Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We just shipped Fireworks Nexus: a drop-in platform that lets engineering organizations route their AI workloads off expensive proprietary models and onto high-performing open models like Kimi-K3 and GLM-5.2, without changing how a single developer works. The early numbers are the kind that change how an industry buys intelligence: 3–5x lower AI spend, roughly a third off the cost of every merged PR, and a blended token rate about a quarter of the closed labs, all while matching or beating frontier models on real engineering work from real customer repositories.
The context is simple. AI spend at serious engineering orgs is exploding, one company burned its entire annual AI budget in four months, and most of that money goes to running routine work at frontier prices. Open models just crossed the intelligence-cost curve. Nexus is how teams capture that, and we're building it in the open: FireConnect ships under Apache 2.0, installs in one line, and plugs straight into Claude Code, Codex, and OpenCode.
We're looking for a product-minded engineer to join as a Member of Technical Staff and own the surfaces that make this real: the intelligent router that scores and directs every request, the cost-observability and enterprise-control layers that give an org visibility over its entire AI footprint, the FireConnect integrations that make adoption a single command, and the core platform underneath; inference APIs, the developer console, and fine-tuning workflows.
This is a high-autonomy IC role on a small team building something that ships to production the day you write it, at a scale almost nowhere else can offer. You'll own features end to end — from understanding the problem, to designing the solution, to shipping it, to watching how developers actually use it. If you're the kind of engineer who ships things other people think are impossible, on timelines other people think are impossible, this is a place where that has enormous leverage and nothing standing between you and impact.
Own product features end-to-end across Nexus and the broader Fireworks platform, the intelligent router, FireConnect harness integrations, cost observability, enterprise controls and policy, the developer console, API surfaces, the model playground, fine-tuning workflows, and billing, scoping the problem, building it, shipping it, instrumenting it, and iterating on real usage.
Build the routing and migration layer that scores request difficulty in real time and sends routine work to open models while passing hard tasks through to a customer's existing provider, the system that delivers 3–5x cost reductions without sacrificing quality.
Make adoption frictionless: extend FireConnect and our Anthropic- and OpenAI-compatible APIs so a team can drop Nexus into their existing tools with just a base URL and a model ID, and improve the caching and infra paths that turn that into material cost savings.
Work across the full stack, frontend (React/TypeScript), backend services (Python, Go), APIs, and data layers, to ship polished, production-quality product surfaces for deeply technical users.
Build for products evolving week to week: new models, new serving paths, new consumption models, new enterprise controls, and new multi-agent harness tooling.
Partner closely with Infrastructure, Applied Research, Growth, Data, and Design to turn raw platform capability into products developers love.
Instrument everything you build and let the data tell you where the friction is — then remove it.
3+ years as a software engineer, with meaningful time spent building and shipping user-facing products.
Strong full-stack skills, comfortable across frontend (React/TypeScript), backend (Python, Go, or similar), APIs, and databases.
A track record of shipping developer-facing products: APIs, dashboards, consoles, CLIs, or developer tools.
Genuine end-to-end ownership, you're as comfortable scoping an ambiguous problem as you are deploying the fix at 2am.
Strong product instincts: you optimize for the developer experience, not just the diff.
The ability to operate at high velocity with extreme ownership: you ship fast, make pragmatic trade-offs, and don't wait to be told what to build.
Experience building products on top of complex infrastructure, inference platforms, cloud services, data platforms, or ML tooling.
Experience building for deeply technical users, where the product surface is an API as much as a UI.
Comfort in a fast-moving, founder-led environment where the product changes week to week and you're drawing the map as you walk it.
You build with AI tools every day, and you have sharp intuition for what a great AI developer experience feels like from the inside.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe just shipped Fireworks Nexus: a drop-in platform that lets engineering organizations route their AI workloads off expensive proprietary models and onto high-performing open models like Kimi-K3 and GLM-5.2, without changing how a single developer works. The early numbers are the kind that change how an industry buys intelligence: 3–5x lower AI spend, roughly a third off the cost of every merged PR, and a blended token rate about a quarter of the closed labs, all while matching or beating frontier models on real engineering work from real customer repositories.\n\nThe context is simple. AI spend at serious engineering orgs is exploding, one company burned its entire annual AI budget in four months, and most of that money goes to running routine work at frontier prices. Open models just crossed the intelligence-cost curve. Nexus is how teams capture that, and we're building it in the open: FireConnect ships under Apache 2.0, installs in one line, and plugs straight into Claude Code, Codex, and OpenCode.\n\nWe're looking for a product-minded engineer to join as a Member of Technical Staff and own the surfaces that make this real: the intelligent router that scores and directs every request, the cost-observability and enterprise-control layers that give an org visibility over its entire AI footprint, the FireConnect integrations that make adoption a single command, and the core platform underneath; inference APIs, the developer console, and fine-tuning workflows.\n\nThis is a high-autonomy IC role on a small team building something that ships to production the day you write it, at a scale almost nowhere else can offer. You'll own features end to end — from understanding the problem, to designing the solution, to shipping it, to watching how developers actually use it. If you're the kind of engineer who ships things other people think are impossible, on timelines other people think are impossible, this is a place where that has enormous leverage and nothing standing between you and impact.\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Own product features end-to-end across Nexus and the broader Fireworks platform, the intelligent router, FireConnect harness integrations, cost observability, enterprise controls and policy, the developer console, API surfaces, the model playground, fine-tuning workflows, and billing, scoping the problem, building it, shipping it, instrumenting it, and iterating on real usage.\n\n - Build the routing and migration layer that scores request difficulty in real time and sends routine work to open models while passing hard tasks through to a customer's existing provider, the system that delivers 3–5x cost reductions without sacrificing quality.\n\n - Make adoption frictionless: extend FireConnect and our Anthropic- and OpenAI-compatible APIs so a team can drop Nexus into their existing tools with just a base URL and a model ID, and improve the caching and infra paths that turn that into material cost savings.\n\n - Work across the full stack, frontend (React/TypeScript), backend services (Python, Go), APIs, and data layers, to ship polished, production-quality product surfaces for deeply technical users.\n\n - Build for products evolving week to week: new models, new serving paths, new consumption models, new enterprise controls, and new multi-agent harness tooling.\n\n - Partner closely with Infrastructure, Applied Research, Growth, Data, and Design to turn raw platform capability into products developers love.\n\n - Instrument everything you build and let the data tell you where the friction is — then remove it.\n\n\n\n\n\n\nMINIMUM QUALIFICATIONS\n\n - 3+ years as a software engineer, with meaningful time spent building and shipping user-facing products.\n\n - Strong full-stack skills, comfortable across frontend (React/TypeScript), backend (Python, Go, or similar), APIs, and databases.\n\n - A track record of shipping developer-facing products: APIs, dashboards, consoles, CLIs, or developer tools.\n\n - Genuine end-to-end ownership, you're as comfortable scoping an ambiguous problem as you are deploying the fix at 2am.\n\n - Strong product instincts: you optimize for the developer experience, not just the diff.\n\n - The ability to operate at high velocity with extreme ownership: you ship fast, make pragmatic trade-offs, and don't wait to be told what to build.\n\n\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience building products on top of complex infrastructure, inference platforms, cloud services, data platforms, or ML tooling.\n\n - Experience building for deeply technical users, where the product surface is an API as much as a UI.\n\n - Comfort in a fast-moving, founder-led environment where the product changes week to week and you're drawing the map as you walk it.\n\n - You build with AI tools every day, and you have sharp intuition for what a great AI developer experience feels like from the inside.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"e1a1373c-7b45-4b49-b3ef-c6126ec1c8bb","title":"Technical Recruiter","department":"People","team":"People","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-05T05:15:45.124+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/e1a1373c-7b45-4b49-b3ef-c6126ec1c8bb","applyUrl":"https://jobs.ashbyhq.com/fireworks/e1a1373c-7b45-4b49-b3ef-c6126ec1c8bb/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for Technical Recruiters to own full-cycle hiring within a focused area of our engineering and research org. Each recruiter goes deep on a single domain. You'll partner directly with the founders and engineering leaders in your area to hire the researchers, systems engineers, or infrastructure experts who make Fireworks run. This is a high-ownership role at a company where great hiring is a direct competitive advantage, the talent you bring in will shape the product and the company.
You move fast, love data, enjoy 0-1 builds, keep a high bar, and treat every candidate interaction as a reflection of the Fireworks brand.
Own full-cycle recruiting: sourcing, screening, and close for technical roles within your focus area.
Partner with the hiring managers and founders in your domain to scope roles, define calibrated hiring bars, and build pragmatic hiring strategies for a fast-moving org.
Build and nurture pipelines of top technical talent through proactive outreach and referrals with high-touch, personalized engagement.
Run structured, bias-aware screens that accurately assess technical depth and mission fit.
Deliver an exceptional candidate experience end to end, acting as an ambassador for the Fireworks mission and culture.
Drive offers and closes, using market and compensation data to guide candidates to yes.
Keep our ATS clean and use pipeline data to report on funnel health and continuously improve the process.
Leverage AI tooling to boost sourcing and screening efficiency without sacrificing the personal touch.
5+ years of full-cycle technical recruiting experience, ideally at a high-growth startup or in AI/ML, infrastructure, or deep-tech.
A track record of closing senior and hard-to-fill engineering or research roles in a competitive market.
Strong technical fluency, you understand engineering roles, tech stacks, and can hold credible conversations with technical candidates and hiring managers.
Fluency with modern AI-powered sourcing/screening tools; comfortable with Ashby.
Exceptional communication and relationship-building skills, and genuine care for candidate experience.
Comfort with ambiguity and a fast-changing, high-bar environment.
Familiarity with the open-source AI ecosystem (PyTorch, model serving, inference).
Experience building recruiting processes or employer-brand programs from an early stage.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nWe're looking for Technical Recruiters to own full-cycle hiring within a focused area of our engineering and research org. Each recruiter goes deep on a single domain. You'll partner directly with the founders and engineering leaders in your area to hire the researchers, systems engineers, or infrastructure experts who make Fireworks run. This is a high-ownership role at a company where great hiring is a direct competitive advantage, the talent you bring in will shape the product and the company.\n\nYou move fast, love data, enjoy 0-1 builds, keep a high bar, and treat every candidate interaction as a reflection of the Fireworks brand.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own full-cycle recruiting: sourcing, screening, and close for technical roles within your focus area.\n\n - Partner with the hiring managers and founders in your domain to scope roles, define calibrated hiring bars, and build pragmatic hiring strategies for a fast-moving org.\n\n - Build and nurture pipelines of top technical talent through proactive outreach and referrals with high-touch, personalized engagement.\n\n - Run structured, bias-aware screens that accurately assess technical depth and mission fit.\n\n - Deliver an exceptional candidate experience end to end, acting as an ambassador for the Fireworks mission and culture.\n\n - Drive offers and closes, using market and compensation data to guide candidates to yes.\n\n - Keep our ATS clean and use pipeline data to report on funnel health and continuously improve the process.\n\n - Leverage AI tooling to boost sourcing and screening efficiency without sacrificing the personal touch.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of full-cycle technical recruiting experience, ideally at a high-growth startup or in AI/ML, infrastructure, or deep-tech.\n\n - A track record of closing senior and hard-to-fill engineering or research roles in a competitive market.\n\n - Strong technical fluency, you understand engineering roles, tech stacks, and can hold credible conversations with technical candidates and hiring managers.\n\n - Fluency with modern AI-powered sourcing/screening tools; comfortable with Ashby.\n\n - Exceptional communication and relationship-building skills, and genuine care for candidate experience.\n\n - Comfort with ambiguity and a fast-changing, high-bar environment.\n\n\nNICE TO HAVE\n\n - Familiarity with the open-source AI ecosystem (PyTorch, model serving, inference).\n\n - Experience building recruiting processes or employer-brand programs from an early stage.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"f38678eb-77d3-42f4-90aa-f24da0a0e929","title":"Senior GRC Specialist","department":"Engineering","team":"GRC","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}},{"location":"United States, Remote","address":null}],"publishedAt":"2026-07-06T17:07:17.234+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/f38678eb-77d3-42f4-90aa-f24da0a0e929","applyUrl":"https://jobs.ashbyhq.com/fireworks/f38678eb-77d3-42f4-90aa-f24da0a0e929/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About the role
We're looking for a GRC Specialist to join our security and compliance team. You'll help us mature our compliance program across frameworks like SOC 2, HIPAA, ISO 27001, ISO 27701, ISO 42001, and GDPR - supporting audits, managing risk, and partnering with engineering and operations teams to keep our controls effective as we scale. From day one you'll own operational cornerstones of our program, including user access reviews, our security awareness program through the Adaptive Security platform, and third-party risk management, with room to grow into broader audit and program leadership over time. This is a great fit for someone with a foundation in security or compliance who's ready to take ownership of meaningful work in a fast-moving SaaS environment.
What you'll do
Own day-to-day GRC operations - including (but not limited to) user access reviews and certifications, security awareness and phishing/deepfake simulation facilitation, JML tracking, and triage and enforcement of policy and control exceptions.
Run the risk management program - perform annual and ad-hoc risk assessments, maintain the risk register, partner with risk owners on remediation, and track issues through to closure.
Manage third-party risk - run vendor and subprocessor risk assessments, conduct ongoing monitoring, and track remediation across our critical vendors.
Design and execute targeted internal audits to test control effectiveness, and facilitate or support external audit cycles by coordinating evidence, control owners, and remediation.
Own continuous control monitoring and evidence automation - administer our GRC platform, keep automated control tests and evidence healthy, and maintain audit readiness year-round rather than point-in-time.
Build and foster relationships with cross-functional partners across engineering, IT, operations, legal, and sales - meeting teams where they are rather than gatekeeping.
Partner with control owners to educate them on their control responsibilities, ownership, and expectations; prepare them for audits; and help them operationalize controls rather than treat compliance as a checkbox.
Keep the policy library current - review and update security policies, standards, and procedures so they stay practical and aligned to the frameworks we operate under.
Turn program data into action - translate access review, awareness, and risk findings into insights and metrics that flag high-risk users, teams, or behaviors, report to leadership, and drive targeted interventions.
Take on additional GRC projects as the program evolves; we're a growing team and priorities shift.
How the role will grow
As you build context on our environment and program, you'll take on broader ownership across third-party risk, audit leadership, and program maturity:
End-to-end audit leadership - move from supporting audits to owning them: scoping, auditor coordination, and driving the cycle to completion across frameworks.
Program and control maturity - lead control improvement and automation initiatives that raise the bar on how efficiently we run the program as we scale.
Leadership and influence - mentor newer team members, represent GRC in cross-functional projects, and help shape the direction of the program.
