Join us and help shape the future of AI by defining the narrative around document understanding.
The Infra team at LlamaIndex owns the foundations that our product is built upon as well as many of the tools that enable engineers to develop, ship, and observe their code. We are responsible for designing, building, and scaling core infrastructure that powers a high-volume data platform for AI applications. We are looking for team members who love building enabling systems that empower our engineers and power our rapidly growing product.
We’re looking for folks with experience managing cloud infrastructure, working through various stages of scale, and helping the broader Engineering team be more effective and productive. Some traits that are important to our company culture: customer-obsessed, collaborative, hard-working, and optimistic. And we’re looking for owners, so we hope you’ll help us expand this list.
Collaborate with other engineering teams to build and maintain foundational systems that empower developers and support the company's rapid growth.
Design and implement scalable infrastructure solutions for various deployment models, including SaaS, single-tenant, and private deployments.
Manage and optimize cloud resources and Kubernetes clusters for cost-effectiveness and performance.
Enable external customer deployment success through maintaining clear infrastructure boundaries and principles.
Optimize and improve the release and deployment processes to enhance efficiency and reliability.
Ensure compliance with relevant regulations and implement robust security measures across different deployment environments.
Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and the reliable execution of agentic workflows.
8+ years of engineering experience.
Worked on Platform or Infrastructure teams on significant projects involving infrastructure components (Terraform/CDKTF, Kubernetes, Helm, test infrastructure, release management, observability, etc.)
Experience in optimizing cloud resource utilization.
Proficient in tuning Kubernetes clusters and cloud resources for cost and performance efficiency.
Willing to build LlamaIndex’s engineering culture as we grow.
You can balance speed and pragmatism and build the appropriate solutions for each stage of the company’s growth.
Hands-on proficiency with modern LLM tooling and production AI systems, including experience with model APIs, agent or RAG frameworks, evaluation and tracing tools, and the operational characteristics of LLM workloads.
Experience building out infrastructure from the ground up at a fast-growing startup.
Experience with observability tools like Prometheus, Grafana, and New Relic.
Experience with GitOps tools like ArgoCD and Flux for continuous deployment.
Experience with security compliance and audits in cloud environments such as SOC2.
Familiar with Python, Postgres, multi-cloud deployments
We offer a hybrid-friendly culture based out of our downtown San Francisco office.
Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.
Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.
Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.
Competitive base salary and equity compensation
Comprehensive medical/dental/vision coverage for you and your family
Unlimited paid time off policy
Daily catered lunch and snacks in the San Francisco office
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nThe Infra team at LlamaIndex owns the foundations that our product is built upon as well as many of the tools that enable engineers to develop, ship, and observe their code. We are responsible for designing, building, and scaling core infrastructure that powers a high-volume data platform for AI applications. We are looking for team members who love building enabling systems that empower our engineers and power our rapidly growing product.\n\n\n\nWe’re looking for folks with experience managing cloud infrastructure, working through various stages of scale, and helping the broader Engineering team be more effective and productive. Some traits that are important to our company culture: customer-obsessed, collaborative, hard-working, and optimistic. And we’re looking for owners, so we hope you’ll help us expand this list.\n\n\n\n\nRESPONSIBILITIES\n\n - Collaborate with other engineering teams to build and maintain foundational systems that empower developers and support the company's rapid growth.\n\n - Design and implement scalable infrastructure solutions for various deployment models, including SaaS, single-tenant, and private deployments.\n\n - Manage and optimize cloud resources and Kubernetes clusters for cost-effectiveness and performance.\n\n - Enable external customer deployment success through maintaining clear infrastructure boundaries and principles.\n\n - Optimize and improve the release and deployment processes to enhance efficiency and reliability.\n\n - Ensure compliance with relevant regulations and implement robust security measures across different deployment environments.\n\n - Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and the reliable execution of agentic workflows.\n\n\nQUALIFICATIONS\n\n - 8+ years of engineering experience.\n\n - Worked on Platform or Infrastructure teams on significant projects involving infrastructure components (Terraform/CDKTF, Kubernetes, Helm, test infrastructure, release management, observability, etc.)\n\n - Experience in optimizing cloud resource utilization. \n\n - Proficient in tuning Kubernetes clusters and cloud resources for cost and performance efficiency.\n\n - Willing to build LlamaIndex’s engineering culture as we grow.\n\n - You can balance speed and pragmatism and build the appropriate solutions for each stage of the company’s growth.\n\n - Hands-on proficiency with modern LLM tooling and production AI systems, including experience with model APIs, agent or RAG frameworks, evaluation and tracing tools, and the operational characteristics of LLM workloads.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience building out infrastructure from the ground up at a fast-growing startup.\n\n - Experience with observability tools like Prometheus, Grafana, and New Relic.\n\n - Experience with GitOps tools like ArgoCD and Flux for continuous deployment.\n\n - Experience with security compliance and audits in cloud environments such as SOC2.\n\n - Familiar with Python, Postgres, multi-cloud deployments\n\n\nLOCATION\n\nWe offer a hybrid-friendly culture based out of our downtown San Francisco office. \n\n\n\n\nWHY JOIN US?\n\n - Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.\n\n - Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.\n\n - Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.\n\n\n\n\nADDITIONAL BENEFITS\n\n - Competitive base salary and equity compensation\n\n - Comprehensive medical/dental/vision coverage for you and your family\n\n - Unlimited paid time off policy\n\n - Daily catered lunch and snacks in the San Francisco office\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"a2f14066-9e18-4da3-8861-2da3230e393c","title":"Member of Technical Staff, Backend","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-06-07T12:50:38.081+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/a2f14066-9e18-4da3-8861-2da3230e393c","applyUrl":"https://jobs.ashbyhq.com/llamaindex/a2f14066-9e18-4da3-8861-2da3230e393c/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex's backend application platform team is hiring for an experienced (4+ years) backend engineer excited to build new features and scale out our ingestion and AI systems! LlamaIndex is backed by Greylock and has grow significantly in the last year from a combination of open source and private enterprise interest. Our teams and positions offer terrific growth and ownership opportunities as we expand our engineering team to power our next phase of growth!
