce) for forecasting and pipeline oversight
Comfort operating with a high degree of autonomy and ambiguity in a fast-paced, high-growth environment
Nice to Have's
Direct experience at a high-growth, developer-first, or AI/ML infrastructure company
Experience managing a team through a consumption or usage-based pricing model
Experience building an account management function from an early or immature stage, writing the first version of the playbook, not just inheriting one
Compensation
$275k OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nOur post-sale team owns the full customer relationship for commercial customers driving adoption, retention, and expansion. Account managers on this team act as trusted commercial advisors, helping customers realize the full value of LangChain while protecting and growing revenue through renewals and expansion. The team works closely with Product, Engineering, and RevOps to deliver a seamless customer journey.\n\n\n\nAbout the Role\n\nWe're hiring a Manager to lead and scale our Commercial Account Management team. You'll be responsible for the performance of the team as a whole, coaching individual account managers, setting the strategy and cadence for how the team manages renewals and expansion, and owning the portfolio-level retention and net revenue retention numbers that result. This is a player-coach role early on: you'll need to be able to step into a deal or a customer relationship directly when it matters, while building the systems and talent that let the team scale.\n\n\n\nWhat You'll Do\n\n - Hire, coach, and develop a team of commercial account managers, setting clear goals and providing regular feedback on pipeline management, negotiation, and customer relationship skills\n\n - Own the team's rolling forecast and consistently meet or exceed quarterly and annual retention and expansion targets across the portfolio\n\n - Build and refine the playbooks, processes, and tools the team uses to manage the customer lifecycle, from onboarding through renewal and expansion\n\n - Review portfolio health regularly with your team, helping them identify churn risk early and prioritize the right accounts and interventions\n\n - Get directly involved in complex or high-stakes renewals and expansion conversations, including commercial negotiation and deal structuring, when your experience can move a deal forward\n\n - Build scaled account management practices to provide the team leverage and focus their energy on building a stronger customer relationship\n\n - Partner with Deployed Engineers, RevOps, and Product to align on a unified post-sale strategy and to represent the voice of the customer in product evolution\n\n - Set and track the metrics that matter for the team: retention, NRR, forecast accuracy, pipeline coverage, and report on team performance to leadership\n\n - Support your team through quoting, procurement, and contract processes, and help resolve escalations that require additional commercial or organizational leverage\n \n \n\nWhat You'll Bring\n\n - 6+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Management, preferably within B2B SaaS\n\n - 2+ years of experience directly managing or leading a team of account managers, customer success managers, or similar quota-carrying reps\n\n - A proven track record of hitting team-level retention and expansion targets (e.g., Gross Renewal Rate, Net Revenue Retention), not just individual quota\n\n - Strong coaching instincts, you can diagnose what's holding a rep back in a negotiation or renewal cycle and help them improve\n\n - Strong commercial acumen, with experience overseeing complex, multi-stakeholder renewal and expansion cycles\n\n - Strong technical aptitude and the ability to understand and articulate the value of complex technical products; familiarity with the modern AI/LLM stack is a significant plus\n\n - Exceptional communication skills, with the ability to represent the team's priorities to cross-functional leadership and to build rapport with customer executives directly when needed\n\n - Proficiency with CRM software (e.g., Salesforce) for forecasting and pipeline oversight\n\n - Comfort operating with a high degree of autonomy and ambiguity in a fast-paced, high-growth environment\n\nNice to Have's\n\n - Direct experience at a high-growth, developer-first, or AI/ML infrastructure company\n\n - Experience managing a team through a consumption or usage-based pricing model\n\n - Experience building an account management function from an early or immature stage, writing the first version of the playbook, not just inheriting one\n \n \n\nCompensation\n$275k OTE \n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"98fcaa18-d323-49cd-b231-b2d4b905419d","title":"Solutions Engineer (Chicago)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Chicago, IL","secondaryLocations":[],"publishedAt":"2026-08-18T21:36:57.999+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/98fcaa18-d323-49cd-b231-b2d4b905419d","applyUrl":"https://jobs.ashbyhq.com/langchain/98fcaa18-d323-49cd-b231-b2d4b905419d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.