What we're looking for
5-7 years of experience in GRC, IT audit, information security, or a closely related field
Working knowledge of major security and privacy frameworks such as SOC 2, ISO 27001/27701/42001, NIST CSF, HIPAA, GDPR, or CCPA
Experience with GRC platforms (Anecdotes, Vanta, Drata, Secureframe, OneTrust, ServiceNow GRC)
Experience running user access reviews and a solid understanding of identity and access management concepts (RBAC, least privilege, segregation of duties, JML processes)
Hands-on experience administering a security awareness or phishing simulation platform (Adaptive Security, KnowBe4, Hoxhunt, Proofpoint, or similar)
Comfort with cloud environments (AWS, GCP, or Azure) and how SaaS products are built and operated
Strong written communication; you can translate control requirements and security concepts into language engineers, customers, and non-technical employees understand
Detail-oriented and organized, with the ability to juggle multiple audits, campaigns, and deadlines
A collaborative mindset; you enjoy working across teams rather than gatekeeping
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nAbout the role\n\nWe're looking for a GRC Specialist to join our security and compliance team. You'll help us mature our compliance program across frameworks like SOC 2, HIPAA, ISO 27001, ISO 27701, ISO 42001, and GDPR - supporting audits, managing risk, and partnering with engineering and operations teams to keep our controls effective as we scale. From day one you'll own operational cornerstones of our program, including user access reviews, our security awareness program through the Adaptive Security platform, and third-party risk management, with room to grow into broader audit and program leadership over time. This is a great fit for someone with a foundation in security or compliance who's ready to take ownership of meaningful work in a fast-moving SaaS environment.\n\nWhat you'll do\n\n - Own day-to-day GRC operations - including (but not limited to) user access reviews and certifications, security awareness and phishing/deepfake simulation facilitation, JML tracking, and triage and enforcement of policy and control exceptions.\n\n - Run the risk management program - perform annual and ad-hoc risk assessments, maintain the risk register, partner with risk owners on remediation, and track issues through to closure.\n\n - Manage third-party risk - run vendor and subprocessor risk assessments, conduct ongoing monitoring, and track remediation across our critical vendors.\n\n - Design and execute targeted internal audits to test control effectiveness, and facilitate or support external audit cycles by coordinating evidence, control owners, and remediation.\n\n - Own continuous control monitoring and evidence automation - administer our GRC platform, keep automated control tests and evidence healthy, and maintain audit readiness year-round rather than point-in-time.\n\n - Build and foster relationships with cross-functional partners across engineering, IT, operations, legal, and sales - meeting teams where they are rather than gatekeeping.\n\n - Partner with control owners to educate them on their control responsibilities, ownership, and expectations; prepare them for audits; and help them operationalize controls rather than treat compliance as a checkbox.\n\n - Keep the policy library current - review and update security policies, standards, and procedures so they stay practical and aligned to the frameworks we operate under.\n\n - Turn program data into action - translate access review, awareness, and risk findings into insights and metrics that flag high-risk users, teams, or behaviors, report to leadership, and drive targeted interventions.\n\n - Take on additional GRC projects as the program evolves; we're a growing team and priorities shift.\n\nHow the role will grow\n\nAs you build context on our environment and program, you'll take on broader ownership across third-party risk, audit leadership, and program maturity:\n\n - End-to-end audit leadership - move from supporting audits to owning them: scoping, auditor coordination, and driving the cycle to completion across frameworks.\n\n - Program and control maturity - lead control improvement and automation initiatives that raise the bar on how efficiently we run the program as we scale.\n\n - Leadership and influence - mentor newer team members, represent GRC in cross-functional projects, and help shape the direction of the program.\n\nWhat we're looking for\n\n - 5-7 years of experience in GRC, IT audit, information security, or a closely related field\n\n - Working knowledge of major security and privacy frameworks such as SOC 2, ISO 27001/27701/42001, NIST CSF, HIPAA, GDPR, or CCPA\n\n - Experience with GRC platforms (Anecdotes, Vanta, Drata, Secureframe, OneTrust, ServiceNow GRC)\n\n - Experience running user access reviews and a solid understanding of identity and access management concepts (RBAC, least privilege, segregation of duties, JML processes)\n\n - Hands-on experience administering a security awareness or phishing simulation platform (Adaptive Security, KnowBe4, Hoxhunt, Proofpoint, or similar)\n\n - Comfort with cloud environments (AWS, GCP, or Azure) and how SaaS products are built and operated\n\n - Strong written communication; you can translate control requirements and security concepts into language engineers, customers, and non-technical employees understand\n\n - Detail-oriented and organized, with the ability to juggle multiple audits, campaigns, and deadlines\n\n - A collaborative mindset; you enjoy working across teams rather than gatekeeping\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"3af80f2c-ee2f-442a-b921-6529aaef49d9","title":"Partnerships Lead","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-06-26T00:37:48.226+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/3af80f2c-ee2f-442a-b921-6529aaef49d9","applyUrl":"https://jobs.ashbyhq.com/fireworks/3af80f2c-ee2f-442a-b921-6529aaef49d9/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're hiring a high-ownership sales operator to drive sourced pipeline and revenue through the Microsoft Azure channel.
This is a quota-carrying, field-facing role. You'll map Microsoft's ISV and enterprise field org, activate co-sell motions with the right PDMs and AEs, and build the repeatable sales plays that move customers to Fireworks AI through Azure Foundry. You'll own the forecast and the number.
The playbook doesn't fully exist yet. You'll have real influence over how we engage Microsoft's field teams, what good looks like for partner-sourced pipeline, and how we build a co-sell motion that scales across ISV and enterprise segments. If you thrive when you're creating from scratch and can hold yourself accountable to a number while doing it, this is the role.
Pipeline and revenue
Source and own a pipeline target through the Microsoft Azure channel
Co-sell qualified opportunities with Microsoft ISV and enterprise AEs and PDMs
Run weekly forecasting cadences with accurate CRM hygiene and clear escalation visibility
Team mapping and stakeholder management
Build and maintain a living map of Microsoft's field org across ISV and enterprise-facing teams - who owns which accounts, who moves deals, who has co-sell budget
Develop working relationships with PDMs, field AEs, and ISV partner managers at Microsoft
Serve as Fireworks AI's primary point of contact for joint business reviews, pipeline reviews, and co-sell coordination
Sales plays and enablement
Develop sales plays tailored to the ISV and enterprise motion - positioning Fireworks AI's inference platform against the decision criteria that matter in each segment
Build and deliver enablement for Microsoft field sellers on Fireworks AI: clear, crisp positioning they can use in front of customers without a technical translator
Design the intake, escalation, and co-sell workflows that keep deals from stalling
Joint planning and operations
Own joint business planning with Microsoft counterparts: territory plans, account maps, co-sell targets, and QBR cadences
Coordinate co-marketing moments (joint events, solution briefs, field plays) that generate ISV and enterprise pipeline
Surface field intelligence from Microsoft conversations back to Fireworks AI's product and GTM teams
Have 7+ years in GTM, partnerships, or field sales at a technology company - and a track record of operating fast when the environment changes
Know how Microsoft's field org actually works: account teams, SSPs, GBBs, marketplace mechanics, co-sell programs, MACC spend, partner incentives - and how to activate them at the deal level
Build systems, not just run plays. You document the motion, create the playbooks, and make it repeatable
Are comfortable owning a number before all the conditions are perfect, and stay accountable on pipeline sourcing, progression, forecasting
Can communicate clearly and concisely - you translate complex platform capabilities into a value story a non-technical field seller can use in front of a customer
Hold yourself accountable to pipeline hygiene and forecast accuracy - not just relationship depth
This is not an engineering role. But it requires genuine curiosity about how AI inference platforms work.
You'll need working fluency in model serving, inference optimization, and AI training infrastructure - enough to speak credibly about why Fireworks AI's platform matters to ISVs and enterprises evaluating options in the market. If you don't have that fluency today, you can build it here - we'll help. What you can't be is someone who deflects every technical question or can't hold a credible 30-minute conversation with a solutions architect or a technical evaluator.
The through-line: you need to understand what we do well enough to translate it for someone who doesn't. That's the bar.
Experience working at or within a hyperscaler partner ecosystem (Microsoft, AWS, GCP)
Experience selling or partnering in AI/ML infrastructure, model serving, or MLOps
Experience working with ISVs at the platform layer - understanding their build-vs-buy decisions and procurement dynamics
Non-linear career path - varied, scrappy backgrounds carry real weight here
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe're hiring a high-ownership sales operator to drive sourced pipeline and revenue through the Microsoft Azure channel.\n\nThis is a quota-carrying, field-facing role. You'll map Microsoft's ISV and enterprise field org, activate co-sell motions with the right PDMs and AEs, and build the repeatable sales plays that move customers to Fireworks AI through Azure Foundry. You'll own the forecast and the number.\n\nThe playbook doesn't fully exist yet. You'll have real influence over how we engage Microsoft's field teams, what good looks like for partner-sourced pipeline, and how we build a co-sell motion that scales across ISV and enterprise segments. If you thrive when you're creating from scratch and can hold yourself accountable to a number while doing it, this is the role.\n\n\n\n\nWHAT YOU'LL OWN\n\nPipeline and revenue\n\n - Source and own a pipeline target through the Microsoft Azure channel\n\n - Co-sell qualified opportunities with Microsoft ISV and enterprise AEs and PDMs\n\n - Run weekly forecasting cadences with accurate CRM hygiene and clear escalation visibility\n\nTeam mapping and stakeholder management\n\n - Build and maintain a living map of Microsoft's field org across ISV and enterprise-facing teams - who owns which accounts, who moves deals, who has co-sell budget\n\n - Develop working relationships with PDMs, field AEs, and ISV partner managers at Microsoft\n\n - Serve as Fireworks AI's primary point of contact for joint business reviews, pipeline reviews, and co-sell coordination\n\nSales plays and enablement\n\n - Develop sales plays tailored to the ISV and enterprise motion - positioning Fireworks AI's inference platform against the decision criteria that matter in each segment\n\n - Build and deliver enablement for Microsoft field sellers on Fireworks AI: clear, crisp positioning they can use in front of customers without a technical translator\n\n - Design the intake, escalation, and co-sell workflows that keep deals from stalling\n\nJoint planning and operations\n\n - Own joint business planning with Microsoft counterparts: territory plans, account maps, co-sell targets, and QBR cadences\n\n - Coordinate co-marketing moments (joint events, solution briefs, field plays) that generate ISV and enterprise pipeline\n\n - Surface field intelligence from Microsoft conversations back to Fireworks AI's product and GTM teams\n\n\nYOU'RE A GOOD FIT IF YOU\n\n - Have 7+ years in GTM, partnerships, or field sales at a technology company - and a track record of operating fast when the environment changes\n\n - Know how Microsoft's field org actually works: account teams, SSPs, GBBs, marketplace mechanics, co-sell programs, MACC spend, partner incentives - and how to activate them at the deal level\n\n - Build systems, not just run plays. You document the motion, create the playbooks, and make it repeatable\n\n - Are comfortable owning a number before all the conditions are perfect, and stay accountable on pipeline sourcing, progression, forecasting\n\n - Can communicate clearly and concisely - you translate complex platform capabilities into a value story a non-technical field seller can use in front of a customer\n\n - Hold yourself accountable to pipeline hygiene and forecast accuracy - not just relationship depth\n\n\nTHE TECHNICAL BAR\n\nThis is not an engineering role. But it requires genuine curiosity about how AI inference platforms work.\n\nYou'll need working fluency in model serving, inference optimization, and AI training infrastructure - enough to speak credibly about why Fireworks AI's platform matters to ISVs and enterprises evaluating options in the market. If you don't have that fluency today, you can build it here - we'll help. What you can't be is someone who deflects every technical question or can't hold a credible 30-minute conversation with a solutions architect or a technical evaluator.\n\nThe through-line: you need to understand what we do well enough to translate it for someone who doesn't. That's the bar.\n\n\nNICE TO HAVE\n\n - Experience working at or within a hyperscaler partner ecosystem (Microsoft, AWS, GCP)\n\n - Experience selling or partnering in AI/ML infrastructure, model serving, or MLOps\n\n - Experience working with ISVs at the platform layer - understanding their build-vs-buy decisions and procurement dynamics\n\n - Non-linear career path - varied, scrappy backgrounds carry real weight here\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"2393546c-ef71-4054-8c75-4f16caeffc5b","title":"Executive Assistant","department":"General Admin","team":"Operations","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-07-26T20:40:12.208+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/2393546c-ef71-4054-8c75-4f16caeffc5b","applyUrl":"https://jobs.ashbyhq.com/fireworks/2393546c-ef71-4054-8c75-4f16caeffc5b/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are looking for a highly organized, proactive, and detail-oriented Executive Assistant to support our senior leadership team. This is a high-trust, high-autonomy role for someone who operates with discretion, moves fast, and takes genuine ownership of keeping leadership effective and well-prepared. The ideal candidate is not just an organizer — they're a thoughtful partner and a trusted confidant. You'll be the connective tissue between our executives and the world around them, bringing sound judgment and a calm, professional presence to everything you do. This is fully in-office role based in San Mateo where you will support multiple executives.
Main Responsibilities
Calendar & Schedule Management: Manage complex, multi-executive schedules. Strategically prioritize and protect time in alignment with business objectives.
Meeting Support: Ensure executives begin each day fully prepared: briefing notes, meeting context, open action items, and anything they need to walk in sharp. Prepare agendas and follow up on action items as needed.
Travel Coordination: Organize domestic and international travel end-to-end: flights, accommodation, ground transport, detailed itineraries, and expense reporting.
Confidential Support: Manage sensitive and confidential information with the utmost discretion and integrity.
Project Management: Support strategic projects, internal initiatives, and ad hoc research tasks. Able to pick up a thread and run with it independently.
Liaison Role: Serve as the primary point of contact between executives and internal/external stakeholders. Build relationships and stay attuned to what's happening on the ground.
Additional Administrative Support: Complete expense reports, handle personal tasks as needed, and support other executives as needed.
Additional Administrative Support: Complete expense reports, reconcile corporate card, organize team meetings, offsites, all-hands logistics, interview and onboarding coordination. May support other executives as needed.
Preferred Attributes
Background in a fast-paced environment — finance, technology, AI, or startups preferred
Clear, upfront communicator — comfortable navigating ambiguity with confidence and composure
Meticulous attention to detail, especially across scheduling and travel; able to prioritize effectively in high-pressure environments
Strong written and verbal communication skills; professional and warm in every context
Strong interpersonal relationships — a natural relationship-builder who earns trust quickly across all levels of an organization
Good judgment — knows when to act independently and when to loop in
Tech-savvy and comfortable with modern productivity tools
Familiarity with AI tools or workflow automation — able to help build and maintain systems that reduce manual lift
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nWe are looking for a highly organized, proactive, and detail-oriented Executive Assistant to support our senior leadership team. This is a high-trust, high-autonomy role for someone who operates with discretion, moves fast, and takes genuine ownership of keeping leadership effective and well-prepared. The ideal candidate is not just an organizer — they're a thoughtful partner and a trusted confidant. You'll be the connective tissue between our executives and the world around them, bringing sound judgment and a calm, professional presence to everything you do. This is fully in-office role based in San Mateo where you will support multiple executives.\n\n \n\nMain Responsibilities\n\n - Calendar & Schedule Management: Manage complex, multi-executive schedules. Strategically prioritize and protect time in alignment with business objectives.\n\n - Meeting Support: Ensure executives begin each day fully prepared: briefing notes, meeting context, open action items, and anything they need to walk in sharp. Prepare agendas and follow up on action items as needed.\n\n - Travel Coordination: Organize domestic and international travel end-to-end: flights, accommodation, ground transport, detailed itineraries, and expense reporting.\n\n - Confidential Support: Manage sensitive and confidential information with the utmost discretion and integrity.\n\n - Project Management: Support strategic projects, internal initiatives, and ad hoc research tasks. Able to pick up a thread and run with it independently.\n\n - Liaison Role: Serve as the primary point of contact between executives and internal/external stakeholders. Build relationships and stay attuned to what's happening on the ground.\n\n - Additional Administrative Support: Complete expense reports, handle personal tasks as needed, and support other executives as needed.\n\n - Additional Administrative Support: Complete expense reports, reconcile corporate card, organize team meetings, offsites, all-hands logistics, interview and onboarding coordination. May support other executives as needed.\n\n \n\nPreferred Attributes\n\n - Background in a fast-paced environment — finance, technology, AI, or startups preferred\n\n - Clear, upfront communicator — comfortable navigating ambiguity with confidence and composure\n\n - Meticulous attention to detail, especially across scheduling and travel; able to prioritize effectively in high-pressure environments\n\n - Strong written and verbal communication skills; professional and warm in every context\n\n - Strong interpersonal relationships — a natural relationship-builder who earns trust quickly across all levels of an organization\n\n - Good judgment — knows when to act independently and when to loop in\n\n - Tech-savvy and comfortable with modern productivity tools\n\n - Familiarity with AI tools or workflow automation — able to help build and maintain systems that reduce manual lift \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"85e542b8-6349-48a7-b1b4-3818baf945aa","title":"Enterprise Account Executive","department":"Sales","team":"Account Executives - Enterprise","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}},{"location":"United States, Remote","address":null}],"publishedAt":"2026-06-05T23:21:22.835+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/85e542b8-6349-48a7-b1b4-3818baf945aa","applyUrl":"https://jobs.ashbyhq.com/fireworks/85e542b8-6349-48a7-b1b4-3818baf945aa/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.
Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts
Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market
Focus on pipeline generation within your targeted accounts to ensure long-term success
Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close
Manage the entire sales cycle from prospecting to procurement
Forecast accurately and leverage internal resources to hit your annual quota efficiently
Regularly update all active accounts, reporting on sales activities, status, and progress
Maintain a high level of customer satisfaction and referenceability
Travel for client visits and presentations as needed
Bachelor’s degree or 8-12+ years of working experience; 6+ years of progressive SaaS software sales experience, with a proven \"hunter\" mentality; 4+ years experience selling SaaS products to a technical audience
Demonstrated success in closing business in large complex enterprise accounts
Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment
Outstanding verbal and written communication skills
Fireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in the San Francisco Bay Area for this role is $300,000 - $330,000 per year.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nWe are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.\n\n\nKEY RESPONSIBILITIES:\n\n - Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts\n\n - Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market\n\n - Focus on pipeline generation within your targeted accounts to ensure long-term success\n\n - Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close\n\n - Manage the entire sales cycle from prospecting to procurement\n\n - Forecast accurately and leverage internal resources to hit your annual quota efficiently\n\n - Regularly update all active accounts, reporting on sales activities, status, and progress\n\n - Maintain a high level of customer satisfaction and referenceability\n\n - Travel for client visits and presentations as needed\n\n\nMINIMUM REQUIREMENTS:\n\n - Bachelor’s degree or 8-12+ years of working experience; 6+ years of progressive SaaS software sales experience, with a proven \"hunter\" mentality; 4+ years experience selling SaaS products to a technical audience\n\n - Demonstrated success in closing business in large complex enterprise accounts\n\n - Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment\n\n - Outstanding verbal and written communication skills\n\nFireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in the San Francisco Bay Area for this role is $300,000 - $330,000 per year.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"93faf385-9322-4172-8ef2-42a9a6c889e6","title":"Member of Technical Staff, Cloud Infrastructure, Singapore","department":"Engineering","team":"Infrastructure","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-06-24T06:16:41.707+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Singapore","addressCountry":"Singapore","addressLocality":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/93faf385-9322-4172-8ef2-42a9a6c889e6","applyUrl":"https://jobs.ashbyhq.com/fireworks/93faf385-9322-4172-8ef2-42a9a6c889e6/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Here at Fireworks, we’re building the future of generative AI infrastructure. Fireworks offers the generative AI platform with the highest-quality models and the fastest, most scalable inference. We’ve been independently benchmarked to have the fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is funded by top investors, like Benchmark and Sequoia, and we’re an ambitious, fun team composed primarily of veterans from Pytorch and Google Vertex AI.