[Primary] Build out new features and scale our backend capabilities focused scaling out our core APIs
Backend stack: Python, Node.JS, K8s, Terraform, Postgres, Temporal, etc.
[Secondary] Work closely with prospects and customers to build production solutions.
Experience with shipping completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.
Shipped or otherwise interested in AI/LLM-native applications.
Iterated rapidly with customers or other engineers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.
Shipped applications at scale
We offer a hybrid-friendly culture based out of our downtown San Francisco office.
Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.
Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.
Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.
Competitive base salary and equity compensation
Comprehensive medical/dental/vision coverage for you and your family
Unlimited paid time off policy
Daily catered lunch and snacks in the San Francisco office
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nLlamaIndex's backend application platform team is hiring for an experienced (4+ years) backend engineer excited to build new features and scale out our ingestion and AI systems! LlamaIndex is backed by Greylock and has grow significantly in the last year from a combination of open source and private enterprise interest. Our teams and positions offer terrific growth and ownership opportunities as we expand our engineering team to power our next phase of growth!\n\n\n\n\nRESPONSIBILITIES\n\n - [Primary] Build out new features and scale our backend capabilities focused scaling out our core APIs\n \n - Backend stack: Python, Node.JS, K8s, Terraform, Postgres, Temporal, etc.\n\n - [Secondary] Work closely with prospects and customers to build production solutions.\n\n\n\n\nQUALIFICATIONS\n\n - Experience with shipping completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time.\n\n - Shipped or otherwise interested in AI/LLM-native applications.\n\n - Iterated rapidly with customers or other engineers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features.\n\n - Shipped applications at scale\n\n\nLOCATION\n\nWe offer a hybrid-friendly culture based out of our downtown San Francisco office. \n\n\n\n\nWHY JOIN US?\n\n - Impactful Mission: Work on innovative AI products that redefine how knowledge is accessed and utilized.\n\n - Collaborative Team: Join a team of passionate individuals committed to pushing the boundaries of technology.\n\n - Growth Opportunities: Be at the forefront of the AI revolution, with ample opportunities to grow alongside our scaling organization.\n\n\n\n\nADDITIONAL BENEFITS\n\n - Competitive base salary and equity compensation\n\n - Comprehensive medical/dental/vision coverage for you and your family\n\n - Unlimited paid time off policy\n\n - Daily catered lunch and snacks in the San Francisco office\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"36a0249e-a672-44df-a08e-b5a5523dec26","title":"AI Content Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-30T23:25:30.256+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/36a0249e-a672-44df-a08e-b5a5523dec26","applyUrl":"https://jobs.ashbyhq.com/llamaindex/36a0249e-a672-44df-a08e-b5a5523dec26/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding.
This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.
Design, build, and maintain comprehensive benchmarks for document parsing and understanding
Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials)
Stay deeply current with the document AI landscape - new models, papers, competitors, techniques
Run experiments and translate findings into publishable artifacts quickly
Produce technical analyses that demonstrate our capabilities against alternatives
Contribute to open-source examples, notebooks, and documentation
Collaborate with the core ML team to surface improvements and capabilities worth highlighting
Engage authentically with the developer community through technical content (not conferences/events)
Experience in software engineering (ML engineering + research a bonus)
Strong software engineering fundamentals with production Python experience
Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning
Demonstrated ability to write clearly, quickly, and authentically about technical topics
Bias toward shipping - comfortable publishing at blog pace, not paper pace
Ability to read, understand, and synthesize research papers rapidly
Scrappy and self-directed - can identify what's worth writing about and execute end-to-end
Track record of high-velocity output in fast-paced environments
Experience with vision-language models, transformer architectures, or document AI specifically
Existing portfolio of technical writing (blog posts, tutorials, technical documentation)
Experience building evaluation frameworks or benchmarks
Familiarity with OCR, layout analysis, table extraction, or document structure understanding
Active presence in ML/AI technical communities
Experience with LLM applications and RAG systems
In-person in San Francisco.
Shape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception.
Technical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities.
High Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains.