This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.
We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.
You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.
Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo
Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations
Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement
Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations
Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts
Contribute code upstream when it meaningfully improves customer outcomes
6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up
Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations
Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make
A track record of taking responsibility for outcomes, not just recommendations
A bias toward action and a willingness to figure things out as you go
Genuine interest in operating AI agents in production, not just building demos
You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Experience carrying a technical number or working against pipeline alongside a sales team
Experience with LLM evaluation, observability, or guardrails
Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Annual OTE range: $200,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.\n\nThis is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.\n\nWe sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.\n\n \n\n\nABOUT THE ROLE\n\nYou will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.\n\n \n\n\nWHAT YOU'LL DO\n\n - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo\n\n - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations\n\n - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations\n\n - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts\n\n - Contribute code upstream when it meaningfully improves customer outcomes\n\n \n\n\nWHAT YOU'LL BRING\n\n - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up\n\n - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations\n\n - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make\n\n - A track record of taking responsibility for outcomes, not just recommendations\n\n - A bias toward action and a willingness to figure things out as you go\n\n - Genuine interest in operating AI agents in production, not just building demos\n\n \n\n\nNICE TO HAVES\n\n - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Experience carrying a technical number or working against pipeline alongside a sales team\n\n - Experience with LLM evaluation, observability, or guardrails\n\n - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n \n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$250,000 USD\n\n \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"df7a4d66-2159-4dff-b5ff-92f6e835f242","title":"Solutions Engineer (Texas)","department":"Deployed Engineering","team":"Deployed Engineering","employmentType":"FullTime","location":"Dallas, TX","secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}}],"publishedAt":"2026-08-13T15:47:58.372+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/df7a4d66-2159-4dff-b5ff-92f6e835f242","applyUrl":"https://jobs.ashbyhq.com/langchain/df7a4d66-2159-4dff-b5ff-92f6e835f242/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.
This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.
We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.
You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.
Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo
Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations
Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement
Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations
Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts
Contribute code upstream when it meaningfully improves customer outcomes
6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up
Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations
Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make
A track record of taking responsibility for outcomes, not just recommendations
A bias toward action and a willingness to figure things out as you go
Genuine interest in operating AI agents in production, not just building demos
You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
Experience carrying a technical number or working against pipeline alongside a sales team
Experience with LLM evaluation, observability, or guardrails
Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
Annual OTE range: $200,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.\n\nThis is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.\n\nWe sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.\n\n\n\n\nABOUT THE ROLE\n\nYou will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo\n\n - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations\n\n - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout\n\n - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows\n\n - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement\n\n - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations\n\n - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts\n\n - Contribute code upstream when it meaningfully improves customer outcomes\n\n\n\n\nWHAT YOU'LL BRING\n\n - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up\n\n - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations\n\n - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make\n\n - A track record of taking responsibility for outcomes, not just recommendations\n\n - A bias toward action and a willingness to figure things out as you go\n\n - Genuine interest in operating AI agents in production, not just building demos\n\n\n\n\nNICE TO HAVES\n\n - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks\n\n - Experience carrying a technical number or working against pipeline alongside a sales team\n\n - Experience with LLM evaluation, observability, or guardrails\n\n - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts\n\n\n\n\nCOMPENSATION\n\nAnnual OTE range: $200,000–$250,000 USD\n\n\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"47a3bc2a-2bed-4d61-b1de-b3d7ec211a08","title":"Partner Engineer","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-14T13:09:32.938+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/47a3bc2a-2bed-4d61-b1de-b3d7ec211a08","applyUrl":"https://jobs.ashbyhq.com/langchain/47a3bc2a-2bed-4d61-b1de-b3d7ec211a08/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.