As a Backend Software Engineer, you’ll be responsible for designing and developing the core backend systems that power Fireworks AI’s high-performance generative AI platform. Your work will focus on ensuring efficiency, scalability, and stability in handling AI workloads.
Design and build core backend software components, ensuring efficiency, scalability, and stability of system resources
Conduct design/code reviews and collaborate with cross-functional teams
Continuously analyze and optimize infrastructure efficiency for AI workloads (compute, storage, networking)
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years experience working in ML infra (PyTorch, Vertex AI, Sagemaker, etc.)
Experience building, scaling, and optimizing enterprise-grade Machine Learning systems
Experience in AI or large scale infrastructure
Master’s or PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT US:\n\nHere at Fireworks, we’re building the future of generative AI infrastructure. Fireworks offers the generative AI platform with the highest-quality models and the fastest, most scalable inference. We’ve been independently benchmarked to have the fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is funded by top investors, like Benchmark and Sequoia, and we’re an ambitious, fun team composed primarily of veterans from Pytorch and Google Vertex AI.\n\n\nTHE ROLE:\n\nAs a Backend Software Engineer, you’ll be responsible for designing and developing the core backend systems that power Fireworks AI’s high-performance generative AI platform. Your work will focus on ensuring efficiency, scalability, and stability in handling AI workloads.\n\n\nKEY RESPONSIBILITIES:\n\n - Design and build core backend software components, ensuring efficiency, scalability, and stability of system resources\n\n - Conduct design/code reviews and collaborate with cross-functional teams\n\n - Continuously analyze and optimize infrastructure efficiency for AI workloads (compute, storage, networking)\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience\n\n - 3+ years experience working in ML infra (PyTorch, Vertex AI, Sagemaker, etc.)\n\n - Experience building, scaling, and optimizing enterprise-grade Machine Learning systems\n\n\nPREFERRED QUALIFICATIONS:\n\n - Experience in AI or large scale infrastructure\n\n - Master’s or PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience\n\n\nWHY FIREWORKS AI?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\n \n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"2facf9c7-9d73-4828-bbab-8adc37708f4c","title":"Enterprise Account Executive, EMEA","department":"Sales","team":"Account Executives - Enterprise","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-07-22T22:22:36.872+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/2facf9c7-9d73-4828-bbab-8adc37708f4c","applyUrl":"https://jobs.ashbyhq.com/fireworks/2facf9c7-9d73-4828-bbab-8adc37708f4c/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.
Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts
Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market
Focus on pipeline generation within your targeted accounts to ensure long-term success
Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close
Manage the entire sales cycle from prospecting to procurement
Forecast accurately and leverage internal resources to hit your annual quota efficiently
Regularly update all active accounts, reporting on sales activities, status, and progress
Maintain a high level of customer satisfaction and referenceability
Travel for client visits and presentations as needed
Bachelor’s degree or equivalent years of working experience
5+ years of progressive SaaS software sales experience, with a proven \"hunter\" mentality
2+ years experience selling SaaS products to a technical audience
Demonstrated success in closing business in large complex enterprise accounts
Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment
Outstanding verbal and written communication skills
Fireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in London, UK for this role is £200,000 - £240,000 per year.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nWe are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.\n\n\nKEY RESPONSIBILITIES:\n\n - Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts\n\n - Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market\n\n - Focus on pipeline generation within your targeted accounts to ensure long-term success\n\n - Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close\n\n - Manage the entire sales cycle from prospecting to procurement\n\n - Forecast accurately and leverage internal resources to hit your annual quota efficiently\n\n - Regularly update all active accounts, reporting on sales activities, status, and progress\n\n - Maintain a high level of customer satisfaction and referenceability\n\n - Travel for client visits and presentations as needed\n\n\nMINIMUM REQUIREMENTS:\n\n - Bachelor’s degree or equivalent years of working experience \n\n - 5+ years of progressive SaaS software sales experience, with a proven \"hunter\" mentality\n\n - 2+ years experience selling SaaS products to a technical audience\n\n - Demonstrated success in closing business in large complex enterprise accounts\n\n - Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment\n\n - Outstanding verbal and written communication skills\n\nFireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in London, UK for this role is £200,000 - £240,000 per year.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"044b1823-7d0d-4da2-b265-676f2a5a50c3","title":"Applied Machine Learning Engineer, Singapore","department":"Engineering","team":"AMLE","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-07-23T01:53:02.276+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Singapore","addressCountry":"Singapore","addressLocality":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/044b1823-7d0d-4da2-b265-676f2a5a50c3","applyUrl":"https://jobs.ashbyhq.com/fireworks/044b1823-7d0d-4da2-b265-676f2a5a50c3/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.
Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.
Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
Robust coding skills required, preferably with proficiency in Python.
Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Master’s degree in Computer Science, Engineering, or a related technical field.
Experience working in a startup or fast-paced environment.
Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.\n\n\nKEY RESPONSIBILITIES:\n\n - Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.\n\n - Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.\n\n - Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.\n\n - Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.\n\n - New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.\n\n - Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.\n\n - Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Engineering, or a related technical field.\n\n - 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.\n\n - Robust coding skills required, preferably with proficiency in Python.\n\n - Demonstrated ability to lead and execute complex technical projects with a focus on customer success.\n\n - Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.\n\n\nPREFERRED QUALIFICATIONS:\n\n - Master’s degree in Computer Science, Engineering, or a related technical field.\n\n - Experience working in a startup or fast-paced environment.\n\n - Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).\n\n - Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"a2850702-dea3-4e2c-a3ec-7ae257d36eb7","title":"Member of Technical Staff, AI Training Infrastructure","department":"Engineering","team":"Training & Evaluation","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-31T21:00:03.263+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/a2850702-dea3-4e2c-a3ec-7ae257d36eb7","applyUrl":"https://jobs.ashbyhq.com/fireworks/a2850702-dea3-4e2c-a3ec-7ae257d36eb7/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Training Infrastructure Engineer, you'll design, build, and optimize the infrastructure that powers our large-scale model training operations. Your work will be essential to developing high-performance AI training infrastructure. You'll collaborate with AI researchers and engineers to create robust training pipelines, optimize distributed training workloads, and ensure reliable model development.
Design and implement scalable infrastructure for large-scale model training workloads
Develop and maintain distributed training pipelines for LLMs and multimodal models
Optimize training performance across multiple GPUs, nodes, and data centers
Implement monitoring, logging, and debugging tools for training operations
Architect and maintain data storage solutions for large-scale training datasets
Automate infrastructure provisioning, scaling, and orchestration for model training
Collaborate with researchers to implement and optimize training methodologies
Analyze and improve efficiency, scalability, and cost-effectiveness of training systems
Troubleshoot complex performance issues in distributed training environments
Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Proficiency in cloud platforms (AWS, GCP, Azure)
Experience with containerization, orchestration (Kubernetes, Docker)
Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)
Master's or PhD in Computer Science or related field
Experience training large language models or multimodal AI systems
Experience with ML workflow orchestration tools
Background in optimizing high-performance distributed computing systems
Familiarity with ML DevOps practices
Contributions to open-source ML infrastructure or related projects
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE: \n\nAs a Training Infrastructure Engineer, you'll design, build, and optimize the infrastructure that powers our large-scale model training operations. Your work will be essential to developing high-performance AI training infrastructure. You'll collaborate with AI researchers and engineers to create robust training pipelines, optimize distributed training workloads, and ensure reliable model development.\n\n\nKEY RESPONSIBILITIES:\n\n - Design and implement scalable infrastructure for large-scale model training workloads\n\n - Develop and maintain distributed training pipelines for LLMs and multimodal models\n\n - Optimize training performance across multiple GPUs, nodes, and data centers\n\n - Implement monitoring, logging, and debugging tools for training operations\n\n - Architect and maintain data storage solutions for large-scale training datasets\n\n - Automate infrastructure provisioning, scaling, and orchestration for model training\n\n - Collaborate with researchers to implement and optimize training methodologies\n\n - Analyze and improve efficiency, scalability, and cost-effectiveness of training systems\n\n - Troubleshoot complex performance issues in distributed training environments\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience\n\n - 3+ years of experience with distributed systems and ML infrastructure\n\n - Experience with PyTorch\n\n - Proficiency in cloud platforms (AWS, GCP, Azure)\n\n - Experience with containerization, orchestration (Kubernetes, Docker)\n\n - Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)\n\n\nPREFERRED QUALIFICATIONS:\n\n - Master's or PhD in Computer Science or related field\n\n - Experience training large language models or multimodal AI systems\n\n - Experience with ML workflow orchestration tools\n\n - Background in optimizing high-performance distributed computing systems\n\n - Familiarity with ML DevOps practices\n\n - Contributions to open-source ML infrastructure or related projects\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"782b8fec-ec75-486d-a6fa-69f737f45e58","title":"AI Deployment Strategist","department":"Customer Support","team":"Customer Support","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}},{"location":"San Francisco Bay Area","address":null}],"publishedAt":"2026-07-28T05:53:17.268+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/782b8fec-ec75-486d-a6fa-69f737f45e58","applyUrl":"https://jobs.ashbyhq.com/fireworks/782b8fec-ec75-486d-a6fa-69f737f45e58/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Fireworks AI is looking for an AI Deployment Strategist to be the technical backbone of our relationship with customers building on our fast inference platform. You'll be the connective tissue between customer engineering teams and Fireworks' product, engineering, and applied AI teams — driving successful onboarding, deep technical adoption, and long-term account health for companies running production AI workloads at scale.
This is a hybrid technical/commercial role. You'll need enough depth to debug a customer's inference pipeline, discuss quantization tradeoffs, or advise on model routing and fine-tuning strategy — and enough business judgment to run a QBR, spot expansion opportunity, and manage renewal risk before it becomes a problem.
Onboarding & Technical Deployment
Own the post-sale technical relationship from kickoff through go-live, including model deployment, integration architecture, SSO/security configuration, and performance benchmarking
Partner with AI Field Engineering to deliver the successful transition from PoC to production
Build and execute joint success plans with clear milestones, ownership, and timelines
Trusted Advisor & Adoption
Serve as the primary technical point of contact for a portfolio of strategic accounts, building deep relationships with engineering leaders, ML/platform teams, and power users
Advise customers on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture as their usage matures
Drive usage against business objectives — not just technical enablement, but measurable outcomes (latency SLAs, cost per token, model quality, uptime)
Troubleshooting & Escalation Management
Act as the technical escalation point for production issues, coordinating with Engineering and Support to drive resolution
Maintain runbooks and playbooks that reduce time-to-resolution across the account portfolio
Voice of the Customer
Synthesize patterns across your accounts and feed them into product and engineering roadmaps
Represent customer priorities in internal planning, particularly around model support, tooling gaps, and platform reliability
Track a tight feedback loop between what customers are building and what Fireworks ships next
Expansion, Renewal & Business Reviews
Own the technical narrative for quarterly/executive business reviews (QBRs/EBRs), including adoption trends, ROI, and roadmap alignment
Partner with the Account Executive on renewal strategy and identify expansion opportunities tied to new use cases, teams, or workloads
Forecast and proactively flag account health risks before they threaten retention
4+ years in a technical, customer-facing role: Deployment Strategist, Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success at an enterprise software or AI/ML company
Strong technical foundation: comfortable with APIs, cloud infrastructure (AWS/GCP/Azure), and enough hands-on coding ability to debug integrations, not just describe them
Direct experience with LLMs in production — understanding of probabilistic model behavior, prompt engineering, fine-tuning, RAG, and/or agent architectures
Track record of managing enterprise relationships end-to-end: technical delivery, executive communication, and commercial outcomes (renewal/expansion)
Excellent written and verbal communication — able to translate between ML engineers and business stakeholders fluently
Comfortable owning ambiguity in a fast-moving, early-stage function; you'll be shaping the TAM playbook, not just following one
Bonus: experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.)
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nFireworks AI is looking for an AI Deployment Strategist to be the technical backbone of our relationship with customers building on our fast inference platform. You'll be the connective tissue between customer engineering teams and Fireworks' product, engineering, and applied AI teams — driving successful onboarding, deep technical adoption, and long-term account health for companies running production AI workloads at scale.\n\nThis is a hybrid technical/commercial role. You'll need enough depth to debug a customer's inference pipeline, discuss quantization tradeoffs, or advise on model routing and fine-tuning strategy — and enough business judgment to run a QBR, spot expansion opportunity, and manage renewal risk before it becomes a problem.\n\n\n\n\nWHAT YOU'LL DO\n\nOnboarding & Technical Deployment\n\n - Own the post-sale technical relationship from kickoff through go-live, including model deployment, integration architecture, SSO/security configuration, and performance benchmarking\n\n - Partner with AI Field Engineering to deliver the successful transition from PoC to production\n\n - Build and execute joint success plans with clear milestones, ownership, and timelines\n\nTrusted Advisor & Adoption\n\n - Serve as the primary technical point of contact for a portfolio of strategic accounts, building deep relationships with engineering leaders, ML/platform teams, and power users\n\n - Advise customers on model selection, fine-tuning, prompt engineering, latency/cost optimization, and agent architecture as their usage matures\n\n - Drive usage against business objectives — not just technical enablement, but measurable outcomes (latency SLAs, cost per token, model quality, uptime)\n\nTroubleshooting & Escalation Management\n\n - Act as the technical escalation point for production issues, coordinating with Engineering and Support to drive resolution\n\n - Maintain runbooks and playbooks that reduce time-to-resolution across the account portfolio\n\nVoice of the Customer\n\n - Synthesize patterns across your accounts and feed them into product and engineering roadmaps\n\n - Represent customer priorities in internal planning, particularly around model support, tooling gaps, and platform reliability\n\n - Track a tight feedback loop between what customers are building and what Fireworks ships next\n\nExpansion, Renewal & Business Reviews\n\n - Own the technical narrative for quarterly/executive business reviews (QBRs/EBRs), including adoption trends, ROI, and roadmap alignment\n\n - Partner with the Account Executive on renewal strategy and identify expansion opportunities tied to new use cases, teams, or workloads\n\n - Forecast and proactively flag account health risks before they threaten retention\n\n\nWHAT WE'RE LOOKING FOR\n\n - 4+ years in a technical, customer-facing role: Deployment Strategist, Technical Account Management, Solutions Engineering, Forward-Deployed Engineering, or Technical Customer Success at an enterprise software or AI/ML company\n\n - Strong technical foundation: comfortable with APIs, cloud infrastructure (AWS/GCP/Azure), and enough hands-on coding ability to debug integrations, not just describe them\n\n - Direct experience with LLMs in production — understanding of probabilistic model behavior, prompt engineering, fine-tuning, RAG, and/or agent architectures\n\n - Track record of managing enterprise relationships end-to-end: technical delivery, executive communication, and commercial outcomes (renewal/expansion)\n\n - Excellent written and verbal communication — able to translate between ML engineers and business stakeholders fluently\n\n - Comfortable owning ambiguity in a fast-moving, early-stage function; you'll be shaping the TAM playbook, not just following one\n\n - Bonus: experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.)\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"7ad6d17e-950e-4413-be33-9c1489f069d8","title":"Member of Technical Staff, Performance Optimization","department":"Engineering","team":"Performance","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2025-05-06T20:04:42.424+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/7ad6d17e-950e-4413-be33-9c1489f069d8","applyUrl":"https://jobs.ashbyhq.com/fireworks/7ad6d17e-950e-4413-be33-9c1489f069d8/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for a Software Engineer focused on Performance Optimization to help push the boundaries of speed and efficiency across our AI infrastructure. In this role, you'll take ownership of optimizing performance at every layer of the stack—from low-level GPU kernels to large-scale distributed systems. A key focus will be maximizing the performance of our most demanding workloads, including large language models (LLMs), vision-language models (VLMs), and next-generation video models.
You’ll work closely with teams across research, infrastructure, and systems to identify performance bottlenecks, implement cutting-edge optimizations, and scale our AI systems to meet the demands of real-world production use cases. Your work will directly impact the speed, scalability, and cost-effectiveness of some of the most advanced generative AI models in the world.