Growth Opportunity: Help build this function from the ground up as we scale.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding.\n\nThis is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.\n\n\n\n\nRESPONSIBILITIES\n\n - Design, build, and maintain comprehensive benchmarks for document parsing and understanding\n\n - Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials)\n\n - Stay deeply current with the document AI landscape - new models, papers, competitors, techniques\n\n - Run experiments and translate findings into publishable artifacts quickly\n\n - Produce technical analyses that demonstrate our capabilities against alternatives\n\n - Contribute to open-source examples, notebooks, and documentation\n\n - Collaborate with the core ML team to surface improvements and capabilities worth highlighting\n\n - Engage authentically with the developer community through technical content (not conferences/events)\n\n\nREQUIRED QUALIFICATIONS\n\n - Experience in software engineering (ML engineering + research a bonus)\n\n - Strong software engineering fundamentals with production Python experience\n\n - Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning\n\n - Demonstrated ability to write clearly, quickly, and authentically about technical topics\n\n - Bias toward shipping - comfortable publishing at blog pace, not paper pace\n\n - Ability to read, understand, and synthesize research papers rapidly\n\n - Scrappy and self-directed - can identify what's worth writing about and execute end-to-end\n\n - Track record of high-velocity output in fast-paced environments\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with vision-language models, transformer architectures, or document AI specifically\n\n - Existing portfolio of technical writing (blog posts, tutorials, technical documentation)\n\n - Experience building evaluation frameworks or benchmarks\n\n - Familiarity with OCR, layout analysis, table extraction, or document structure understanding\n\n - Active presence in ML/AI technical communities\n\n - Experience with LLM applications and RAG systems\n\n\nLOCATION\n\nIn-person in San Francisco.\n\n\n\n\nWHY JOIN US?\n\nShape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception.\n\nTechnical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities.\n\nHigh Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains.\n\nGrowth Opportunity: Help build this function from the ground up as we scale.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"927fc367-c22b-47aa-817d-e1f4810149a7","title":"Enterprise Account Executive - EMEA","department":"Sales","team":"Sales","employmentType":"FullTime","location":"London, UK","secondaryLocations":[],"publishedAt":"2026-03-25T23:36:43.722+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/927fc367-c22b-47aa-817d-e1f4810149a7","applyUrl":"https://jobs.ashbyhq.com/llamaindex/927fc367-c22b-47aa-817d-e1f4810149a7/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
We are seeking an Enterprise Account Executive to drive new customer acquisition and revenue growth. In this role, you will own the full enterprise sales cycle—sourcing, engaging, and closing deals with global enterprises adopting our AI platform. You will partner with technical teams internally and externally, navigating complex organizations and ensuring our solutions align with customer priorities.
Source, develop, and close new enterprise logo accounts.
Build and manage executive-level relationships, including champions and decision-makers.
Lead discovery, value-driven sales cycles, and enterprise negotiations.
Collaborate with Forward Deployed Engineers and product specialists to run tight POCs based on success criteria.
Prioritize and advance opportunities effectively from lead to close to drive repeatable bookings.
Consistently achieve or exceed ARR and pipeline targets.
Provide structured customer feedback to influence product roadmap and go-to-market strategy.
Represent LlamaIndex at industry events, conferences, and customer workshops.
5+ years of closing experience in enterprise SaaS sales with a top-performer track record.
Proven ability to sell into complex organizations and navigate multi-threaded deals.
Demonstrated success in net-new logo acquisition and expansion (land-and-expand motion).
Experience selling technical SaaS platforms (AI, developer tools, OSS, or infrastructure strongly preferred).
Fluency in value-based selling, MEDDIC, Challenger, or similar methodologies.
Ability to collaborate across functions (SEs, FDEs, Product, Leadership) to close strategic deals.
Strong executive presence and comfort selling to VP- and C-level stakeholders.
Startup experience: Success operating in <100 employee companies, ideally as one of the first 10 sales hires, thriving in ambiguous and resource-constrained environments.
Experience selling AI/ML, document intelligence, data infrastructure, or orchestration products.
Familiarity with developer-first sales cycles and technical POCs.
Track record of multi-year, high-ACV enterprise deals.
Knowledge of APIs, integrations, security, and compliance in enterprise SaaS.
Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
Collaborative Team: Join a team of experts driving the future of AI.
Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.
Growth Opportunities: Build your career as we scale at the frontier of enterprise AI.
Hybrid in London, England, UK.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking an Enterprise Account Executive to drive new customer acquisition and revenue growth. In this role, you will own the full enterprise sales cycle—sourcing, engaging, and closing deals with global enterprises adopting our AI platform. You will partner with technical teams internally and externally, navigating complex organizations and ensuring our solutions align with customer priorities.\n\n\n\n\nRESPONSIBILITIES\n\n - Source, develop, and close new enterprise logo accounts.\n\n - Build and manage executive-level relationships, including champions and decision-makers.\n\n - Lead discovery, value-driven sales cycles, and enterprise negotiations.\n\n - Collaborate with Forward Deployed Engineers and product specialists to run tight POCs based on success criteria.\n\n - Prioritize and advance opportunities effectively from lead to close to drive repeatable bookings.\n\n - Consistently achieve or exceed ARR and pipeline targets.\n\n - Provide structured customer feedback to influence product roadmap and go-to-market strategy.\n\n - Represent LlamaIndex at industry events, conferences, and customer workshops.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - 5+ years of closing experience in enterprise SaaS sales with a top-performer track record.\n\n - Proven ability to sell into complex organizations and navigate multi-threaded deals.\n\n - Demonstrated success in net-new logo acquisition and expansion (land-and-expand motion).\n\n - Experience selling technical SaaS platforms (AI, developer tools, OSS, or infrastructure strongly preferred).\n\n - Fluency in value-based selling, MEDDIC, Challenger, or similar methodologies.\n\n - Ability to collaborate across functions (SEs, FDEs, Product, Leadership) to close strategic deals.\n\n - Strong executive presence and comfort selling to VP- and C-level stakeholders.\n\n - Startup experience: Success operating in <100 employee companies, ideally as one of the first 10 sales hires, thriving in ambiguous and resource-constrained environments.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience selling AI/ML, document intelligence, data infrastructure, or orchestration products.\n\n - Familiarity with developer-first sales cycles and technical POCs.\n\n - Track record of multi-year, high-ACV enterprise deals.\n\n - Knowledge of APIs, integrations, security, and compliance in enterprise SaaS.\n\n\n\n\nWHY JOIN US?\n\n - Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.\n\n - Collaborative Team: Join a team of experts driving the future of AI.\n\n - Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.\n\n - Growth Opportunities: Build your career as we scale at the frontier of enterprise AI.\n\n\n\n\nLOCATION\n\nHybrid in London, England, UK.\n\n\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"0486163a-cb3a-4291-a18f-40a92389b7ad","title":"Mid-Market Account Executive","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-25T02:32:05.662+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/0486163a-cb3a-4291-a18f-40a92389b7ad","applyUrl":"https://jobs.ashbyhq.com/llamaindex/0486163a-cb3a-4291-a18f-40a92389b7ad/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
We are seeking a Mid-Market Account Executive to own the full sales cycle for companies under 500 employees adopting our AI platform. In this role, you will source, develop, and close deals with technical and business buyers at high-growth companies — converting inbound interest, OSS community signals, and outbound prospecting into new ARR. You will work closely with your manager and cross-functional teammates to run tight, efficient sales cycles and build the mid-market motion from the ground up.