Cloud Partner Engineering (GCP, Azure)
Build reference architectures and integration patterns that support the technical side of co-sell, from marketplace listings to joint solution briefs
Partner with cloud field and partner teams on solutioning for named accounts.
Keep our marketplace presence and co-sell technical assets current as LangChain, LangGraph, and LangSmith evolve
Systems Integrator and GSI Enablement
Build and run LangChain's services partner enablement program from the ground up, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on our agent development lifecycle (ADLC) framework
Run LangChain's partner certification program in the region: deliver certification workshops, review certification projects, and guide partner engineers through the program.
Work with SI centers of excellence (CoEs) to develop repeatable joint solutions and reference architectures, so an SI's own teams can scope, build, and deploy agentic AI independently instead of pulling in LangChain engineering for every deal
Act as a technical evangelist in the field: work directly with an SI's client account teams to make the technical case for LangChain on a specific engagement, which is a different motion than the strategic work you do with a CoE
Build and maintain joint business plans with strategic services partners, translating account and industry priorities into a shared technical roadmap and a concrete set of reference assets
Help SI teams grow from an individual technical champion into a full center of excellence, then support that expertise as it spreads across their client base
Contribute technical enablement to our Tier 1 GSI strategy as it matures, including scoping what a global systems integrator needs to stand up its own agentic AI practice
Partner Technical Evangelism and Feedback
Serve as a technical escalation point for complex partner-led deployments
Represent LangChain at partner events, summits, and joint webinars
Gather feedback from partners and the field, and route it back to product and engineering
7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer. We also like former founders, and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.
Partner and Technical Experience:
Track record of partnering with systems integrators, cloud providers, or technology and ISV partners to solve complex technical problems, from initial solution design through delivery
Experience building enablement programs, such as certifications, workshops, or delivery playbooks, that let a partner's technical team operate independently instead of depending on you for every deal
Comfortable operating across engineering, partnerships, and sales at the same time
Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
Agent Engineering and Development:
Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
Strong Python skills
Cloud and Integration:
Working knowledge of GCP and/or Azure cloud services.
Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
Familiarity with vector stores, tool integration, and API design in agentic systems
You build credibility with a partner's technical team and serve as trusted advisor to the partner.
Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a partner summit.
You build assets that scale. A reference architecture or enablement guide should work for the next ten partners, not just the one in front of you
You're comfortable with variety. Cloud co-sell, ISV integrations, and SI enablement each look different day to day, and switching between them doesn't throw you off
Compensation: Annual salary range: $170,000 to $200,000 USD.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nCloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.\n\nYou'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.\n\n\nKEY RESPONSIBILITIES\n\nCloud Partner Engineering (GCP, Azure)\n\n - Build reference architectures and integration patterns that support the technical side of co-sell, from marketplace listings to joint solution briefs\n\n - Partner with cloud field and partner teams on solutioning for named accounts.\n\n - Keep our marketplace presence and co-sell technical assets current as LangChain, LangGraph, and LangSmith evolve\n\nSystems Integrator and GSI Enablement\n\n - Build and run LangChain's services partner enablement program from the ground up, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on our agent development lifecycle (ADLC) framework\n\n - Run LangChain's partner certification program in the region: deliver certification workshops, review certification projects, and guide partner engineers through the program.\n\n - Work with SI centers of excellence (CoEs) to develop repeatable joint solutions and reference architectures, so an SI's own teams can scope, build, and deploy agentic AI independently instead of pulling in LangChain engineering for every deal\n\n - Act as a technical evangelist in the field: work directly with an SI's client account teams to make the technical case for LangChain on a specific engagement, which is a different motion than the strategic work you do with a CoE\n\n - Build and maintain joint business plans with strategic services partners, translating account and industry priorities into a shared technical roadmap and a concrete set of reference assets\n\n - Help SI teams grow from an individual technical champion into a full center of excellence, then support that expertise as it spreads across their client base\n\n - Contribute technical enablement to our Tier 1 GSI strategy as it matures, including scoping what a global systems integrator needs to stand up its own agentic AI practice\n\nPartner Technical Evangelism and Feedback\n\n - Serve as a technical escalation point for complex partner-led deployments\n\n - Represent LangChain at partner events, summits, and joint webinars\n\n - Gather feedback from partners and the field, and route it back to product and engineering\n\n\nWHAT WE'RE LOOKING FOR\n\n7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer. We also like former founders, and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.