Optimize system and GPU performance for high-throughput AI workloads across training and inference
Analyze and improve latency, throughput, memory usage, and compute efficiency
Profile system performance to detect and resolve GPU- and kernel-level bottlenecks
Implement low-level optimizations using CUDA, Triton, and other performance tooling
Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models)
Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency
Improve support for mixed precision, quantization, and model graph optimization
Build and maintain performance benchmarking and monitoring infrastructure
Scale inference and training systems across multi-GPU, multi-node environments
Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
5+ years of experience working on performance optimization or high-performance computing systems
Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI)
Familiarity with PyTorch and performance-critical model execution
Experience with distributed system debugging and optimization in multi-GPU environments
Deep understanding of GPU architecture, parallel programming models, and compute kernels
Master’s or PhD in Computer Science, Electrical Engineering, or a related field
Experience optimizing large models for training and inference (LLMs, VLMs, or video models)
Knowledge of compiler stacks or ML compilers (e.g., torch.compile, Triton, XLA)
Contributions to open-source ML or HPC infrastructure
Familiarity with cloud-scale AI infrastructure and orchestration tools (e.g., Kubernetes)
Background in ML systems engineering or hardware-aware model design
Implement fully asynchronous low-latency sampling for large language models integrated with structured outputs
Implement GPU kernels for the new low-precision scheme and run experiments to find optimal speed-quality tradeoff
Build a distributed router with a custom load-balancing algorithm to optimize LLM cache efficiency
Define metrics and build harness for finding optimal performance configuration (e.g. sharding, precision) for a given class of model
Determine and implement in PyTorch an optimal sharding scheme for a novel attention variant
Optimize communication patterns in RDMA networks (Infiniband, RoCE)
Debug numerical instabilities for a given model for a small portion of requests when deployed at scale
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE: \n\nWe're looking for a Software Engineer focused on Performance Optimization to help push the boundaries of speed and efficiency across our AI infrastructure. In this role, you'll take ownership of optimizing performance at every layer of the stack—from low-level GPU kernels to large-scale distributed systems. A key focus will be maximizing the performance of our most demanding workloads, including large language models (LLMs), vision-language models (VLMs), and next-generation video models.\n\nYou’ll work closely with teams across research, infrastructure, and systems to identify performance bottlenecks, implement cutting-edge optimizations, and scale our AI systems to meet the demands of real-world production use cases. Your work will directly impact the speed, scalability, and cost-effectiveness of some of the most advanced generative AI models in the world.\n\n\nKEY RESPONSIBILITIES:\n\n - Optimize system and GPU performance for high-throughput AI workloads across training and inference\n\n - Analyze and improve latency, throughput, memory usage, and compute efficiency\n\n - Profile system performance to detect and resolve GPU- and kernel-level bottlenecks\n\n - Implement low-level optimizations using CUDA, Triton, and other performance tooling\n\n - Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models)\n\n - Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency\n\n - Improve support for mixed precision, quantization, and model graph optimization\n\n - Build and maintain performance benchmarking and monitoring infrastructure\n\n - Scale inference and training systems across multi-GPU, multi-node environments\n\n - Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience\n\n - 5+ years of experience working on performance optimization or high-performance computing systems\n\n - Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI)\n\n - Familiarity with PyTorch and performance-critical model execution\n\n - Experience with distributed system debugging and optimization in multi-GPU environments\n\n - Deep understanding of GPU architecture, parallel programming models, and compute kernels\n\n\nPREFERRED QUALIFICATIONS:\n\n - Master’s or PhD in Computer Science, Electrical Engineering, or a related field\n\n - Experience optimizing large models for training and inference (LLMs, VLMs, or video models)\n\n - Knowledge of compiler stacks or ML compilers (e.g., torch.compile, Triton, XLA)\n\n - Contributions to open-source ML or HPC infrastructure\n\n - Familiarity with cloud-scale AI infrastructure and orchestration tools (e.g., Kubernetes)\n\n - Background in ML systems engineering or hardware-aware model design\n\n\nEXAMPLE PROJECTS:\n\n - Implement fully asynchronous low-latency sampling for large language models integrated with structured outputs\n\n - Implement GPU kernels for the new low-precision scheme and run experiments to find optimal speed-quality tradeoff\n\n - Build a distributed router with a custom load-balancing algorithm to optimize LLM cache efficiency\n\n - Define metrics and build harness for finding optimal performance configuration (e.g. sharding, precision) for a given class of model\n\n - Determine and implement in PyTorch an optimal sharding scheme for a novel attention variant\n\n - Optimize communication patterns in RDMA networks (Infiniband, RoCE)\n\n - Debug numerical instabilities for a given model for a small portion of requests when deployed at scale\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"fc3845e6-e8ba-4756-a03e-654f14ce605b","title":"Applied Machine Learning Engineer","department":"Engineering","team":"AMLE","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-05-09T20:15:59.468+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/fc3845e6-e8ba-4756-a03e-654f14ce605b","applyUrl":"https://jobs.ashbyhq.com/fireworks/fc3845e6-e8ba-4756-a03e-654f14ce605b/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.
Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.
Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
Robust coding skills required, preferably with proficiency in Python.
Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Master’s degree in Computer Science, Engineering, or a related technical field.
Experience working in a startup or fast-paced environment.
Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.\n\n\nKEY RESPONSIBILITIES:\n\n - Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.\n\n - Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.\n\n - Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.\n\n - Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.\n\n - New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.\n\n - Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.\n\n - Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Engineering, or a related technical field.\n\n - 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.\n\n - Robust coding skills required, preferably with proficiency in Python.\n\n - Demonstrated ability to lead and execute complex technical projects with a focus on customer success.\n\n - Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.\n\n\nPREFERRED QUALIFICATIONS:\n\n - Master’s degree in Computer Science, Engineering, or a related technical field.\n\n - Experience working in a startup or fast-paced environment.\n\n - Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).\n\n - Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"a8abf746-17f5-45e3-a72e-085ccb8f2d74","title":"Member of Technical Staff, Cloud Infrastructure","department":"Engineering","team":"Infrastructure","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-06-20T19:29:20.147+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/a8abf746-17f5-45e3-a72e-085ccb8f2d74","applyUrl":"https://jobs.ashbyhq.com/fireworks/a8abf746-17f5-45e3-a72e-085ccb8f2d74/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You’ll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers.
Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines.
Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure.
Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency.
Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning.
Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions.
Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability.
Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence.
Ensuring System Reliability: Ensure systems are designed and implemented with high availability, scalability, and performance. Focus on fault tolerance, disaster recovery, identifying and removing scaling bottlenecks, and performance optimization across our multi-cloud infrastructure.
Observability & Monitoring: Develop, implement, and maintain comprehensive monitoring, alerting, logging, and tracing solutions to provide deep insights into system health and performance
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure).
Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.).
Strong software development skills in languages like Python, or C++.
Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization.
Master’s or PhD in Computer Science or related field.
Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems.
Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps).
Track record of driving system performance, reliability, and cost-efficiency improvements.
Contributions to open-source cloud or ML infrastructure projects a plus.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You’ll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers.\n\n\nKEY RESPONSIBILITIES:\n\n - Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines.\n\n - Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure.\n\n - Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency.\n\n - Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning.\n\n - Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions.\n\n - Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability.\n\n - Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence.\n\n - Ensuring System Reliability: Ensure systems are designed and implemented with high availability, scalability, and performance. Focus on fault tolerance, disaster recovery, identifying and removing scaling bottlenecks, and performance optimization across our multi-cloud infrastructure.\n\n - Observability & Monitoring: Develop, implement, and maintain comprehensive monitoring, alerting, logging, and tracing solutions to provide deep insights into system health and performance \n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).\n\n - 5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure).\n\n - Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.).\n\n - Strong software development skills in languages like Python, or C++.\n\n - Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization.\n\n\nPREFERRED QUALIFICATIONS:\n\n - Master’s or PhD in Computer Science or related field.\n\n - Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems.\n\n - Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps).\n\n - Track record of driving system performance, reliability, and cost-efficiency improvements.\n\n - Contributions to open-source cloud or ML infrastructure projects a plus.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"cca38fd5-9cbd-4cee-8fdb-d6e6d230b036","title":"Member of Technical Staff, Evals & Post-Training Product","department":"Engineering","team":"Training & Evaluation","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2025-10-30T22:54:05.957+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/cca38fd5-9cbd-4cee-8fdb-d6e6d230b036","applyUrl":"https://jobs.ashbyhq.com/fireworks/cca38fd5-9cbd-4cee-8fdb-d6e6d230b036/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are seeking a Member of Technical Staff, Evals & Post-Training Product to help define how developers improve models on Fireworks. This role sits at a unique intersection of scalable system design, deep data science, and model quality.
You will build the infrastructure and workflows that connect evaluation and post-training. Our evaluation setup has grown past its original scope, and we need someone who can take it to the next stage, improving programmatic access and scale. You will work across backend systems, sandbox infrastructure, and user-facing surfaces to make it easier to author evals, understand results, and iterate quickly.
Scale Eval Infrastructure: Take ownership of our internal eval setup and evolve it for the future. You will design systems to eliminate single-host coordination bottlenecks, resolve log-syncing latency, and build seamless programmatic access.
Benchmark Obsession & Reproduction: Act as a \"metrics obsessive.\" Track state-of-the-art (SOTA) benchmarks, read the latest research papers, dig deep into data discrepancies, and insist on rigorously reproducing published results internally.
Pioneer New Benchmarks: Design and build entirely new benchmarks to measure model performance on complex, emerging, or domain-specific use cases.
Own Fine-Tuning Product Experiences: Build and improve user-facing workflows for post-training, including fine-tuning experiences across SFT, RFT, and related model-improvement capabilities.
Work Closely With Users: Partner with customers and internal stakeholders to understand evaluation and fine-tuning needs, triage issues, and convert bespoke workflows into productized, reusable solutions.
Experience: 1–7 years of software engineering or data science experience (We are hiring at multiple levels for this role).
Strong System Design Skills: You know how to architect scalable, programmatic systems and transition legacy setups into robust infrastructure.
Sandbox Infrastructure: Hands-on experience building or working with sandbox environments and sandbox infrastructure for secure code execution and testing.
Analytical & Data Science Mindset: You possess a deep understanding of LLM evaluations, how to design them, and how to use the results to guide model improvement. You are meticulous about data and metrics.
Understanding of the GenAI Lifecycle: You understand the end-to-end workflow—from prompting a base model to curating a dataset, fine-tuning, and productionizing agents.
Experience: 3+ years of software engineering or applied data science experience.
Frameworks & Orchestration: Experience working with the Harbor framework or similar container registry and orchestration tools.
Public Writing & Analysis: A strong interest in discovering where different models excel and fall short, with a desire to write up and publish these insights publicly (e.g., technical blogs, whitepapers).
Inference & Hardware Knowledge: Interest in the hardware side of AI—understanding GPU constraints, inference optimization techniques, and how they relate to model performance.
Startup DNA: Experience in fast-paced environments where you own features end-to-end.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\n\nWe are seeking a Member of Technical Staff, Evals & Post-Training Product to help define how developers improve models on Fireworks. This role sits at a unique intersection of scalable system design, deep data science, and model quality.\n\nYou will build the infrastructure and workflows that connect evaluation and post-training. Our evaluation setup has grown past its original scope, and we need someone who can take it to the next stage, improving programmatic access and scale. You will work across backend systems, sandbox infrastructure, and user-facing surfaces to make it easier to author evals, understand results, and iterate quickly.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Scale Eval Infrastructure: Take ownership of our internal eval setup and evolve it for the future. You will design systems to eliminate single-host coordination bottlenecks, resolve log-syncing latency, and build seamless programmatic access.\n\n - Benchmark Obsession & Reproduction: Act as a \"metrics obsessive.\" Track state-of-the-art (SOTA) benchmarks, read the latest research papers, dig deep into data discrepancies, and insist on rigorously reproducing published results internally.\n\n - Pioneer New Benchmarks: Design and build entirely new benchmarks to measure model performance on complex, emerging, or domain-specific use cases.\n\n - Own Fine-Tuning Product Experiences: Build and improve user-facing workflows for post-training, including fine-tuning experiences across SFT, RFT, and related model-improvement capabilities.\n\n - Work Closely With Users: Partner with customers and internal stakeholders to understand evaluation and fine-tuning needs, triage issues, and convert bespoke workflows into productized, reusable solutions.\n\n\n\n\nMINIMUM REQUIREMENTS\n\n - Experience: 1–7 years of software engineering or data science experience (We are hiring at multiple levels for this role).\n\n - Strong System Design Skills: You know how to architect scalable, programmatic systems and transition legacy setups into robust infrastructure.\n\n - Sandbox Infrastructure: Hands-on experience building or working with sandbox environments and sandbox infrastructure for secure code execution and testing.\n\n - Analytical & Data Science Mindset: You possess a deep understanding of LLM evaluations, how to design them, and how to use the results to guide model improvement. You are meticulous about data and metrics.\n\n - Understanding of the GenAI Lifecycle: You understand the end-to-end workflow—from prompting a base model to curating a dataset, fine-tuning, and productionizing agents.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience: 3+ years of software engineering or applied data science experience.\n\n - Frameworks & Orchestration: Experience working with the Harbor framework or similar container registry and orchestration tools.\n\n - Public Writing & Analysis: A strong interest in discovering where different models excel and fall short, with a desire to write up and publish these insights publicly (e.g., technical blogs, whitepapers).\n\n - Inference & Hardware Knowledge: Interest in the hardware side of AI—understanding GPU constraints, inference optimization techniques, and how they relate to model performance.\n\n - Startup DNA: Experience in fast-paced environments where you own features end-to-end.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"82013447-2713-46ca-aab1-b0a34f7b565a","title":" Software Engineer, LLM Infrastructure","department":"Engineering","team":"Infrastructure","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2025-11-05T16:54:08.032+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/82013447-2713-46ca-aab1-b0a34f7b565a","applyUrl":"https://jobs.ashbyhq.com/fireworks/82013447-2713-46ca-aab1-b0a34f7b565a/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Software Engineer on our AI Infrastructure team, you will help design the core systems that power Fireworks AI’s generative AI platform. You will help build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system.
Our mission is to make Fireworks AI the most reliable and user friendly generative AI platform in the world. You will partner closely with our cloud infrastructure team, product team, and performance team to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference engine.
Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines
Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems
Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers
Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry
Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions
Participate in code reviews, technical discussions, and continuous integration and deployment processes
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
3 years of experience in software engineering, with a focus on infrastructure or machine learning systems
Strong programming skills in Python, Go, or a similar language
Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.).
Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)
5+ years of experience in software engineering, with a focus on infrastructure or machine learning systems
Experience with open source inference engine like vLLM, Sglang, or TRT-LLM
Contributions to open-source infrastructure or ML projects
Experience in building large scale ML/MLOps infrastructure
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs a Software Engineer on our AI Infrastructure team, you will help design the core systems that power Fireworks AI’s generative AI platform. You will help build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system. \n\nOur mission is to make Fireworks AI the most reliable and user friendly generative AI platform in the world. You will partner closely with our cloud infrastructure team, product team, and performance team to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference engine. \n\n\nKEY RESPONSIBILITIES:\n\n - Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines\n\n - Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems\n\n - Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers\n\n - Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry\n\n - Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions\n\n - Participate in code reviews, technical discussions, and continuous integration and deployment processes\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)\n\n - 3 years of experience in software engineering, with a focus on infrastructure or machine learning systems\n\n - Strong programming skills in Python, Go, or a similar language\n\n - Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.).\n\n - Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc) \n\n\nPREFERRED QUALIFICATIONS:\n\n - 5+ years of experience in software engineering, with a focus on infrastructure or machine learning systems\n\n - Experience with open source inference engine like vLLM, Sglang, or TRT-LLM\n\n - Contributions to open-source infrastructure or ML projects\n\n - Experience in building large scale ML/MLOps infrastructure\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"976cf215-3710-4136-aac8-f0c0f08ef45e","title":"MTS, Security","department":"Engineering","team":"Platform","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-01-20T19:32:33.123+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/976cf215-3710-4136-aac8-f0c0f08ef45e","applyUrl":"https://jobs.ashbyhq.com/fireworks/976cf215-3710-4136-aac8-f0c0f08ef45e/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Security is the foundation of trust in AI systems. As the Security Engineer at Fireworks AI, you will play a key role in designing, implementing and operating security controls across AI infrastructure, AI platforms and internal systems. You will work closely with the multiple teams to strengthen our security posture and support our rapid growth. As more organizations rely on large language models and cloud-native AI services, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure is paramount. This role plays a critical part in building that trust by designing and embedding security across layers of our technology stack.
Design and build security-focused software and platform capabilities to protect customer data, models, and services across our multi-cloud infrastructure, including encryption, identity and access management, secure API gateways, secure model execution, and sandboxing strategies.
Perform security reviews of cloud-native architectures—including Kubernetes clusters, multi-cloud workloads, and distributed data stores—and build integrated systems for continuous security monitoring, anomaly detection, and automated response.
Embed security into CI/CD pipelines using a DevSecOps approach, implementing automated scanning, policy enforcement, and secure-by-default build and deployment workflows.
Apply a build-over-buy philosophy by designing and developing in-house security tooling and automation where it provides better control, scalability, and integration than off-the-shelf solutions.