Own the full sales cycle — prospecting, discovery, evaluation, negotiation, and close — for accounts under 500 employees.
Source and develop your own pipeline through outbound prospecting, OSS community signals, and partner referrals.
Run structured discovery to uncover technical requirements, business pain, and decision criteria.
Navigate multi-threaded deals involving technical evaluators, economic buyers, and end users.
Collaborate with Solutions Engineers and Forward Deployed Engineers to run focused POCs tied to clear success criteria.
Consistently achieve or exceed ARR and pipeline targets.
Maintain accurate CRM hygiene and deliver reliable forecast calls weekly.
Provide customer and market feedback to influence messaging, packaging, and product roadmap.
Represent LlamaIndex at industry events and in developer communities where our buyers live.
2–5 years of full-cycle SaaS sales experience with a consistent track record of quota attainment.
Proven ability to prospect and build pipeline independently — not solely dependent on inbound.
Experience selling to technical buyers including engineers, data teams, or developer personas.
Comfort navigating deals at companies with fast decision cycles and limited procurement overhead.
Familiarity with deal qualification frameworks (MEDDIC or equivalent) and value-based selling.
Startup experience: Ability to operate with minimal process, build your own playbook, and thrive in an ambiguous, resource-constrained environment.
Strong written and verbal communication — crisp discovery, sharp follow-up, clear emails.
AI-first operator: actively uses AI tools for account research, call prep, outreach, and pipeline management.
Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.
Familiarity with technical POC cycles and build-vs-buy conversations with engineering teams.
Prior experience at a company with an OSS or community-led growth motion.
Track record of landing net-new logos and expanding initial contracts.
Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
Collaborative Team: Join a team of experts driving the future of AI.
Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.
Growth Opportunities: Get in early on a high-growth mid-market motion with a direct path to senior AE or management as we scale.
San Francisco, CA.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a Mid-Market Account Executive to own the full sales cycle for companies under 500 employees adopting our AI platform. In this role, you will source, develop, and close deals with technical and business buyers at high-growth companies — converting inbound interest, OSS community signals, and outbound prospecting into new ARR. You will work closely with your manager and cross-functional teammates to run tight, efficient sales cycles and build the mid-market motion from the ground up.\n\n\n\n\nRESPONSIBILITIES\n\n - Own the full sales cycle — prospecting, discovery, evaluation, negotiation, and close — for accounts under 500 employees.\n\n - Source and develop your own pipeline through outbound prospecting, OSS community signals, and partner referrals.\n\n - Run structured discovery to uncover technical requirements, business pain, and decision criteria.\n\n - Navigate multi-threaded deals involving technical evaluators, economic buyers, and end users.\n\n - Collaborate with Solutions Engineers and Forward Deployed Engineers to run focused POCs tied to clear success criteria.\n\n - Consistently achieve or exceed ARR and pipeline targets.\n\n - Maintain accurate CRM hygiene and deliver reliable forecast calls weekly.\n\n - Provide customer and market feedback to influence messaging, packaging, and product roadmap.\n\n - Represent LlamaIndex at industry events and in developer communities where our buyers live.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - 2–5 years of full-cycle SaaS sales experience with a consistent track record of quota attainment.\n\n - Proven ability to prospect and build pipeline independently — not solely dependent on inbound.\n\n - Experience selling to technical buyers including engineers, data teams, or developer personas.\n\n - Comfort navigating deals at companies with fast decision cycles and limited procurement overhead.\n\n - Familiarity with deal qualification frameworks (MEDDIC or equivalent) and value-based selling.\n\n - Startup experience: Ability to operate with minimal process, build your own playbook, and thrive in an ambiguous, resource-constrained environment.\n\n - Strong written and verbal communication — crisp discovery, sharp follow-up, clear emails.\n\n - AI-first operator: actively uses AI tools for account research, call prep, outreach, and pipeline management.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.\n\n - Familiarity with technical POC cycles and build-vs-buy conversations with engineering teams.\n\n - Prior experience at a company with an OSS or community-led growth motion.\n\n - Track record of landing net-new logos and expanding initial contracts.\n\n\n\n\nWHY JOIN US?\n\n - Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.\n\n - Collaborative Team: Join a team of experts driving the future of AI.\n\n - Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.\n\n - Growth Opportunities: Get in early on a high-growth mid-market motion with a direct path to senior AE or management as we scale.\n\n\n\n\nLOCATION\n\nSan Francisco, CA.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"b0a0e9d0-9826-46c5-b3a6-8ef3feb9cd9d","title":"Developer Evangelist, Technical Content","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-21T17:33:29.414+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/b0a0e9d0-9826-46c5-b3a6-8ef3feb9cd9d","applyUrl":"https://jobs.ashbyhq.com/llamaindex/b0a0e9d0-9826-46c5-b3a6-8ef3feb9cd9d/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.