\n\nPartner and Technical Experience:\n\n - Track record of partnering with systems integrators, cloud providers, or technology and ISV partners to solve complex technical problems, from initial solution design through delivery\n\n - Experience building enablement programs, such as certifications, workshops, or delivery playbooks, that let a partner's technical team operate independently instead of depending on you for every deal\n\n - Comfortable operating across engineering, partnerships, and sales at the same time\n\n - Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives\n\nAgent Engineering and Development:\n\n - Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture\n\n - Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results\n\n - Strong Python skills\n\nCloud and Integration:\n\n - Working knowledge of GCP and/or Azure cloud services.\n\n - Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse\n\n - Familiarity with vector stores, tool integration, and API design in agentic systems\n\n\nKEY ATTRIBUTES\n\n - You build credibility with a partner's technical team and serve as trusted advisor to the partner.\n\n - Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a partner summit.\n\n - You build assets that scale. A reference architecture or enablement guide should work for the next ten partners, not just the one in front of you\n\n - You're comfortable with variety. Cloud co-sell, ISV integrations, and SI enablement each look different day to day, and switching between them doesn't throw you off\n\nCompensation: Annual salary range: $170,000 to $200,000 USD.\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"df918915-25ae-4381-a142-376c3dd99036","title":"Activation Specialist (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-26T21:59:15.742+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/df918915-25ae-4381-a142-376c3dd99036","applyUrl":"https://jobs.ashbyhq.com/langchain/df918915-25ae-4381-a142-376c3dd99036/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications.
We’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently.
Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment.
Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions.
Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed.
Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently.
Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes.
Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run.
2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function.
A strong desire to work directly with customers and build productive, trusted relationships.
Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned.
A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves.
Clear, friendly written and verbal communication skills.
Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job.
Customer onboarding experience at a SaaS company.
Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation.
Exposure to developer tools, observability, evaluations, or AI/LLM workflows.
Familiarity with analytics, BI tools or SQL.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment.\n\n - Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions.\n\n - Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed.\n\n - Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently.\n\n - Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes.\n\n - Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run.\n \n \n\n\nWHAT YOU’LL BRING\n\n - 2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function.\n\n - A strong desire to work directly with customers and build productive, trusted relationships.\n\n - Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned.\n\n - A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves.\n\n - Clear, friendly written and verbal communication skills.\n\n - Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job.\n \n \n\n\nNICE TO HAVE’S\n\n - Customer onboarding experience at a SaaS company.\n\n - Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation.\n\n - Exposure to developer tools, observability, evaluations, or AI/LLM workflows.\n\n - Familiarity with analytics, BI tools or SQL. \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7948d642-ed18-45cf-8d04-b0789039b422","title":"Activation Specialist (NYC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-26T21:59:24.119+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7948d642-ed18-45cf-8d04-b0789039b422","applyUrl":"https://jobs.ashbyhq.com/langchain/7948d642-ed18-45cf-8d04-b0789039b422/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
The Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications.
We’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently.
Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment.
Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions.
Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed.
Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently.
Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes.
Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run.
2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function.
A strong desire to work directly with customers and build productive, trusted relationships.
Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned.
A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves.
Clear, friendly written and verbal communication skills.
Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job.
Customer onboarding experience at a SaaS company.
Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation.
Exposure to developer tools, observability, evaluations, or AI/LLM workflows.