Build and operate a comprehensive vulnerability management program, partnering with various teams to remediate risks across applications, containers, cloud infrastructure, and dependencies.
Operate and continuously improve security operations, including detection engineering, alert triage, incident response, and continuous improvement through post-incident reviews.
Participate in red/blue team exercises, tabletop simulations, and post-incident root cause analysis to strengthen security resilience.
Embed compliance and regulatory controls into infrastructure and product layers (e.g., SOC 2, ISO 27001, ISO42001, HIPAA, PCI-DSS, GDPR).
3 to 7 years of experience in software engineering or security engineering with a strong focus on security, infrastructure, or cloud-native systems.
Proficient in Python and/or Go with experience in designing production-grade systems.
Strong understanding of cloud-native architectures using GCP, particularly in the area of network segregation, authentication, authorization, encryption, data protection, intrusion detection, and cloud-specific security benchmarks.
Hands-on experience with Kubernetes, Docker, and containerized production environments; deep knowledge of Kubernetes internals and native security controls is a strong plus.
Familiarity with security tooling in managed CI/CD environments (e.g., GitHub Actions, Harness, CircleCI).
Solid experience working in Linux environments, including system administration, debugging, and automation via command-line tooling.
Familiarity with modern identity and access controls (SAML, OAuth, OIDC, SSO, RBAC/ABAC).
Experience designing secure multi-cloud deployments and zero-trust architectures.
Experience designing, operating, and securing large-scale Kubernetes platforms, including control plane security, node hardening, and multi-tenant isolation.
Experience designing, operating, and securing large-scale multi-cloud platforms across AWS, GCP, Azure, Oracle Cloud, and GPU as service cloud providers.
Proficiency with infrastructure-as-code using Terraform and Python, including experience building modular policy-as-code frameworks.
Strong understanding of data protection techniques, including encryption at rest/in transit, tokenization, key management, and confidential computing.
Experience integrating security into microservice architectures, service meshes, and distributed systems.
Hands-on experience securing LLM/ML platforms, model inference infrastructure, GPU clusters, or data labeling pipelines.
Experience designing detection engineering pipelines across cloud audit logs, network telemetry, and application signals.
Experience building large-scale IAM and PAM platforms using least-privilege, workload identity, and just-in-time access.
Familiarity with container image vulnerability remediation, security, SBOM generation, and software supply chain security.
Experience building, implementing and operating security automation platforms for incident response and security operations.
Familiarity with compliance tooling and frameworks (e.g., Vanta, SOC 2, ISO 27001, ISO 42001, PCI-DSS).
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nSecurity is the foundation of trust in AI systems. As the Security Engineer at Fireworks AI, you will play a key role in designing, implementing and operating security controls across AI infrastructure, AI platforms and internal systems. You will work closely with the multiple teams to strengthen our security posture and support our rapid growth. As more organizations rely on large language models and cloud-native AI services, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure is paramount. This role plays a critical part in building that trust by designing and embedding security across layers of our technology stack.\n\n\nKEY RESPONSIBILITIES:\n\n - Design and build security-focused software and platform capabilities to protect customer data, models, and services across our multi-cloud infrastructure, including encryption, identity and access management, secure API gateways, secure model execution, and sandboxing strategies.\n\n - Perform security reviews of cloud-native architectures—including Kubernetes clusters, multi-cloud workloads, and distributed data stores—and build integrated systems for continuous security monitoring, anomaly detection, and automated response.\n\n - Embed security into CI/CD pipelines using a DevSecOps approach, implementing automated scanning, policy enforcement, and secure-by-default build and deployment workflows.\n\n - Apply a build-over-buy philosophy by designing and developing in-house security tooling and automation where it provides better control, scalability, and integration than off-the-shelf solutions.\n\n - Build and operate a comprehensive vulnerability management program, partnering with various teams to remediate risks across applications, containers, cloud infrastructure, and dependencies.\n\n - Operate and continuously improve security operations, including detection engineering, alert triage, incident response, and continuous improvement through post-incident reviews.\n\n - Participate in red/blue team exercises, tabletop simulations, and post-incident root cause analysis to strengthen security resilience.\n\n - Embed compliance and regulatory controls into infrastructure and product layers (e.g., SOC 2, ISO 27001, ISO42001, HIPAA, PCI-DSS, GDPR).\n \n \n\n\nMINIMUM QUALIFICATIONS:\n\n - 3 to 7 years of experience in software engineering or security engineering with a strong focus on security, infrastructure, or cloud-native systems. \n\n - Proficient in Python and/or Go with experience in designing production-grade systems.\n\n - Strong understanding of cloud-native architectures using GCP, particularly in the area of network segregation, authentication, authorization, encryption, data protection, intrusion detection, and cloud-specific security benchmarks.\n\n - Hands-on experience with Kubernetes, Docker, and containerized production environments; deep knowledge of Kubernetes internals and native security controls is a strong plus.\n\n - Familiarity with security tooling in managed CI/CD environments (e.g., GitHub Actions, Harness, CircleCI).\n\n - Solid experience working in Linux environments, including system administration, debugging, and automation via command-line tooling.\n\n - Familiarity with modern identity and access controls (SAML, OAuth, OIDC, SSO, RBAC/ABAC).\n\n\nPREFERRED QUALIFICATIONS:\n\n - Experience designing secure multi-cloud deployments and zero-trust architectures.\n\n - Experience designing, operating, and securing large-scale Kubernetes platforms, including control plane security, node hardening, and multi-tenant isolation.\n\n - Experience designing, operating, and securing large-scale multi-cloud platforms across AWS, GCP, Azure, Oracle Cloud, and GPU as service cloud providers.\n\n - Proficiency with infrastructure-as-code using Terraform and Python, including experience building modular policy-as-code frameworks.\n\n - Strong understanding of data protection techniques, including encryption at rest/in transit, tokenization, key management, and confidential computing.\n\n - Experience integrating security into microservice architectures, service meshes, and distributed systems.\n\n - Hands-on experience securing LLM/ML platforms, model inference infrastructure, GPU clusters, or data labeling pipelines.\n\n - Experience designing detection engineering pipelines across cloud audit logs, network telemetry, and application signals.\n\n - Experience building large-scale IAM and PAM platforms using least-privilege, workload identity, and just-in-time access.\n\n - Familiarity with container image vulnerability remediation, security, SBOM generation, and software supply chain security.\n\n - Experience building, implementing and operating security automation platforms for incident response and security operations.\n\n - Familiarity with compliance tooling and frameworks (e.g., Vanta, SOC 2, ISO 27001, ISO 42001, PCI-DSS).\n \n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"492db6a8-c757-4c4e-a2b3-f2ed183f8e6f","title":"Member of Technical Staff, Software Engineer","department":"Engineering","team":"Platform","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-03-08T23:23:18.627+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/492db6a8-c757-4c4e-a2b3-f2ed183f8e6f","applyUrl":"https://jobs.ashbyhq.com/fireworks/492db6a8-c757-4c4e-a2b3-f2ed183f8e6f/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
You’ll be a core builder of the backend systems that power Fireworks:
Our main web application
Model and fine-tuning job orchestration
Billing and enterprise features
Accounts, org management, access controls
Policy enforcement and governance
APIs and developer tooling
And many other cool things!
This is platform engineering with product impact. Your systems will directly shape how customers build on top of AI. You’ll work closely with product, frontend, infra, and GTM to ship end-to-end features — not just tickets.
Design and build scalable backend services
Own major product surfaces from architecture to production
Improve reliability, performance, and developer experience
Work directly with customers to understand pain points
Ship enterprise-grade features without enterprise slowness
Use AI tooling aggressively — we expect you to automate yourself
You like building real products, not just infrastructure for infrastructure’s sake
You enjoy driving initiatives across teams to get things done
You think in terms of systems, tradeoffs, and business impact
You care about developer experience and clean abstractions
You’re curious about AI and want to build where the future is going
You want ownership, not task lists
Comfortable collaborating with both humans and AI systems (Yes, We’re Serious)
5+ years of experience helping humans solve real problems
2+ years of working with AI — agents, bots, chats, or building on top of models
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nYou’ll be a core builder of the backend systems that power Fireworks:\n\n - Our main web application\n\n - Model and fine-tuning job orchestration\n\n - Billing and enterprise features\n\n - Accounts, org management, access controls\n\n - Policy enforcement and governance\n\n - APIs and developer tooling\n\n - And many other cool things!\n\nThis is platform engineering with product impact. Your systems will directly shape how customers build on top of AI. You’ll work closely with product, frontend, infra, and GTM to ship end-to-end features — not just tickets.\n\n\nWHAT YOU’LL DO\n\n - Design and build scalable backend services\n\n - Own major product surfaces from architecture to production\n\n - Improve reliability, performance, and developer experience\n\n - Work directly with customers to understand pain points\n\n - Ship enterprise-grade features without enterprise slowness\n\n - Use AI tooling aggressively — we expect you to automate yourself\n\n\nYOU MIGHT BE A FIT IF\n\n - You like building real products, not just infrastructure for infrastructure’s sake\n\n - You enjoy driving initiatives across teams to get things done\n\n - You think in terms of systems, tradeoffs, and business impact\n\n - You care about developer experience and clean abstractions\n\n - You’re curious about AI and want to build where the future is going\n\n - You want ownership, not task lists\n\n\nMINIMUM QUALIFICATIONS\n\n - Comfortable collaborating with both humans and AI systems (Yes, We’re Serious)\n\n - 5+ years of experience helping humans solve real problems\n\n - 2+ years of working with AI — agents, bots, chats, or building on top of models\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"ece226e2-2880-48a8-b51a-2ee2c039d3af","title":"Senior GTM Recruiter","department":"People","team":"People","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-03-31T20:20:04.924+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/ece226e2-2880-48a8-b51a-2ee2c039d3af","applyUrl":"https://jobs.ashbyhq.com/fireworks/ece226e2-2880-48a8-b51a-2ee2c039d3af/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for a strategic and hands-on Senior GTM Recruiter to join our growing People team and help fuel our next phase of growth. In this role, you'll own full-cycle recruiting for Go-To-Market functions — including Sales, Marketing and Partnerships — partnering closely with GTM leaders to build world-class teams that can take Fireworks' platform to market.
This isn't just a recruiting role, it's a chance to shape how an AI-native company hires. We're looking for someone who is genuinely excited about the AI industry, eager to experiment with AI-powered recruiting tools and workflows, and ready to help define what modern, intelligent talent acquisition looks like. If you love being at the forefront of both AI and hiring, this role was built for you.
Own full-cycle GTM recruitment across Sales, Marketing, Partnerships, Solutions Engineering, and Customer Success, with a focus on quality, speed, and candidate experience.
Partner with GTM hiring managers and executives to understand business needs, calibrate on candidate profiles, and develop targeted hiring strategies. Build and maintain talent pipelines and market maps for current and future needs.
Proactively source and engage high-caliber GTM talent through direct outreach, networking, referrals, and AI-powered sourcing platforms.
Collaborate with HRBPs, Compensation, and other People functions to align on role design, comp benchmarking, and market intelligence to inform hiring plans.
Champion AI-native recruiting practices, from sourcing automation and outreach personalization to pipeline analytics, while optimizing recruiting operations and tooling for a scalable, inclusive process.
5+ years of hands-on recruiting experience, ideally in fast-paced, high-growth environments.
Proven track record recruiting for GTM roles across Sales, Marketing and Partnerships.
Demonstrated ability to partner with founders, hiring managers, and senior GTM leaders to shape and influence hiring strategy.
Strong sourcing and candidate engagement skills, with a knack for identifying and activating top GTM talent.
Ability to work with urgency while maintaining high quality standards and a thoughtful candidate experience.
Experience scaling GTM teams at a startup or hypergrowth company, ideally in AI, infrastructure, or developer tools.
Familiarity with compensation structures and equity benchmarking in early-stage startups.
Hands-on experience with AI recruiting tools, whether that's AI-assisted sourcing, automated outreach, or workflow automation, and genuine enthusiasm to explore what's next.
Experience with Talent Operations to implement and optimize recruiting tools, systems, and workflows.
You're passionate about the AI industry. Not just as a recruiter operating in it, but as someone who follows it, thinks about it, and is excited to be part of building it. You see AI as a tool that makes you a better recruiter, not a threat to the craft. You're curious, experimental, and energized by figuring out how to do things better and faster. You bring that same energy to finding and closing exceptional GTM talent.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nWe're looking for a strategic and hands-on Senior GTM Recruiter to join our growing People team and help fuel our next phase of growth. In this role, you'll own full-cycle recruiting for Go-To-Market functions — including Sales, Marketing and Partnerships — partnering closely with GTM leaders to build world-class teams that can take Fireworks' platform to market.\n\nThis isn't just a recruiting role, it's a chance to shape how an AI-native company hires. We're looking for someone who is genuinely excited about the AI industry, eager to experiment with AI-powered recruiting tools and workflows, and ready to help define what modern, intelligent talent acquisition looks like. If you love being at the forefront of both AI and hiring, this role was built for you.\n\n\nKEY RESPONSIBILITIES\n\n - Own full-cycle GTM recruitment across Sales, Marketing, Partnerships, Solutions Engineering, and Customer Success, with a focus on quality, speed, and candidate experience.\n\n - Partner with GTM hiring managers and executives to understand business needs, calibrate on candidate profiles, and develop targeted hiring strategies. Build and maintain talent pipelines and market maps for current and future needs.\n\n - Proactively source and engage high-caliber GTM talent through direct outreach, networking, referrals, and AI-powered sourcing platforms.\n\n - Collaborate with HRBPs, Compensation, and other People functions to align on role design, comp benchmarking, and market intelligence to inform hiring plans.\n\n - Champion AI-native recruiting practices, from sourcing automation and outreach personalization to pipeline analytics, while optimizing recruiting operations and tooling for a scalable, inclusive process.\n\n\nMINIMUM QUALIFICATIONS\n\n - 5+ years of hands-on recruiting experience, ideally in fast-paced, high-growth environments.\n\n - Proven track record recruiting for GTM roles across Sales, Marketing and Partnerships.\n\n - Demonstrated ability to partner with founders, hiring managers, and senior GTM leaders to shape and influence hiring strategy.\n\n - Strong sourcing and candidate engagement skills, with a knack for identifying and activating top GTM talent.\n\n - Ability to work with urgency while maintaining high quality standards and a thoughtful candidate experience.\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience scaling GTM teams at a startup or hypergrowth company, ideally in AI, infrastructure, or developer tools.\n\n - Familiarity with compensation structures and equity benchmarking in early-stage startups.\n\n - Hands-on experience with AI recruiting tools, whether that's AI-assisted sourcing, automated outreach, or workflow automation, and genuine enthusiasm to explore what's next.\n\n - Experience with Talent Operations to implement and optimize recruiting tools, systems, and workflows.\n\n\nWHO YOU ARE (BEYOND THE RESUME)\n\nYou're passionate about the AI industry. Not just as a recruiter operating in it, but as someone who follows it, thinks about it, and is excited to be part of building it. You see AI as a tool that makes you a better recruiter, not a threat to the craft. You're curious, experimental, and energized by figuring out how to do things better and faster. You bring that same energy to finding and closing exceptional GTM talent.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"1e8064d8-27ed-41b9-9d7a-1f9129e24ce0","title":"AI Native Account Executive","department":"Sales","team":"Account Executives - AI Native","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}},{"location":"San Mateo","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}}}],"publishedAt":"2026-04-30T17:22:11.848+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/1e8064d8-27ed-41b9-9d7a-1f9129e24ce0","applyUrl":"https://jobs.ashbyhq.com/fireworks/1e8064d8-27ed-41b9-9d7a-1f9129e24ce0/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Fireworks is building the fastest and most scalable generative AI platform in the world. We help leading startups and enterprises deploy open-source and custom LLMs in production with best-in-class performance, latency, and cost efficiency. Backed by Sequoia, Lightspeed, and Benchmark, Fireworks is trusted by GenAI-native companies like Cursor, Vercel, Genspark, and others across healthcare, finance, and developer tooling. We’re past $300M+ ARR and growing fast. Join us to define how GenAI gets adopted in the real world.
We’re hiring an AI Native Account Executive to drive adoption of Fireworks within the most ambitious GenAI startups. You’ll engage deeply with technical founders, ML leads, and product teams — helping them understand how Fireworks fits into their stack and guiding them through evaluation, onboarding, and scale-up. This isn’t a traditional transactional sales role: we’re looking for someone who can speak credibly to technical teams, identify high-impact use cases, and relentlessly pursue value creation for the customer. You’ll work cross-functionally with GTM engineers, product, and applied ML to unblock adoption, accelerate time to value, and grow usage in your accounts.