We're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.
This is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.
We see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.
Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.
Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.
Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.
Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.
Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.
Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.
A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.
Strong, consistent presence on social media, with a track record of technical content developers find useful.
Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.
Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.
Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.
Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.
Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.
Existing audience or reputation in the AI or developer community.
Experience speaking at or organizing developer conferences and hackathons.
Video production or livestreaming skills.
Hands-on experience with document-heavy AI use cases.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT LLAMAINDEX\n\nLlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.\n\nThis is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.\n\nWe see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.\n\n\n\n\nWHAT YOU'LL DO\n\n - Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.\n\n - Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.\n\n - Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.\n\n - Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.\n\n - Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.\n\n - Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.\n\n - Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.\n\n\nWHAT WE'RE LOOKING FOR\n\n - A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.\n\n - Strong, consistent presence on social media, with a track record of technical content developers find useful.\n\n - Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.\n\n - Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.\n\n - Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.\n\n - Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.\n\n - Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.\n\n\nNICE TO HAVE\n\n - Existing audience or reputation in the AI or developer community.\n\n - Experience speaking at or organizing developer conferences and hackathons.\n\n - Video production or livestreaming skills.\n\n - Hands-on experience with document-heavy AI use cases.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"ee009847-6f1d-42f5-ab9f-805072f7a3e9","title":"Developer Evangelist, Growth","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-21T17:59:34.742+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/ee009847-6f1d-42f5-ab9f-805072f7a3e9","applyUrl":"https://jobs.ashbyhq.com/llamaindex/ee009847-6f1d-42f5-ab9f-805072f7a3e9/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.
We're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.
This is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.
We see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.
Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.
Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.
Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.
Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.
Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.
Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.
Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.
A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.
Strong, consistent presence on social media, with a track record of technical content developers find useful.
Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.
Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.
Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.
Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.
Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.
Existing audience or reputation in the AI or developer community.
Experience speaking at or organizing developer conferences and hackathons.
Video production or livestreaming skills.
Hands-on experience with document-heavy AI use cases.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT LLAMAINDEX\n\nLlamaIndex builds LlamaParse, the world's best agentic OCR and document parsing engine for AI applications. Enterprises and developers use LlamaParse to turn their hardest documents, including dense PDFs, scanned files, tables, and forms, into clean structured data their AI systems can actually use, at a scale of millions of pages a day. Document ingestion is one of the most underestimated problems in AI, and LlamaParse is how teams solve it.\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Developer Advocate to be the public face of LlamaParse, out in the world in front of real developers and real teams, showing what the product can do.\n\nThis is a role for someone who does their best work in person and on camera. You'll spend your time at events, running demos, and posting on social media, and you'll evangelize the product by showing it in action: real documents going in, real structured data coming out. The most convincing thing you can do is share concrete, lived experience that makes developers want to try LlamaParse themselves.\n\nWe see this as an open-level role. We care far more about how compelling you are in a room and how well you can demo a product than about years on a résumé.\n\n\n\n\nWHAT YOU'LL DO\n\n - Get out into the world. Represent LlamaParse at conferences, meetups, hackathons, and workshops by speaking, demoing live, and meeting developers and teams face to face. This is the core of the job.\n\n - Evangelize the product through real experiences. Walk through actual document-parsing problems, show LlamaParse handling messy real-world files, and tell the stories of how teams use it in production.\n\n - Be highly active and visible on social media, including X, LinkedIn, and YouTube. Post demos, before-and-after parsing examples, launch content, and threads that show developers what LlamaParse does.\n\n - Create technical content across formats, including video walkthroughs, livestreams, blog posts, and conference talks, all centered on LlamaParse and the document-ingestion problem.\n\n - Build sharp, convincing demos and example apps that prove the product on hard, realistic documents.\n\n - Partner with product and engineering on LlamaParse launches so every release lands with content and demos that drive adoption.\n\n - Stay close enough to the developer community to answer questions and bring feedback back to the team. This is a steady part of the role, though the focus of the job is being out evangelizing.\n\n\nWHAT WE'RE LOOKING FOR\n\n - A natural evangelist. You like being on stage, on camera, and in the room, and you can make a technical product genuinely interesting to watch.\n\n - Strong, consistent presence on social media, with a track record of technical content developers find useful.\n\n - Real enthusiasm for events, including speaking, live demos, and travel, and a knack for being approachable and memorable in person.\n\n - Enough technical depth to build with LlamaParse and write working code in Python and/or TypeScript, so your demos are real and your credibility is earned.\n\n - Clear technical communication. You can explain document parsing and structured extraction to a beginner and to a senior engineer.\n\n - Working knowledge of the AI application landscape, including LLMs, RAG, OCR, and document pipelines.\n\n - Based in or willing to be in the San Francisco Bay Area for a hybrid schedule, with real willingness to travel for events.\n\n\nNICE TO HAVE\n\n - Existing audience or reputation in the AI or developer community.\n\n - Experience speaking at or organizing developer conferences and hackathons.\n\n - Video production or livestreaming skills.\n\n - Hands-on experience with document-heavy AI use cases.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"0b618d29-e04c-44d9-a2d4-d403e6e88ce8","title":"Don’t See Your Role?","department":"General","team":"General","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-08T19:49:37.747+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/0b618d29-e04c-44d9-a2d4-d403e6e88ce8","applyUrl":"https://jobs.ashbyhq.com/llamaindex/0b618d29-e04c-44d9-a2d4-d403e6e88ce8/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
Don’t see a role that feels like the right fit? We’d still love to hear from you. Submit your application here, and we’ll keep you in mind as new opportunities open up!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\nDon’t see a role that feels like the right fit? We’d still love to hear from you. Submit your application here, and we’ll keep you in mind as new opportunities open up! \n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"5ef32675-090d-4eb2-bca0-ddb6fbde0215","title":"Member of Technical Staff, Applied Research","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-08T01:11:47.282+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/5ef32675-090d-4eb2-bca0-ddb6fbde0215","applyUrl":"https://jobs.ashbyhq.com/llamaindex/5ef32675-090d-4eb2-bca0-ddb6fbde0215/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
We are looking for an AI Research Engineer to join our document understanding team.