Familiarity with analytics, BI tools or SQL.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM\n\nThe Customer Experience team helps customers adopt LangSmith and turn early momentum into lasting product usage. The team partners closely with GTM, Product, Engineering, and LangChain specialists to guide customers through onboarding, production readiness, and the practices required to build reliable AI applications.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for an Activation Specialist to join the Customer Experience team. In this role, you’ll work with new customers during their first weeks on LangSmith, helping them move from signed contract to a working platform that is ready for agents in production. You’ll focus on activation milestones such as admin setup, user onboarding, traces flowing, evaluations in place, and customer teams feeling confident enough to keep building independently.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own customer onboarding from kickoff through early activation milestones, including admin setup, SDK integration, first traced run, first evaluation, and LangGraph deployment.\n\n - Guide customers through core LangSmith setup and production readiness topics, including security, org design, workload isolation, and integration questions.\n\n - Partner with GTM teams, Product, Engineering, and LangChain specialists to unblock customers and coordinate support when deeper expertise is needed.\n\n - Help customers build their first evaluation workflows, define what “good” looks like, and confirm they can debug a production trace independently.\n\n - Route customers to the right resources and turn recurring onboarding questions into runbooks, documentation, and repeatable processes.\n\n - Surface customer friction to Product and Engineering early and track activation metrics such as time to first trace, first evaluation, and production run.\n \n \n\n\nWHAT YOU’LL BRING\n\n - 2–4 years of experience in a customer-facing role such as support, customer success, account management, onboarding, or a similar function.\n\n - A strong desire to work directly with customers and build productive, trusted relationships.\n\n - Excellent organization and follow-through, with a track record of keeping customers and internal partners aligned.\n\n - A proactive, industrious approach to learning new tools, solving problems, and rolling up your sleeves.\n\n - Clear, friendly written and verbal communication skills.\n\n - Curiosity about technology and AI, plus a willingness to get hands-on and learn technical concepts on the job.\n \n \n\n\nNICE TO HAVE’S\n\n - Customer onboarding experience at a SaaS company.\n\n - Familiarity with enterprise readiness concepts such as SSO, SCIM, ABAC, and workload isolation.\n\n - Exposure to developer tools, observability, evaluations, or AI/LLM workflows.\n\n - Familiarity with analytics, BI tools or SQL. \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"01b42b2d-538f-4d5f-b9f1-2de1197bc0cb","title":"Commercial Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-20T16:02:43.126+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/01b42b2d-538f-4d5f-b9f1-2de1197bc0cb","applyUrl":"https://jobs.ashbyhq.com/langchain/01b42b2d-538f-4d5f-b9f1-2de1197bc0cb/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
Build relationships with prospects and customers, understanding their needs and how our products can help
Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
Strong track record of sourcing, qualifying, and closing outbound deals
Execution mindset: you excel in fast-paced environments and move with urgency
Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation & Benefits:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $220,000 OTE
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout LangChain\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nToday, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nAbout the role:\n\nLocation: Hiring in San Francisco, New York\n\nWe're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.\n\nThis is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.\n\n\nWHAT YOU’LL DO:\n\n - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through\n\n - Build relationships with prospects and customers, understanding their needs and how our products can help\n\n - Prospect strategically into SMB, mid-market, and small-enterprise accounts\n\nHow to be successful in this role:\n\n - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)\n\n - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts\n\n - Strong track record of sourcing, qualifying, and closing outbound deals\n\n - Execution mindset: you excel in fast-paced environments and move with urgency\n\n - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.\n\n - Self-starter and resourceful; you find ways to solve problems and move things forward\n\nCompensation & Benefits:\n\n - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n - Annual salary range: $220,000 OTE\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"886be84d-b56a-4260-a8dc-87992640293d","title":"Business Systems Analyst, GTM Systems","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-20T18:11:53.821+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/886be84d-b56a-4260-a8dc-87992640293d","applyUrl":"https://jobs.ashbyhq.com/langchain/886be84d-b56a-4260-a8dc-87992640293d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it.
We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next.
You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale.
This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates.
You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan.
You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct.
Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph.
Carry multi-quarter programs
Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption.
Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs.
Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets.
Own what gets specified and what ships
Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation.
Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off.
Run vendor evaluations when the right answer is buy, integrate, or replace rather than build.
Protect revenue data integrity
Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them.
Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions.
Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production.
In your first 6–12 months, you might:
Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field.
Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale.
Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation.
Establish a specification and UAT standard that engineers and AI agents can reliably build against.
Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution.
Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout.
Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene.
Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes.
Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code.
Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day.
Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release.
Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality.
Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative.
One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec.
Maximum agency — you find the friction and start the project. You don't wait for a ticket.
AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way.
Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it.
None of these is a screen; any one makes you useful faster.
You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign.
You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved.
You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break.
You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation.
You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it.
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual salary range: $165-$180k USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE TEAM:\n\nYou'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it.\n\nWe design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next.\n\n\n\n\nABOUT THE ROLE:\n\nYou'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale.\n\nThis is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates.\n\nYou'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan.\n\nYou won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct.\n\nLocation: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph.\n\n\n\n\nWHAT YOU'LL OWN:\n\nCarry multi-quarter programs\n\n - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption.\n\n - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs.\n\n - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets.\n\nOwn what gets specified and what ships\n\n - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation.\n\n - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off.\n\n - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build.\n\nProtect revenue data integrity\n\n - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them.\n\n - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions.\n\n - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production.\n\n\nWHAT SUCCESS LOOKS LIKE:\n\nIn your first 6–12 months, you might:\n\n - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field.\n\n - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale.\n\n - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation.\n\n - Establish a specification and UAT standard that engineers and AI agents can reliably build against.\n\n - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution.\n\n\nWHAT YOU'LL NEED TO BE SUCCESSFUL:\n\n\nSYSTEMS AND DOMAIN DEPTH\n\n - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout.\n\n - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene.\n\n - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes.\n\n - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code.\n\n\nPROGRAM LEADERSHIP\n\n - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day.\n\n - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release.\n\n - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality.\n\n - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative.\n\n\nJUDGMENT AND COMMUNICATION\n\n - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec.\n\n - Maximum agency — you find the friction and start the project. You don't wait for a ticket.\n\n - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way.\n\n - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it.\n\n\nSTRONG SIGNALS:\n\nNone of these is a screen; any one makes you useful faster.\n\n - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign.\n\n - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved.\n\n - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break.\n\n - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation.\n\n - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it.\n\n\nCOMPENSATION & BENEFITS\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\nAnnual salary range: $165-$180k USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"7af64749-bc2c-4722-b40a-febac36fc56b","title":"Solutions Marketing Manager","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-18T01:03:39.745+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/7af64749-bc2c-4722-b40a-febac36fc56b","applyUrl":"https://jobs.ashbyhq.com/langchain/7af64749-bc2c-4722-b40a-febac36fc56b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases.
This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy.
You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation.
The role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production.
You’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market.
Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities.
Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences.
Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content.
Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need.
Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations.
Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions.
Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context.
Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs.
Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams.
Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up.
You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role.
You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products.
You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.”
You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations.
You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging.
You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement.
You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users.
You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life.
You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve.
You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work.
Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries.
Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral.
Familiarity with the LLM, agent, or AI application development ecosystem.
Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.
You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field.
You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control.
You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly.