Own a portfolio of GenAI-native startup accounts and drive adoption across key use cases
Actively identify, engage, and qualify new high-potential prospects through warm outreach, events, and network-driven channels
Lead technical and product conversations with founders, ML engineers, and infra leads
Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts
Work closely with internal teams to shape tailored solutions, POCs, and fine-tuning approaches
Translate customer feedback into actionable insights for the product and engineering teams
Track account health and usage data to identify expansion opportunities
Be a visible representative of Fireworks in the GenAI ecosystem — including attending demo days, meetups, and online communities
Have 3+ years of experience in sales, business development, customer success, or product roles focused on technical buyers
Thrive in fast-moving environments and love engaging with startup founders and builders
Can understand and explain technical topics like open source inference, API performance, model tuning, or GPU architecture
Are proactive, persistent, and creative in breaking into accounts and building relationships
Have strong communication skills and can earn trust with both engineers and executives
Want to be on the front lines of the GenAI movement and work closely with companies shaping the future
Work directly with some of the most innovative GenAI startups in the world
Join a lean, high-impact GTM team where your work directly drives company growth
Build lasting relationships and help startups get real value from powerful infrastructure
Collaborate with world-class engineers and operators building at the bleeding edge of AI
Competitive base salary, strong equity, and long-term upside
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nFireworks is building the fastest and most scalable generative AI platform in the world. We help leading startups and enterprises deploy open-source and custom LLMs in production with best-in-class performance, latency, and cost efficiency. Backed by Sequoia, Lightspeed, and Benchmark, Fireworks is trusted by GenAI-native companies like Cursor, Vercel, Genspark, and others across healthcare, finance, and developer tooling. We’re past $300M+ ARR and growing fast. Join us to define how GenAI gets adopted in the real world.\n\n \n\nWe’re hiring an AI Native Account Executive to drive adoption of Fireworks within the most ambitious GenAI startups. You’ll engage deeply with technical founders, ML leads, and product teams — helping them understand how Fireworks fits into their stack and guiding them through evaluation, onboarding, and scale-up. This isn’t a traditional transactional sales role: we’re looking for someone who can speak credibly to technical teams, identify high-impact use cases, and relentlessly pursue value creation for the customer. You’ll work cross-functionally with GTM engineers, product, and applied ML to unblock adoption, accelerate time to value, and grow usage in your accounts.\n\n\nRESPONSIBILITIES\n\n - Own a portfolio of GenAI-native startup accounts and drive adoption across key use cases\n\n - Actively identify, engage, and qualify new high-potential prospects through warm outreach, events, and network-driven channels\n\n - Lead technical and product conversations with founders, ML engineers, and infra leads\n\n - Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts\n\n - Work closely with internal teams to shape tailored solutions, POCs, and fine-tuning approaches\n\n - Translate customer feedback into actionable insights for the product and engineering teams\n\n - Track account health and usage data to identify expansion opportunities\n\n - Be a visible representative of Fireworks in the GenAI ecosystem — including attending demo days, meetups, and online communities\n\n\nYOU MIGHT BE A FIT IF YOU\n\n - Have 3+ years of experience in sales, business development, customer success, or product roles focused on technical buyers\n\n - Thrive in fast-moving environments and love engaging with startup founders and builders\n\n - Can understand and explain technical topics like open source inference, API performance, model tuning, or GPU architecture\n\n - Are proactive, persistent, and creative in breaking into accounts and building relationships\n\n - Have strong communication skills and can earn trust with both engineers and executives\n\n - Want to be on the front lines of the GenAI movement and work closely with companies shaping the future\n\n\nWHY FIREWORKS\n\n - Work directly with some of the most innovative GenAI startups in the world\n\n - Join a lean, high-impact GTM team where your work directly drives company growth\n\n - Build lasting relationships and help startups get real value from powerful infrastructure\n\n - Collaborate with world-class engineers and operators building at the bleeding edge of AI\n\n - Competitive base salary, strong equity, and long-term upside\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"e47bf56b-2696-48b2-93fc-11fd1263906c","title":"Field Marketing Manager, Startups","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-05-22T18:24:43.417+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/e47bf56b-2696-48b2-93fc-11fd1263906c","applyUrl":"https://jobs.ashbyhq.com/fireworks/e47bf56b-2696-48b2-93fc-11fd1263906c/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
This is a new role within the Fireworks AI Marketing team, key to driving our pipeline efforts within events and creating a program for startup founders and early-stage operators. You’ll own the community, content, and marketing programs needed to build a vibrant, active, and engaged founder/operator network—one that shares startup journeys and best practices, provides product feedback internally, and champions Fireworks as an essential tool for early-stage teams. If you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative programs that directly shape Fireworks AI's brand experience in SF.
You'll collaborate closely with cross-functional stakeholders in sales and customer success, delivering events that bolster the AMER sales team. You'll partner with our product marketing, creative studio, partner, devrel, and demand generation teams to develop high-value events. These in-person experiences will provide top-notch content and experiences for our customers and prospects.
Create top notch experiences to delight customers and prospects, with a guest-first approach to creating field events and experiences that bring our brand and product to life.
Own end-to-end planning, execution, vendors, budgets, timelines of all event and field programs, including executive dinners, roundtables. workshops, trade-shows, and co-sponsored partner activations.
Drive measurable pipeline and revenue impact from every program
Develop pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-up
Work hand-in-hand with sales teams to build targeted invite lists and ensure strong attendance from priority accounts
Track and report on program ROI to make recommendations on how we invest in field events to drive incremental business impact.
5 + years of field marketing or event marketing experience in B2B SaaS
A passion for all things field and experiential marketing. You understand the purpose and place for all types of events - executive events, tradeshows, networking events - taking pride in delivering on the finest of details that make the difference between a good event and a great event.
Are a strong cross-functional collaborator who can work effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders
Experience working cross functionally with sales leadership, sales representatives, customer success, creative, content, and product marketing.
Proficient in CRM and marketing automation software, must is Salesforce
Experience at a startup or hyper-growth company is preferred; especially within the Bay Area
Experience in startup marketing (B2B startup / founder-led GTM) is a plus
Experience delivering both in-person field events & larger scale user conferences
Familiarity with the AI/ML landscape and how developer and enterprise teams are adopting AI solutions.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE:\n\nThis is a new role within the Fireworks AI Marketing team, key to driving our pipeline efforts within events and creating a program for startup founders and early-stage operators. You’ll own the community, content, and marketing programs needed to build a vibrant, active, and engaged founder/operator network—one that shares startup journeys and best practices, provides product feedback internally, and champions Fireworks as an essential tool for early-stage teams. If you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative programs that directly shape Fireworks AI's brand experience in SF.\n\nYou'll collaborate closely with cross-functional stakeholders in sales and customer success, delivering events that bolster the AMER sales team. You'll partner with our product marketing, creative studio, partner, devrel, and demand generation teams to develop high-value events. These in-person experiences will provide top-notch content and experiences for our customers and prospects.\n\n\nKEY RESPONSIBILITIES:\n\n - Create top notch experiences to delight customers and prospects, with a guest-first approach to creating field events and experiences that bring our brand and product to life.\n\n - Own end-to-end planning, execution, vendors, budgets, timelines of all event and field programs, including executive dinners, roundtables. workshops, trade-shows, and co-sponsored partner activations.\n\n - Drive measurable pipeline and revenue impact from every program\n\n - Develop pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-up\n\n - Work hand-in-hand with sales teams to build targeted invite lists and ensure strong attendance from priority accounts\n\n - Track and report on program ROI to make recommendations on how we invest in field events to drive incremental business impact.\n\n\nSKILLS YOU'LL NEED TO BRING:\n\n - 5 + years of field marketing or event marketing experience in B2B SaaS\n\n - A passion for all things field and experiential marketing. You understand the purpose and place for all types of events - executive events, tradeshows, networking events - taking pride in delivering on the finest of details that make the difference between a good event and a great event.\n\n - Are a strong cross-functional collaborator who can work effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders\n\n - Experience working cross functionally with sales leadership, sales representatives, customer success, creative, content, and product marketing.\n\n - Proficient in CRM and marketing automation software, must is Salesforce\n\n\nNICE TO HAVES:\n\n - Experience at a startup or hyper-growth company is preferred; especially within the Bay Area\n\n - Experience in startup marketing (B2B startup / founder-led GTM) is a plus\n\n - Experience delivering both in-person field events & larger scale user conferences\n\n - Familiarity with the AI/ML landscape and how developer and enterprise teams are adopting AI solutions.\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"2b9193ea-dbff-40b1-a766-0f872665c7fe","title":"Sr Field Marketing Manager ","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-22T18:22:44.769+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/2b9193ea-dbff-40b1-a766-0f872665c7fe","applyUrl":"https://jobs.ashbyhq.com/fireworks/2b9193ea-dbff-40b1-a766-0f872665c7fe/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
This is a senior, high-impact role on Fireworks AI's Marketing team, central to our pipeline strategy and go-to-market motion. As a Senior Field Marketing Manager, you'll be a key architect of how we show up in the field, owning a mix of strategy, execution of our event and field programs, while helping establish the foundational infrastructure and playbooks that will scale the team.
If you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative events that directly shape Fireworks AI's brand experience on the West Coast or East Coast. You're not just running events — you're building a repeatable engine for pipeline and brand.
You'll collaborate closely with cross-functional stakeholders in sales and leadership to design experiences that accelerate deals and deepen customer relationships. You'll bring a strategic lens to audience segmentation, investment decisions, and program measurement, while also rolling up your sleeves to execute.
Develop Fireworks AI's east coast field marketing strategy, aligning program investments to sales priorities, pipeline goals, and key customer segments.
Conceptualize and produce end to end planning, execution, of hosted events including executive experiences, large-format educational events, trade shows, co-sponsored activations, and flagship user conferences.
Build pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and drive strong sales follow-up.
Partner with sales leadership on territory and account-level strategy, ensuring field programs reach the right accounts at the right moments in the buying cycle.
Track and report on program ROI to marketing and sales leadership, making data-driven recommendations on how we invest in field events to drive incremental business impact.
Mentor and provide guidance to junior field marketing team members as the function grows.
7+ years of field marketing or event marketing experience in B2B SaaS or B2B tech.
A passion for all things field and experiential marketing. You understand the purpose and place for every event type, from executive dinners to trade shows, and take pride in the details that elevate a good event to a great one.
A strong strategic instinct paired with operational excellence: you can zoom out to define a program roadmap and zoom in to manage the logistics that make the difference.
Experience partnering with sales leadership and AEs to develop territory-level event strategies and account-based marketing motions.
Proven ability to manage complex, multi-event portfolios simultaneously across diverse program types
Strong cross-functional collaborator who works effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders.
Strong written and verbal communication skills, including the ability to create clear event documentation and present post-event insights to leadership.
Comfortable with data and analytics, using event metrics to optimize programs and clearly demonstrate ROI.
Proficiency in CRM and marketing automation software; Salesforce is required.
Experience at a startup or hyper-growth company is preferred; especially within the Bay Area
Experience delivering both in-person field events and larger-scale user conferences, including flagship events (500+ attendees).
Background designing and optimizing account-based marketing (ABM) motions in partnership with demand generation teams.
Marketo experience.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE:\n\nThis is a senior, high-impact role on Fireworks AI's Marketing team, central to our pipeline strategy and go-to-market motion. As a Senior Field Marketing Manager, you'll be a key architect of how we show up in the field, owning a mix of strategy, execution of our event and field programs, while helping establish the foundational infrastructure and playbooks that will scale the team.\n\nIf you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative events that directly shape Fireworks AI's brand experience on the West Coast or East Coast. You're not just running events — you're building a repeatable engine for pipeline and brand.\n\nYou'll collaborate closely with cross-functional stakeholders in sales and leadership to design experiences that accelerate deals and deepen customer relationships. You'll bring a strategic lens to audience segmentation, investment decisions, and program measurement, while also rolling up your sleeves to execute.\n\n\nKEY RESPONSIBILITIES:\n\n - Develop Fireworks AI's east coast field marketing strategy, aligning program investments to sales priorities, pipeline goals, and key customer segments.\n\n - Conceptualize and produce end to end planning, execution, of hosted events including executive experiences, large-format educational events, trade shows, co-sponsored activations, and flagship user conferences.\n\n - Build pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and drive strong sales follow-up.\n\n - Partner with sales leadership on territory and account-level strategy, ensuring field programs reach the right accounts at the right moments in the buying cycle.\n\n - Track and report on program ROI to marketing and sales leadership, making data-driven recommendations on how we invest in field events to drive incremental business impact.\n\n - Mentor and provide guidance to junior field marketing team members as the function grows.\n\n\nSKILLS YOU'LL NEED TO BRING:\n\n - 7+ years of field marketing or event marketing experience in B2B SaaS or B2B tech.\n\n - A passion for all things field and experiential marketing. You understand the purpose and place for every event type, from executive dinners to trade shows, and take pride in the details that elevate a good event to a great one.\n\n - A strong strategic instinct paired with operational excellence: you can zoom out to define a program roadmap and zoom in to manage the logistics that make the difference.\n\n - Experience partnering with sales leadership and AEs to develop territory-level event strategies and account-based marketing motions.\n\n - Proven ability to manage complex, multi-event portfolios simultaneously across diverse program types\n\n - Strong cross-functional collaborator who works effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders.\n\n - Strong written and verbal communication skills, including the ability to create clear event documentation and present post-event insights to leadership.\n\n - Comfortable with data and analytics, using event metrics to optimize programs and clearly demonstrate ROI.\n\n - Proficiency in CRM and marketing automation software; Salesforce is required.\n\n\nNICE TO HAVES:\n\n - Experience at a startup or hyper-growth company is preferred; especially within the Bay Area\n\n - Experience delivering both in-person field events and larger-scale user conferences, including flagship events (500+ attendees).\n\n - Background designing and optimizing account-based marketing (ABM) motions in partnership with demand generation teams.\n\n - Marketo experience.\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"0e175af6-e53a-4e48-91ba-db3aaef8dac7","title":"Head of Marketing Operations","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"United States, Remote","address":null}],"publishedAt":"2026-05-27T22:28:00.456+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/0e175af6-e53a-4e48-91ba-db3aaef8dac7","applyUrl":"https://jobs.ashbyhq.com/fireworks/0e175af6-e53a-4e48-91ba-db3aaef8dac7/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
The Head of Marketing Operations builds the infrastructure that lets Fireworks marketing scale, and runs the operating system that keeps the team performing day to day. You own the marketing tech stack, the data model, the lifecycle, and the analytics that turn marketing into a predictable pipeline engine that the executive team can trust. You also own the planning rhythms, budget, prioritization, and program management that keep every function inside marketing shipping on time and in sync.
The right person is rigorous, opinionated about tooling, and energized by the operational problems most marketers avoid. You think about marketing the way a great operator thinks about a business: cadence, accountability, resource allocation, and clear measurement.
This role is remote-friendly within the US. You will travel to our San Mateo HQ periodically for team onsites, planning sessions, and key moments that benefit from being in person. We will establish a cadence that works for the team and the role.
You own the marketing tech stack end-to-end: selection, implementation, integration, and the standards that govern how data flows between systems. This includes the marketing automation platform, CDP or warehouse-native architecture decisions, enrichment, and the integration layer with Salesforce. Success is measured by stack reliability, total cost of ownership, and the speed at which marketing can launch new programs.
You run the operating rhythm of the marketing team. This includes the annual and quarterly planning process, goal setting and tracking, weekly business reviews, and cross-functional program management across demand gen, product marketing, content, and brand. You own the marketing budget model, vendor contracts, headcount planning support, and the prioritization framework that turns a long list of ideas into a focused roadmap. You are the connective tissue that makes the rest of the marketing team faster, more aligned, and easier to scale. Success is measured by on-time program delivery, budget accuracy, and team velocity.
You own the full lifecycle from anonymous visitor through closed-won, including lead scoring, MQL and PQL definitions, SLA enforcement, and the handoff to sales. This includes the operational rigor around routing, nurture, and re-engagement. Success is measured by SDR conversion lift and clean handoff metrics.
You own marketing analytics, attribution methodology, and the dashboards that the executive team and the board see. This includes pipeline attribution, channel ROI, and the quarterly marketing performance review. Success is measured by leadership confidence in the numbers and by speed of decision-making informed by them.
You own data hygiene, privacy compliance (GDPR, CCPA, and emerging US state laws), and the governance model that keeps our database trustworthy as we scale. Success is measured by data quality scores, deliverability rates, and zero material compliance incidents.