This role is ideal for someone who sits between applied research and strong engineering. You will work on vision-language models, document processing, data curation, synthetic data generation, benchmarking, training, fine-tuning, and post-training. The goal is simple: make our document AI systems more accurate, faster, and more cost-effective in production.
You should be excited by frontier AI work, but equally motivated by practical product impact. This is not a pure research role where ideas stay in papers. You will be expected to prototype quickly, evaluate rigorously, and help turn promising approaches into production systems used by customers.
Develop and train vision-language models for document processing and document understanding.
Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation.
Evaluate base models and perform post-training or fine-tuning to hit specific performance targets.
Improve model accuracy, latency, and cost-effectiveness across real-world document workflows.
Design and maintain benchmarks to measure extraction quality, layout understanding, OCR performance, reasoning accuracy, and end-to-end system reliability.
Work with messy real-world documents, including PDFs, scanned documents, tables, charts, forms, and multi-page enterprise documents.
Collaborate with engineering to move successful research prototypes into production.
Work directly with customers when needed to translate product requirements into benchmarks, experiments, and model improvements.
Stay close to the latest research in vision-language models, document AI, post-training, synthetic data, and agentic systems.
Use modern AI coding workflows and tools to move quickly.
3–7 years of experience in machine learning engineering, applied research, or research engineering.
Strong ML foundation, including hands-on experience benchmarking and training models.
Strong Python skills and comfort with modern ML tooling, especially PyTorch.
Experience with computer vision, vision-language models, NLP, document AI, OCR, extraction, or agentic AI systems.
Ability to build experiments, evaluate results, and iterate quickly toward measurable performance improvements.
Strong engineering judgment and ability to write clean, production-quality code.
Comfort working in a fast-paced startup environment with high ownership and limited structure.
Adaptable, scrappy, and self-directed — someone who can figure things out without waiting to be told.
Strong technical writing and communication skills.
Prior startup experience, especially at an early-stage or high-growth AI company.
Experience as a founder or early startup engineer.
Experience building or improving document processing systems.
Experience with synthetic data generation, post-training, fine-tuning, or benchmark design.
Familiarity with tools such as vLLM, Pydantic, uv, ruff, mypy, Claude Code, Cursor, or similar modern AI engineering workflows.
Experience with open-source AI infrastructure or developer tools.
You will work closely with the CTO and the document understanding team, partnering across research, engineering, product, and customer-facing teams.
Work on a core AI infrastructure problem: making complex documents understandable and actionable for AI systems.
Build production systems at the frontier of vision-language models and document AI.
Join a fast-growing startup with strong open-source adoption and commercial traction.
Work directly with technical founders and a highly ambitious engineering team.
Have real ownership over model quality, product capability, and technical direction.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for an AI Research Engineer to join our document understanding team.\n\nThis role is ideal for someone who sits between applied research and strong engineering. You will work on vision-language models, document processing, data curation, synthetic data generation, benchmarking, training, fine-tuning, and post-training. The goal is simple: make our document AI systems more accurate, faster, and more cost-effective in production.\n\nYou should be excited by frontier AI work, but equally motivated by practical product impact. This is not a pure research role where ideas stay in papers. You will be expected to prototype quickly, evaluate rigorously, and help turn promising approaches into production systems used by customers.\n\n\n\n\nWHAT YOU’LL DO\n\n - Develop and train vision-language models for document processing and document understanding.\n\n - Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation.\n\n - Evaluate base models and perform post-training or fine-tuning to hit specific performance targets.\n\n - Improve model accuracy, latency, and cost-effectiveness across real-world document workflows.\n\n - Design and maintain benchmarks to measure extraction quality, layout understanding, OCR performance, reasoning accuracy, and end-to-end system reliability.\n\n - Work with messy real-world documents, including PDFs, scanned documents, tables, charts, forms, and multi-page enterprise documents.\n\n - Collaborate with engineering to move successful research prototypes into production.\n\n - Work directly with customers when needed to translate product requirements into benchmarks, experiments, and model improvements.\n\n - Stay close to the latest research in vision-language models, document AI, post-training, synthetic data, and agentic systems.\n\n - Use modern AI coding workflows and tools to move quickly.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 3–7 years of experience in machine learning engineering, applied research, or research engineering.\n\n - Strong ML foundation, including hands-on experience benchmarking and training models.\n\n - Strong Python skills and comfort with modern ML tooling, especially PyTorch.\n\n - Experience with computer vision, vision-language models, NLP, document AI, OCR, extraction, or agentic AI systems.\n\n - Ability to build experiments, evaluate results, and iterate quickly toward measurable performance improvements.\n\n - Strong engineering judgment and ability to write clean, production-quality code.\n\n - Comfort working in a fast-paced startup environment with high ownership and limited structure.\n\n - Adaptable, scrappy, and self-directed — someone who can figure things out without waiting to be told.\n\n - Strong technical writing and communication skills.\n\n\n\n\nNICE TO HAVE\n\n - Prior startup experience, especially at an early-stage or high-growth AI company.\n\n - Experience as a founder or early startup engineer.\n\n - Experience building or improving document processing systems.\n\n - Experience with synthetic data generation, post-training, fine-tuning, or benchmark design.\n\n - Familiarity with tools such as vLLM, Pydantic, uv, ruff, mypy, Claude Code, Cursor, or similar modern AI engineering workflows.