Compensation: 140,000 - 195,000K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases.\n\nThis role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy.\n\nYou’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation.\n\nThe role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production.\n\nYou’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market.\n\n\n\n\nWHAT YOU’LL DO\n\n\nDEVELOP INDUSTRY AND USE CASE SOLUTIONS\n\n - Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities.\n\n - Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences.\n\n - Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content.\n\n - Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need.\n\n - Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations.\n\n\nSUPPORT ENTERPRISE GTM MOTIONS\n\n - Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions.\n\n - Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context.\n\n - Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs.\n\n - Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams.\n\n - Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up.\n\n\n\n\nWHAT YOU’LL BRING\n\n - You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role.\n\n - You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products.\n\n - You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.”\n\n - You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations.\n\n - You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging.\n\n - You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement.\n\n - You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users.\n\n - You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life.\n\n - You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve.\n\n - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work.\n\n\nNICE TO HAVE\n\n - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries.\n\n - Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral.\n\n - Familiarity with the LLM, agent, or AI application development ecosystem.\n\n - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption.\n\n\nWHY JOIN\n\n - You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field.\n\n - You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control.\n\n - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly.\n \n Compensation: 140,000 - 195,000K\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"c450c07a-196e-4ad4-9938-f368eb0ba65d","title":"Deployed Engineer, Professional Services (San Francisco)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-27T21:48:12.360+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/c450c07a-196e-4ad4-9938-f368eb0ba65d","applyUrl":"https://jobs.ashbyhq.com/langchain/c450c07a-196e-4ad4-9938-f368eb0ba65d/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
San Francisco, CA
$150,000-$215,000 base + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n\nNICE TO HAVE\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\nLOCATION\n\nSan Francisco, CA\n\n\n\n\nCOMPENSATION\n\n$150,000-$215,000 base + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"329c0b62-0ca0-4311-a827-50a5a3333861","title":"Deployed Engineer, Professional Services (NYC)","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-08-27T21:49:04.344+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/329c0b62-0ca0-4311-a827-50a5a3333861","applyUrl":"https://jobs.ashbyhq.com/langchain/329c0b62-0ca0-4311-a827-50a5a3333861/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
New York, New York
$150,000-$215,000 base + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n\nNICE TO HAVE\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\nLOCATION\n\nNew York, New York\n\n\n\n\nCOMPENSATION\n\n$150,000-$215,000 base + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."},{"id":"d1dc8b4d-5f7f-46b3-bfd9-dfcb375a614b","title":"Deployed Engineer, Professional Services","department":"Customer Engineering","team":"Customer Engineering","employmentType":"FullTime","location":"Atlanta, GA","secondaryLocations":[{"location":"Austin, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}}},{"location":"Dallas, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Dallas"}}},{"location":"Las Vegas, NV","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Nashville, TN","address":{"postalAddress":{"addressRegion":"Tennessee","addressCountry":"United States","addressLocality":"Nashville"}}},{"location":"Seattle, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"Boston, MA","address":{"postalAddress":{"addressRegion":"MA","addressCountry":"United States","addressLocality":"Cambridge"}}},{"location":"Detroit, MI","address":{"postalAddress":{"addressRegion":"Michigan","addressCountry":"United States","addressLocality":"Detroit"}}},{"location":"San Diego, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States"}}},{"location":"Denver, CO","address":{"postalAddress":{"addressCountry":"United States"}}}],"publishedAt":"2026-08-27T21:50:25.395+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"GA","addressCountry":"United States","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/langchain/d1dc8b4d-5f7f-46b3-bfd9-dfcb375a614b","applyUrl":"https://jobs.ashbyhq.com/langchain/d1dc8b4d-5f7f-46b3-bfd9-dfcb375a614b/application","descriptionHtml":"At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
2+ years of hands-on experience building and shipping production agent systems.
Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
Comfortable operating across the full spectrum from advisory to embedded delivery.
Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
Experience with trace mining to drive continuous improvement loops
Remote
$150,000-$215,000 base + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
","descriptionPlain":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.\n\n - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.\n\n - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.\n\n - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.\n\n - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.\n\n\nREQUIREMENTS\n\n - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.\n\n - 2+ years of hands-on experience building and shipping production agent systems.\n\n - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).\n\n - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).\n\n - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.\n\n - Comfortable operating across the full spectrum from advisory to embedded delivery.\n\n\nNICE TO HAVE\n\n - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.\n\n - Experience with trace mining to drive continuous improvement loops\n\n\nLOCATION\n\nRemote\n\n\n\n\nCOMPENSATION\n\n$150,000-$215,000 base + equity\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more."}],"apiVersion":"1"}