Marketing-sourced pipeline is reported with confidence and audit-ready definitions
Lead scoring drives measurable lift in downstream conversion rates
The full funnel from visitor to closed-won is instrumented and visible in shared dashboards
Campaign launch time drops as a result of better operational playbooks
Marketing and sales agree on the data, the definitions, and the single source of truth
The marketing team operates on a clear quarterly cadence with shared priorities, transparent budget, and on-time delivery against the plan
The SVP of Marketing and the broader exec team have real-time visibility into team capacity, program status, and spend without chasing updates
Campaign creative and execution: Demand Gen leader
Sales technology and territory design: Sales Operations
Product analytics and PLG instrumentation: Product and Data teams
8+ years in marketing operations with at least 3 years in a leadership role
Experience building marketing operations from scratch or replatforming at a B2B SaaS company
Proven track record at a startup or fast-scaling growth-stage company
Track record running planning cadences, OKRs, and cross-functional program management for a marketing org
Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool (Looker, Tableau, Sigma)
Comfort owning data quality, GDPR/CCPA compliance, and attribution debates
Experience managing budget, vendor relationships, and headcount planning alongside a marketing leader
Calm under pressure with strong opinions held loosely
Past experience at a developer-first or product-led growth company
SQL fluency
Experience with hybrid PQL and MQL scoring models
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THIS ROLE\n\nThe Head of Marketing Operations builds the infrastructure that lets Fireworks marketing scale, and runs the operating system that keeps the team performing day to day. You own the marketing tech stack, the data model, the lifecycle, and the analytics that turn marketing into a predictable pipeline engine that the executive team can trust. You also own the planning rhythms, budget, prioritization, and program management that keep every function inside marketing shipping on time and in sync.\n\nThe right person is rigorous, opinionated about tooling, and energized by the operational problems most marketers avoid. You think about marketing the way a great operator thinks about a business: cadence, accountability, resource allocation, and clear measurement.\n\n\nLOCATION AND WORK STYLE\n\nThis role is remote-friendly within the US. You will travel to our San Mateo HQ periodically for team onsites, planning sessions, and key moments that benefit from being in person. We will establish a cadence that works for the team and the role.\n\n\nRESPONSIBILITIES\n\n\nMARKETING TECHNOLOGY STACK AND ARCHITECTURE\n\nYou own the marketing tech stack end-to-end: selection, implementation, integration, and the standards that govern how data flows between systems. This includes the marketing automation platform, CDP or warehouse-native architecture decisions, enrichment, and the integration layer with Salesforce. Success is measured by stack reliability, total cost of ownership, and the speed at which marketing can launch new programs.\n\n\nMARKETING OPERATING SYSTEM AND PROGRAM MANAGEMENT\n\nYou run the operating rhythm of the marketing team. This includes the annual and quarterly planning process, goal setting and tracking, weekly business reviews, and cross-functional program management across demand gen, product marketing, content, and brand. You own the marketing budget model, vendor contracts, headcount planning support, and the prioritization framework that turns a long list of ideas into a focused roadmap. You are the connective tissue that makes the rest of the marketing team faster, more aligned, and easier to scale. Success is measured by on-time program delivery, budget accuracy, and team velocity.\n\n\nLIFECYCLE, LEAD MANAGEMENT, AND SCORING\n\nYou own the full lifecycle from anonymous visitor through closed-won, including lead scoring, MQL and PQL definitions, SLA enforcement, and the handoff to sales. This includes the operational rigor around routing, nurture, and re-engagement. Success is measured by SDR conversion lift and clean handoff metrics.\n\n\nATTRIBUTION, REPORTING, AND ANALYTICS\n\nYou own marketing analytics, attribution methodology, and the dashboards that the executive team and the board see. This includes pipeline attribution, channel ROI, and the quarterly marketing performance review. Success is measured by leadership confidence in the numbers and by speed of decision-making informed by them.\n\n\nDATA GOVERNANCE AND COMPLIANCE\n\nYou own data hygiene, privacy compliance (GDPR, CCPA, and emerging US state laws), and the governance model that keeps our database trustworthy as we scale. Success is measured by data quality scores, deliverability rates, and zero material compliance incidents.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Marketing-sourced pipeline is reported with confidence and audit-ready definitions\n\n - Lead scoring drives measurable lift in downstream conversion rates\n\n - The full funnel from visitor to closed-won is instrumented and visible in shared dashboards\n\n - Campaign launch time drops as a result of better operational playbooks\n\n - Marketing and sales agree on the data, the definitions, and the single source of truth\n\n - The marketing team operates on a clear quarterly cadence with shared priorities, transparent budget, and on-time delivery against the plan\n\n - The SVP of Marketing and the broader exec team have real-time visibility into team capacity, program status, and spend without chasing updates\n\n\nWHAT THIS ROLE DOES NOT OWN\n\n - Campaign creative and execution: Demand Gen leader\n\n - Sales technology and territory design: Sales Operations\n\n - Product analytics and PLG instrumentation: Product and Data teams\n\n\nYOU SHOULD HAVE\n\n - 8+ years in marketing operations with at least 3 years in a leadership role\n\n - Experience building marketing operations from scratch or replatforming at a B2B SaaS company\n\n - Proven track record at a startup or fast-scaling growth-stage company\n\n - Track record running planning cadences, OKRs, and cross-functional program management for a marketing org\n\n - Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool (Looker, Tableau, Sigma)\n\n - Comfort owning data quality, GDPR/CCPA compliance, and attribution debates\n\n - Experience managing budget, vendor relationships, and headcount planning alongside a marketing leader\n\n - Calm under pressure with strong opinions held loosely\n\n\nNICE TO HAVE\n\n - Past experience at a developer-first or product-led growth company\n\n - SQL fluency\n\n - Experience with hybrid PQL and MQL scoring models\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"08bafd48-fd91-404b-b7c0-b19c30f8a058","title":"Sales Compensation Lead","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-07-31T00:11:42.196+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/08bafd48-fd91-404b-b7c0-b19c30f8a058","applyUrl":"https://jobs.ashbyhq.com/fireworks/08bafd48-fd91-404b-b7c0-b19c30f8a058/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Reporting to the VP of Revenue Operations, the Sales Commissions Lead owns sales compensation end-to-end: plan strategy and design, field communication, dispute resolution, forecasting of commission expense, and the systems that turn closed deals and usage into accurate, trusted payouts.
This is not a pure admin seat and not a blank-slate build. You inherit a working in-house commissions stack and extend it — plan docs, calculators, data pipelines, reporting, and payout workflows — while partnering tightly with FP&A, HR/People Ops, Sales leadership, and Data Engineering. You will own compensation for a rapidly scaling GTM org (300+ commissionable sellers across pre-sales and post-sales roles).
Consumption and hybrid commit + usage economics are core to how we sell and how we pay. The right candidate has already owned commissions in a usage-based or hybrid commercial model — not only license ARR — and can design plans that drive the right field behavior without breaking Finance trust.
The right candidate is an AI-native builder: hands-on with agentic tools (Cursor, Claude Code, or equivalent), shipping automation into the commissions operating system rather than managing a spreadsheet forever.
Plan Strategy & Design
Own sales compensation plan strategy and execution across AE, manager, and pre-/post-sales overlay roles.
Design and iterate consumption-aware and hybrid commit + usage plans that align seller incentives with company goals (new logos, expansion, and healthy revenue mix).
Partner with Sales leadership, FP&A, and HR on plan changes, mid-period policy decisions, and clear field communication — including how changes are grandfathered and measured after the fact.
Payout Operations & Trust
Own the quarter close for commissions: eligibility, calculations, exceptions, audits, and payout packages Sales and Finance will stand behind.
Run dispute resolution with judgment — protect plan integrity while staying credible with FLMs and reps.
Maintain definitional clarity (what counts as commissionable production, how credit is assigned, how overlays interact) and keep plan language, exhibits, and systems in sync.
Systems, Forecasting & Automation
Inherit and extend our in-house commissions tooling and data pipelines — do not rip-and-replace for a vendor by default.
Drive end-to-end automation of plan modeling, commission forecasting, attainment reporting, and payout production.
Partner with Data Engineering and GTM Engineering on source-of-truth data (CRM, billing/usage, roster/quotas) so calculations are reproducible and auditable.
Cross-Functional Partnership
Be the commissions point of contact for Sales VPs/FLMs, FP&A (commission expense and accruals), HR (exhibits, offers, terminations), and Data Eng.
Produce executive-ready views of commission cost, plan health, and incentive risk — recommendations, not just tables.
AI-Native Operations
Build agentic workflows into how commissions runs: rule interpretation, edge-case triage, rep-facing explanations, regression checks on plan changes, and automated reporting.
Raise the bar for what \"done\" looks like: machine-readable plan logic, versioned assumptions, and tooling the field can self-serve against.
7+ years in sales commissions, incentive compensation, or sales ops with deep commissions ownership; senior IC depth at a P4–P5 equivalent
Has familiarity with and owned multiple steps of end-to-end commission (plan design + payout ops), not only one side of the house
Hands-on experience designing and administering plans in a consumption-based or hybrid commit + usage commercial model
Strong systems builder: SQL (or equivalent) against CRM/billing data; comfortable extending in-house calculators and pipelines rather than only operating a packaged ICM tool
Proven cross-functional operator with Sales, FP&A, HR, and technical partners — can say no to a bad exception and still keep trust
Actively building with AI/agentic tools in current work; can name specific automation they've shipped (not \"I use ChatGPT\")
Excellent written communication: can explain plan mechanics to a rep in plain language and to Finance in audit-ready form
Preferred
Experience at an AI/ML infrastructure, developer tools, or API-first company
Has scaled commissions through a high-growth headcount ramp (hundreds of sellers)
Familiarity with manager overrides, overlay roles (e.g. SAs / field engineers), marketplace/channel credit, and self-serve → sales-assisted conversion credit
Prior ownership of commission expense forecasting / accruals partnership with FP&A
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nReporting to the VP of Revenue Operations, the Sales Commissions Lead owns sales compensation end-to-end: plan strategy and design, field communication, dispute resolution, forecasting of commission expense, and the systems that turn closed deals and usage into accurate, trusted payouts.\n\nThis is not a pure admin seat and not a blank-slate build. You inherit a working in-house commissions stack and extend it — plan docs, calculators, data pipelines, reporting, and payout workflows — while partnering tightly with FP&A, HR/People Ops, Sales leadership, and Data Engineering. You will own compensation for a rapidly scaling GTM org (300+ commissionable sellers across pre-sales and post-sales roles).\n\nConsumption and hybrid commit + usage economics are core to how we sell and how we pay. The right candidate has already owned commissions in a usage-based or hybrid commercial model — not only license ARR — and can design plans that drive the right field behavior without breaking Finance trust.\n\nThe right candidate is an AI-native builder: hands-on with agentic tools (Cursor, Claude Code, or equivalent), shipping automation into the commissions operating system rather than managing a spreadsheet forever.\n\n\nRESPONSIBILITIES\n\nPlan Strategy & Design\n\n - Own sales compensation plan strategy and execution across AE, manager, and pre-/post-sales overlay roles.\n\n - Design and iterate consumption-aware and hybrid commit + usage plans that align seller incentives with company goals (new logos, expansion, and healthy revenue mix).\n\n - Partner with Sales leadership, FP&A, and HR on plan changes, mid-period policy decisions, and clear field communication — including how changes are grandfathered and measured after the fact.\n\nPayout Operations & Trust\n\n - Own the quarter close for commissions: eligibility, calculations, exceptions, audits, and payout packages Sales and Finance will stand behind.\n\n - Run dispute resolution with judgment — protect plan integrity while staying credible with FLMs and reps.\n\n - Maintain definitional clarity (what counts as commissionable production, how credit is assigned, how overlays interact) and keep plan language, exhibits, and systems in sync.\n\nSystems, Forecasting & Automation\n\n - Inherit and extend our in-house commissions tooling and data pipelines — do not rip-and-replace for a vendor by default.\n\n - Drive end-to-end automation of plan modeling, commission forecasting, attainment reporting, and payout production.\n\n - Partner with Data Engineering and GTM Engineering on source-of-truth data (CRM, billing/usage, roster/quotas) so calculations are reproducible and auditable.\n\nCross-Functional Partnership\n\n - Be the commissions point of contact for Sales VPs/FLMs, FP&A (commission expense and accruals), HR (exhibits, offers, terminations), and Data Eng.\n\n - Produce executive-ready views of commission cost, plan health, and incentive risk — recommendations, not just tables.\n\nAI-Native Operations\n\n - Build agentic workflows into how commissions runs: rule interpretation, edge-case triage, rep-facing explanations, regression checks on plan changes, and automated reporting.\n\n - Raise the bar for what \"done\" looks like: machine-readable plan logic, versioned assumptions, and tooling the field can self-serve against.\n\n\nQUALIFICATIONS\n\n - 7+ years in sales commissions, incentive compensation, or sales ops with deep commissions ownership; senior IC depth at a P4–P5 equivalent\n\n - Has familiarity with and owned multiple steps of end-to-end commission (plan design + payout ops), not only one side of the house\n\n - Hands-on experience designing and administering plans in a consumption-based or hybrid commit + usage commercial model\n\n - Strong systems builder: SQL (or equivalent) against CRM/billing data; comfortable extending in-house calculators and pipelines rather than only operating a packaged ICM tool\n\n - Proven cross-functional operator with Sales, FP&A, HR, and technical partners — can say no to a bad exception and still keep trust\n\n - Actively building with AI/agentic tools in current work; can name specific automation they've shipped (not \"I use ChatGPT\")\n\n - Excellent written communication: can explain plan mechanics to a rep in plain language and to Finance in audit-ready form\n\nPreferred\n\n - Experience at an AI/ML infrastructure, developer tools, or API-first company\n\n - Has scaled commissions through a high-growth headcount ramp (hundreds of sellers)\n\n - Familiarity with manager overrides, overlay roles (e.g. SAs / field engineers), marketplace/channel credit, and self-serve → sales-assisted conversion credit\n\n - Prior ownership of commission expense forecasting / accruals partnership with FP&A\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"38aa9926-2865-45c4-ac38-585b78ee68ac","title":"Member of Technical Staff- Full Stack ","department":"Engineering","team":"Platform","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-06-05T17:30:24.380+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/38aa9926-2865-45c4-ac38-585b78ee68ac","applyUrl":"https://jobs.ashbyhq.com/fireworks/38aa9926-2865-45c4-ac38-585b78ee68ac/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are looking for a Full Stack Software Engineering to architect, build, and scale our developer-focused web application (fireworks.ai) and shape our end-to-end technical architecture. This role blends hands-on engineering with technical leadership, offering the opportunity to mentor other engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment.
You'll play a key role in delivering scalable, elegant, and highly performant solutions that directly impact our hundreds of thousands of developers and product vision. You will be directly shaping and shipping the most optimal developer journey—spanning intuitive front-end interfaces, robust APIs, and efficient backend orchestration—combined with our large offering of open-source generative AI models, enabling our users to seamlessly build, experiment, and ship their AI workflows with our playground.
End-to-End Ownership: Engineering ownership of fireworks.ai from the user interface down to the API and data layer, with a strong focus on a delightful developer journey.
Product-Led Growth: Participate in the team’s shared accountability for product-led growth through the web application, model playground, and seamless user onboarding workflows.
Full Stack Development: Design, develop, and test responsive, performant web applications alongside robust, scalable backend services and APIs.
Leadership & Mentorship: Mentor and support a team of full stack, frontend, and backend engineers through code reviews, pair programming, and ongoing technical coaching.
Architectural Excellence: Define and implement full stack architectural standards, API design best practices, database schemas, and modern development workflows.
Cross-Functional Collaboration: Partner with Product, Design, and Core AI/Infrastructure Engineering to align on requirements, system design, timelines, and delivery expectations.
Systems & Components: Build and maintain reusable, scalable frontend component libraries while ensuring backend services are modular and easily integrated.
Unified Developer Experience: Partner with other engineering teams to build an aligned developer journey across web, SDK, and CLI surfaces.
Quality & Performance: Champion application performance, security, data integrity, and accessibility across the entire software stack.
Innovation: Drive innovation by staying informed of emerging full stack trends, cloud-native technologies, and AI orchestration frameworks.
Education: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
Experience: 6+ years of professional experience in full stack software development.
Leadership: 2+ years of experience in a technical leadership role (e.g., tech lead, team lead, or engineering manager).
Frontend Proficiency: Strong expertise in React, TypeScript, JavaScript, and Next.js.
Backend Proficiency: Strong expertise in building server-side applications, designing RESTful or GraphQL APIs, and working with modern backend languages (e.g., Node.js, Python, Go).
Data Management: Solid understanding of database systems (SQL/NoSQL), caching strategies, and data modeling.
Track Record: Proven track record of delivering and scaling production-grade, full stack web applications.
Architecture & Devops: Experience with modern cloud infrastructure (AWS, GCP, or OCI), containerization (Docker), and full stack CI/CD pipelines.
AI/ML Domain Knowledge: Experience working in AI/ML-focused environments, or interacting with LLM APIs, vector databases, and model orchestration tools (e.g., LangChain, LlamaIndex).
Startup Agility: Prior startup experience—especially as a technical founder or early engineer—is a major plus.
People Growth: Experience managing or mentoring other engineers, including providing performance feedback and supporting career development.
Developer Tooling: Prior experience building developer platforms, SaaS dashboards, or complex interactive environments like playgrounds and sandboxes.