\n\n - Experience with open-source AI infrastructure or developer tools.\n\n\n\n\nWHO YOU’LL WORK WITH\n\nYou will work closely with the CTO and the document understanding team, partnering across research, engineering, product, and customer-facing teams.\n\n\n\n\nWHY JOIN LLAMAINDEX\n\n - Work on a core AI infrastructure problem: making complex documents understandable and actionable for AI systems.\n\n - Build production systems at the frontier of vision-language models and document AI.\n\n - Join a fast-growing startup with strong open-source adoption and commercial traction.\n\n - Work directly with technical founders and a highly ambitious engineering team.\n\n - Have real ownership over model quality, product capability, and technical direction.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"a639c684-e602-4f10-a715-00fb9c7d5c58","title":"Business Development Representative (BDR)","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-20T23:58:30.471+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/a639c684-e602-4f10-a715-00fb9c7d5c58","applyUrl":"https://jobs.ashbyhq.com/llamaindex/a639c684-e602-4f10-a715-00fb9c7d5c58/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex is growing its Business Development team. In this role, you'll generate qualified meetings and pipeline for our Account Executive team through a mix of inbound MQLs, product-qualified leads (PQLs) from platform signups and usage signals, targeted outbound prospecting, and event-driven pipeline generation. You'll work closely with your paired AE(s) to turn that interest into qualified conversations with technical and business buyers evaluating LlamaIndex.
Qualify and work inbound MQLs and product-qualified leads (PQLs) surfaced from platform signups and usage signals.
Build and run targeted outbound campaigns to generate net-new pipeline.
Represent LlamaIndex at industry events and developer meetups, turning conversations into qualified meetings.
Research accounts and identify the right contacts, targeting technical and business buyers, including engineers, data teams, and AI/product leaders.
Build and test outbound messaging across channels, iterating on what actually gets replies.
Partner closely with your paired Account Executive(s) on account strategy and handoff.
Hit weekly meeting and pipeline-generation targets.
Use AI tools to speed up account research, message drafting, and prospect enrichment.
Keep CRM records accurate on outreach, meetings booked, and lead status.
6–24 months in a BDR/SDR or pipeline-generation role, with some evidence of self-sourced meetings, not purely inbound.
Comfortable reaching out to and qualifying technical buyers, including engineers, data, and AI/ML personas.
Strong written communication. Outreach that reads like a person wrote it, not a template.
AI-first: active user of ChatGPT, Claude, or similar for research, prospecting, and outreach drafting.
Experience at a startup or high-growth company, ideally technical SaaS, developer tools, data infrastructure, or AI/ML products.
Experience working a mix of inbound and outbound pipeline generation.
Exposure to product-led growth motions (PQLs, self-serve signups) is a plus.
Early Stage, Real Impact: Join early and help shape how we generate pipeline, not just execute a fixed script.
Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.
Direct Path to Growth: A clear track to Mid-Market Account Executive as you grow in the role.
Real Ownership: Own your accounts, your messaging, and your pipeline math end to end.
San Francisco, CA.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nLlamaIndex is growing its Business Development team. In this role, you'll generate qualified meetings and pipeline for our Account Executive team through a mix of inbound MQLs, product-qualified leads (PQLs) from platform signups and usage signals, targeted outbound prospecting, and event-driven pipeline generation. You'll work closely with your paired AE(s) to turn that interest into qualified conversations with technical and business buyers evaluating LlamaIndex.\n\n\nRESPONSIBILITIES\n\n - Qualify and work inbound MQLs and product-qualified leads (PQLs) surfaced from platform signups and usage signals.\n\n - Build and run targeted outbound campaigns to generate net-new pipeline.\n\n - Represent LlamaIndex at industry events and developer meetups, turning conversations into qualified meetings.\n\n - Research accounts and identify the right contacts, targeting technical and business buyers, including engineers, data teams, and AI/product leaders.\n\n - Build and test outbound messaging across channels, iterating on what actually gets replies.\n\n - Partner closely with your paired Account Executive(s) on account strategy and handoff.\n\n - Hit weekly meeting and pipeline-generation targets.\n\n - Use AI tools to speed up account research, message drafting, and prospect enrichment.\n\n - Keep CRM records accurate on outreach, meetings booked, and lead status.\n\n\nREQUIRED QUALIFICATIONS\n\n - 6–24 months in a BDR/SDR or pipeline-generation role, with some evidence of self-sourced meetings, not purely inbound.\n\n - Comfortable reaching out to and qualifying technical buyers, including engineers, data, and AI/ML personas.\n\n - Strong written communication. Outreach that reads like a person wrote it, not a template.\n\n - AI-first: active user of ChatGPT, Claude, or similar for research, prospecting, and outreach drafting.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience at a startup or high-growth company, ideally technical SaaS, developer tools, data infrastructure, or AI/ML products.\n\n - Experience working a mix of inbound and outbound pipeline generation.\n\n - Exposure to product-led growth motions (PQLs, self-serve signups) is a plus.\n\n\nWHY JOIN US?\n\n - Early Stage, Real Impact: Join early and help shape how we generate pipeline, not just execute a fixed script.\n\n - Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.\n\n - Direct Path to Growth: A clear track to Mid-Market Account Executive as you grow in the role.\n\n - Real Ownership: Own your accounts, your messaging, and your pipeline math end to end.\n\n\nLOCATION\n\nSan Francisco, CA.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."},{"id":"0492125b-7a1a-4b60-a8c9-feda326ff8a4","title":"Enterprise Account Executive - Digital Native","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-21T00:09:20.481+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/llamaindex/0492125b-7a1a-4b60-a8c9-feda326ff8a4","applyUrl":"https://jobs.ashbyhq.com/llamaindex/0492125b-7a1a-4b60-a8c9-feda326ff8a4/application","descriptionHtml":"Join us and help shape the future of AI by defining the narrative around document understanding.
LlamaIndex is hiring an Enterprise Account Executive to own strategic sales into high-growth, AI-native software companies. This is a multi-motion role. You'll run targeted top-down outbound into executive and technical buyers, build bottoms-up momentum with technical ICs and engineering teams already touching our product through self-serve usage, and convert consumption signals into qualified pipeline. You'll land a first use case, prove value through a focused technical evaluation, and expand the account from there.
Run full-cycle enterprise sales into high-growth, AI-native software companies, from first outbound touch through close and expansion.
Build and execute targeted top-down outbound campaigns into executive and technical buyers at target accounts.
Identify and develop bottoms-up champions among technical ICs, engineers, and platform teams already using our product or open-source framework.
Turn product-usage and technical signals into qualified pipeline and expansion, rather than waiting on inbound alone.
Own technical, multi-call sales cycles with engineering and platform teams, often involving a proof of concept.
Partner credibly with technical buyers on build-versus-buy questions and scope evaluations that prove real value quickly.
Land a first use case and grow the account over time. Think in terms of expansion, not one-and-done deals.
Maintain accurate CRM hygiene and deliver reliable weekly forecast calls.
Use AI tools to speed up account research, prospecting, and deal preparation.
4+ years of full-cycle enterprise SaaS sales experience with a track record of quota attainment.
Demonstrated ability to run both outbound-generated and product-led pipeline, not solely dependent on inbound.
Experience selling to technical buyers, including engineers, platform teams, and AI/ML leaders, alongside executive economic buyers.
Experience running technical evaluations or proofs of concept and navigating build-versus-buy conversations.
Comfortable operating with minimal process in a fast-moving, early-category environment.
Strong written and verbal communication. Able to explain complex technical products and deal strategy clearly.
AI-first operator: actively uses AI tools for account research, deal prep, outreach, and pipeline management.
Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.
Experience in a consumption-based or usage-based pricing motion.
Track record of landing net-new logos and expanding initial contracts into larger account relationships.
Prior experience at a company with an open-source or community-led growth motion.
Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.
Multiple Ways In: Work accounts top-down, bottoms-up, and through product usage, not a single fixed motion.
Growth Opportunities: Get in early on a high-growth enterprise motion with room to grow as we scale.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
","descriptionPlain":"Join us and help shape the future of AI by defining the narrative around document understanding.\n\n\n\n\nABOUT THE ROLE\n\nLlamaIndex is hiring an Enterprise Account Executive to own strategic sales into high-growth, AI-native software companies. This is a multi-motion role. You'll run targeted top-down outbound into executive and technical buyers, build bottoms-up momentum with technical ICs and engineering teams already touching our product through self-serve usage, and convert consumption signals into qualified pipeline. You'll land a first use case, prove value through a focused technical evaluation, and expand the account from there.\n\n\n\n\nRESPONSIBILITIES\n\n - Run full-cycle enterprise sales into high-growth, AI-native software companies, from first outbound touch through close and expansion.\n\n - Build and execute targeted top-down outbound campaigns into executive and technical buyers at target accounts.\n\n - Identify and develop bottoms-up champions among technical ICs, engineers, and platform teams already using our product or open-source framework.\n\n - Turn product-usage and technical signals into qualified pipeline and expansion, rather than waiting on inbound alone.\n\n - Own technical, multi-call sales cycles with engineering and platform teams, often involving a proof of concept.\n\n - Partner credibly with technical buyers on build-versus-buy questions and scope evaluations that prove real value quickly.\n\n - Land a first use case and grow the account over time. Think in terms of expansion, not one-and-done deals.\n\n - Maintain accurate CRM hygiene and deliver reliable weekly forecast calls.\n\n - Use AI tools to speed up account research, prospecting, and deal preparation.\n\n\nREQUIRED QUALIFICATIONS\n\n - 4+ years of full-cycle enterprise SaaS sales experience with a track record of quota attainment.\n\n - Demonstrated ability to run both outbound-generated and product-led pipeline, not solely dependent on inbound.\n\n - Experience selling to technical buyers, including engineers, platform teams, and AI/ML leaders, alongside executive economic buyers.\n\n - Experience running technical evaluations or proofs of concept and navigating build-versus-buy conversations.\n\n - Comfortable operating with minimal process in a fast-moving, early-category environment.\n\n - Strong written and verbal communication. Able to explain complex technical products and deal strategy clearly.\n\n - AI-first operator: actively uses AI tools for account research, deal prep, outreach, and pipeline management.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.\n\n - Experience in a consumption-based or usage-based pricing motion.\n\n - Track record of landing net-new logos and expanding initial contracts into larger account relationships.\n\n - Prior experience at a company with an open-source or community-led growth motion.\n\n\nWHY JOIN US?\n\n - Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.\n\n - Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.\n\n - Multiple Ways In: Work accounts top-down, bottoms-up, and through product usage, not a single fixed motion.\n\n - Growth Opportunities: Get in early on a high-growth enterprise motion with room to grow as we scale.\n\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\n\n\nLlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes."}],"apiVersion":"1"}