Open Source: Contributions to open-source projects, internal component libraries, or developer tools.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nWe are looking for a Full Stack Software Engineering to architect, build, and scale our developer-focused web application (fireworks.ai) and shape our end-to-end technical architecture. This role blends hands-on engineering with technical leadership, offering the opportunity to mentor other engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment.\n\nYou'll play a key role in delivering scalable, elegant, and highly performant solutions that directly impact our hundreds of thousands of developers and product vision. You will be directly shaping and shipping the most optimal developer journey—spanning intuitive front-end interfaces, robust APIs, and efficient backend orchestration—combined with our large offering of open-source generative AI models, enabling our users to seamlessly build, experiment, and ship their AI workflows with our playground.\n\n\nKEY RESPONSIBILITIES\n\n - End-to-End Ownership: Engineering ownership of fireworks.ai from the user interface down to the API and data layer, with a strong focus on a delightful developer journey.\n\n - Product-Led Growth: Participate in the team’s shared accountability for product-led growth through the web application, model playground, and seamless user onboarding workflows.\n\n - Full Stack Development: Design, develop, and test responsive, performant web applications alongside robust, scalable backend services and APIs.\n\n - Leadership & Mentorship: Mentor and support a team of full stack, frontend, and backend engineers through code reviews, pair programming, and ongoing technical coaching.\n\n - Architectural Excellence: Define and implement full stack architectural standards, API design best practices, database schemas, and modern development workflows.\n\n - Cross-Functional Collaboration: Partner with Product, Design, and Core AI/Infrastructure Engineering to align on requirements, system design, timelines, and delivery expectations.\n\n - Systems & Components: Build and maintain reusable, scalable frontend component libraries while ensuring backend services are modular and easily integrated.\n\n - Unified Developer Experience: Partner with other engineering teams to build an aligned developer journey across web, SDK, and CLI surfaces.\n\n - Quality & Performance: Champion application performance, security, data integrity, and accessibility across the entire software stack.\n\n - Innovation: Drive innovation by staying informed of emerging full stack trends, cloud-native technologies, and AI orchestration frameworks.\n\n\nMINIMUM QUALIFICATIONS\n\n - Education: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.\n\n - Experience: 6+ years of professional experience in full stack software development.\n\n - Leadership: 2+ years of experience in a technical leadership role (e.g., tech lead, team lead, or engineering manager).\n\n - Frontend Proficiency: Strong expertise in React, TypeScript, JavaScript, and Next.js.\n\n - Backend Proficiency: Strong expertise in building server-side applications, designing RESTful or GraphQL APIs, and working with modern backend languages (e.g., Node.js, Python, Go).\n\n - Data Management: Solid understanding of database systems (SQL/NoSQL), caching strategies, and data modeling.\n\n - Track Record: Proven track record of delivering and scaling production-grade, full stack web applications.\n\n - Architecture & Devops: Experience with modern cloud infrastructure (AWS, GCP, or OCI), containerization (Docker), and full stack CI/CD pipelines.\n\n\nPREFERRED QUALIFICATIONS\n\n - AI/ML Domain Knowledge: Experience working in AI/ML-focused environments, or interacting with LLM APIs, vector databases, and model orchestration tools (e.g., LangChain, LlamaIndex).\n\n - Startup Agility: Prior startup experience—especially as a technical founder or early engineer—is a major plus.\n\n - People Growth: Experience managing or mentoring other engineers, including providing performance feedback and supporting career development.\n\n - Developer Tooling: Prior experience building developer platforms, SaaS dashboards, or complex interactive environments like playgrounds and sandboxes.\n\n - Open Source: Contributions to open-source projects, internal component libraries, or developer tools.\n\n\n\n\n\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"a2a1cdd0-c79c-4023-b8ba-3c1349aedbdb","title":"Strategic Pursuits Account Executive, AI Native","department":"Sales","team":"Account Executives - AI Native","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2026-06-05T17:31:22.687+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/a2a1cdd0-c79c-4023-b8ba-3c1349aedbdb","applyUrl":"https://jobs.ashbyhq.com/fireworks/a2a1cdd0-c79c-4023-b8ba-3c1349aedbdb/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We’re hiring an Strategic Pursuits Account Executive, AI Native to drive adoption of Fireworks within the most ambitious and strategic AI companies. This isn’t a traditional sales role: we’re looking for someone who can speak credibly to technical teams, identify high-impact use cases, and relentlessly pursue value creation for the customer. We are looking for highly motivated, networked, and technically adept individuals to serve as trusted advisors to our most important customers and prospects.
You’ll engage deeply with technical founders, ML leads, and product teams, helping them understand how Fireworks fits into their stack and guiding them through evaluation, onboarding, and scale-up. You’ll work in lockstep with our Applied AI team on key accounts, partner with product and ML specialists to architect the right technical approach, and run a clean commercial cycle with our GTM partners. You’ll be the quarterback of the account from initial POC through production at scale.
Technical Partnership & Execution
Lead technical and product discovery and conversations with founders, ML engineers, and infra leads.
Work closely with Field Engineering, Applied AI, Product and Research teams to shape tailored solutions, POCs, and fine-tuning approaches.
Translate customer feedback into actionable insights for Fireworks product and engineering with specificity and urgency.
Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts.
Deal Management & Commercial Execution
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Manage multiple concurrent accounts with fast iteration cycles. Prioritize ruthlessly, keep scope tight, and maintain momentum.
Structure and negotiate complex commercial terms.
Actively identify, engage, and qualify new prospects through executive and investor networks, industry events, and partnerships.
Run a disciplined operating cadence with your portfolio of customers: reviewing key trends, driving outcomes, and jointly planning the next phase of the partnership.
Executive Alignment and Ecosystem Presence
Own the relationship with key Strategic AI Native accounts, from first engagement through production deployment. Earn trust with ML engineers and Founders in the same meeting.
Nurture and shape strong executive relationships.
Be a visible representative of Fireworks in the AI startup ecosystem.
Have 7+ years of experience as a PM, strategic account executive, VC,, or previous management consulting experience focused on serving highly technical buyers and portfolio companies
Demonstrated ability to run multi-threaded customer engagements: mapping stakeholders, managing commercial cycles, and maintaining deal and relationship momentum
Technical fluency to lead discovery with ML engineers and infrastructure leads and ability to discuss open-source vs. proprietary models, model tuning, reserved capacity, and compliance requirements
Thrive in fast-moving environments and love engaging with leading startup founders and builders
Are proactive, persistent, and creative in breaking into accounts and building lasting relationships throughout the organization
Have strong communication skills and can earn trust with both engineers and executives
Want to be on the front lines of the AI movement and work closely with companies shaping the future
Help define AI Native Strategic Pursuits go-to-market for one of the fastest-growing AI infrastructure companies in the world
Work directly with the most innovative AI startups
Join a lean, high-impact GTM team where your work drives outsized influence on company trajectory
Build lasting relationships and help startups get real value from best-in-class infrastructure
Collaborate with world class engineers and operators building at the bleeding edge of AI
Competitive salary, equity in a fast-growing startup, comprehensive benefits package, and long-term upside
Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
OTE Pay Range (Plus Equity)
$300,000-$340,000 USD; 50/50 split + Stock Options
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe’re hiring an Strategic Pursuits Account Executive, AI Native to drive adoption of Fireworks within the most ambitious and strategic AI companies. This isn’t a traditional sales role: we’re looking for someone who can speak credibly to technical teams, identify high-impact use cases, and relentlessly pursue value creation for the customer. We are looking for highly motivated, networked, and technically adept individuals to serve as trusted advisors to our most important customers and prospects. \n\nYou’ll engage deeply with technical founders, ML leads, and product teams, helping them understand how Fireworks fits into their stack and guiding them through evaluation, onboarding, and scale-up. You’ll work in lockstep with our Applied AI team on key accounts, partner with product and ML specialists to architect the right technical approach, and run a clean commercial cycle with our GTM partners. You’ll be the quarterback of the account from initial POC through production at scale. \n\n\nRESPONSIBILITIES\n\nTechnical Partnership & Execution\n\n - Lead technical and product discovery and conversations with founders, ML engineers, and infra leads.\n\n - Work closely with Field Engineering, Applied AI, Product and Research teams to shape tailored solutions, POCs, and fine-tuning approaches.\n\n - Translate customer feedback into actionable insights for Fireworks product and engineering with specificity and urgency.\n\n - Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts.\n\nDeal Management & Commercial Execution\n\n - Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.\n\n - Manage multiple concurrent accounts with fast iteration cycles. Prioritize ruthlessly, keep scope tight, and maintain momentum.\n\n - Structure and negotiate complex commercial terms.\n\n - Actively identify, engage, and qualify new prospects through executive and investor networks, industry events, and partnerships.\n\n - Run a disciplined operating cadence with your portfolio of customers: reviewing key trends, driving outcomes, and jointly planning the next phase of the partnership.\n\nExecutive Alignment and Ecosystem Presence\n\n - Own the relationship with key Strategic AI Native accounts, from first engagement through production deployment. Earn trust with ML engineers and Founders in the same meeting.\n\n - Nurture and shape strong executive relationships.\n\n - Be a visible representative of Fireworks in the AI startup ecosystem.\n\n\nYOU MIGHT BE A FIT IF YOU\n\n - Have 7+ years of experience as a PM, strategic account executive, VC,, or previous management consulting experience focused on serving highly technical buyers and portfolio companies\n\n - Demonstrated ability to run multi-threaded customer engagements: mapping stakeholders, managing commercial cycles, and maintaining deal and relationship momentum \n\n - Technical fluency to lead discovery with ML engineers and infrastructure leads and ability to discuss open-source vs. proprietary models, model tuning, reserved capacity, and compliance requirements\n\n - Thrive in fast-moving environments and love engaging with leading startup founders and builders\n\n - Are proactive, persistent, and creative in breaking into accounts and building lasting relationships throughout the organization \n\n - Have strong communication skills and can earn trust with both engineers and executives\n\n - Want to be on the front lines of the AI movement and work closely with companies shaping the future\n\n\nWHY FIREWORKS\n\n - Help define AI Native Strategic Pursuits go-to-market for one of the fastest-growing AI infrastructure companies in the world\n\n - Work directly with the most innovative AI startups \n\n - Join a lean, high-impact GTM team where your work drives outsized influence on company trajectory\n\n - Build lasting relationships and help startups get real value from best-in-class infrastructure\n\n - Collaborate with world class engineers and operators building at the bleeding edge of AI\n\n - Competitive salary, equity in a fast-growing startup, comprehensive benefits package, and long-term upside\n\nBase salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\n\nOTE Pay Range (Plus Equity)\n\n$300,000-$340,000 USD; 50/50 split + Stock Options\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"1fc5eb25-08ad-4c82-aaee-5b903b9ab0ea","title":"AI Field Engineer, Singapore","department":"Sales","team":"Solution Architects","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-07-23T01:49:33.870+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Singapore","addressCountry":"Singapore","addressLocality":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/1fc5eb25-08ad-4c82-aaee-5b903b9ab0ea","applyUrl":"https://jobs.ashbyhq.com/fireworks/1fc5eb25-08ad-4c82-aaee-5b903b9ab0ea/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)
The Role
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.
The Segment
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.
What You'll Work On
Technical Delivery and Deployment
Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.
For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets
Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
Model Strategy and Fine-Tuning
Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.
Customer Engagement and Stakeholder Management
Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.
Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.
Product Feedback and Platform Improvement
Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.
Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.
Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.
What We're Looking For
Minimum Qualifications
5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.
Preferred Qualifications
10+ years in technical field or engineering roles.
Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.
Track record taking GenAI POCs from prototype to production-scale deployments.
Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).
Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nIn the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:\n\n - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think)\n\n - Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog https://fireworks.ai/blog/open-source-agents-frontier-advisors)\n\n - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) https://fireworks.ai/blog/fine-tuning-bottlenecks\n\nThe Role\n\nAI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.\n\nYou spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.\n\nThe Segment\n\nAs a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.\n\nWhat You'll Work On\n\nTechnical Delivery and Deployment\n\n - Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.\n\n - For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.\n\n - Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets\n\n - Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.\n\nModel Strategy and Fine-Tuning\n\n - Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.\n\n - Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.\n\n - Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.\n\nCustomer Engagement and Stakeholder Management\n\n - Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.\n\n - Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.\n\n - Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.\n\n - Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.\n\nProduct Feedback and Platform Improvement\n\n - Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.\n\n - Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.\n\n - Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.\n\nWhat We're Looking For\n\nMinimum Qualifications\n\n - 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.\n\n - Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.\n\n - Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.\n\n - Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).\n\n - Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.\n\n - Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.\n\nPreferred Qualifications\n\n - 10+ years in technical field or engineering roles.\n\n - Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.\n\n - Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.\n\n - Track record taking GenAI POCs from prototype to production-scale deployments.\n\n - Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).\n\n - Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"504591e5-fccd-4a7f-a9ca-81b51d2a5a12","title":"AI Field Engineer, EMEA","department":"Sales","team":"Solution Architects","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-07-22T22:31:35.153+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/504591e5-fccd-4a7f-a9ca-81b51d2a5a12","applyUrl":"https://jobs.ashbyhq.com/fireworks/504591e5-fccd-4a7f-a9ca-81b51d2a5a12/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)
The Role
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.
The Segment
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.
What You'll Work On
Technical Delivery and Deployment
Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.
For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets
Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
Model Strategy and Fine-Tuning
Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.
Customer Engagement and Stakeholder Management
Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.
Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.
Product Feedback and Platform Improvement
Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.
Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.
Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.
What We're Looking For
Minimum Qualifications
5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.
Preferred Qualifications
10+ years in technical field or engineering roles.
Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.
Track record taking GenAI POCs from prototype to production-scale deployments.
Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).
Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nIn the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:\n\n - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think)\n\n - Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog https://fireworks.ai/blog/open-source-agents-frontier-advisors)\n\n - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) https://fireworks.ai/blog/fine-tuning-bottlenecks\n\nThe Role\n\nAI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.\n\nYou spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.\n\nThe Segment\n\nAs a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.\n\nWhat You'll Work On\n\nTechnical Delivery and Deployment\n\n - Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.\n\n - For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.\n\n - Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets\n\n - Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.\n\nModel Strategy and Fine-Tuning\n\n - Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.\n\n - Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.\n\n - Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.\n\nCustomer Engagement and Stakeholder Management\n\n - Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.\n\n - Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.\n\n - Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.\n\n - Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.\n\nProduct Feedback and Platform Improvement\n\n - Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.\n\n - Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.\n\n - Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.\n\nWhat We're Looking For\n\nMinimum Qualifications\n\n - 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.\n\n - Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.\n\n - Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.\n\n - Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).\n\n - Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.\n\n - Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.\n\nPreferred Qualifications\n\n - 10+ years in technical field or engineering roles.\n\n - Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.\n\n - Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.\n\n - Track record taking GenAI POCs from prototype to production-scale deployments.\n\n - Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).\n\n - Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"97c46be2-f72e-41ae-aa0f-a82a841897b9","title":"AI Forward Deployed Engineer EMEA","department":"Engineering","team":"AMLE","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-28T17:35:26.430+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/97c46be2-f72e-41ae-aa0f-a82a841897b9","applyUrl":"https://jobs.ashbyhq.com/fireworks/97c46be2-f72e-41ae-aa0f-a82a841897b9/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As an AI Forward Deployed Engineer, you are the technical owner of a customer deployment. You embed with a small number of accounts, write code in their environment, and unblock whatever stands between them and production on Fireworks: capacity, model selection, integration, latency, cost. You scope high-stakes deals before signature and then deliver what you scoped. This role suits engineers with a founder CTO mentality who genuinely enjoy customer work.
What we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.
Deployment Ownership: Own the technical outcome of customer deployments end to end, from architecture through production.
Embedded Pilots: Design, scope, and run proof-of-value pilots inside customer environments, with clear success criteria.
Pre-Signature Scoping: Act as the technical owner on complex deals (dedicated deployments, BYOC, compliance-sensitive architectures) and carry them through delivery.
Unblocking: Diagnose and resolve capacity, performance, integration, and model selection issues, pulling in specialists where needed.
Model and Platform Fit: Guide customers to the right models, deployment tiers, and optimization paths (e.g. quantization, speculative decoding, fine-tuning handoff to AMLEs).
Product Signal: Feed structured, prioritized signal from the field back to product and engineering.
First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.
Bachelor's degree in Computer Science, Engineering, or a related technical field.
3+ years of experience as a software engineer, with depth in backend systems and infrastructure.
Strong coding skills in Python and at least one systems language; comfortable shipping in unfamiliar codebases and customer environments.
Fluent in AI-assisted and agentic engineering: uses coding agents and AI tooling as a core part of how you build, and knows when to trust the output and when not to.
Working knowledge of modern generative AI: inference, serving, and the tradeoffs across models and deployment options.
Proven ability to own ambiguous technical problems under time pressure and drive them to resolution.
Genuine appetite for customer-facing work and strong communication with senior technical stakeholders.
Founder or founding engineer experience, especially as a technical co-founder or CTO.
Experience with GPU infrastructure, distributed serving, or performance engineering.
Prior forward deployed, solutions architecture, or professional services experience at a technical product company.
Experience in a startup or fast-paced environment.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs an AI Forward Deployed Engineer, you are the technical owner of a customer deployment. You embed with a small number of accounts, write code in their environment, and unblock whatever stands between them and production on Fireworks: capacity, model selection, integration, latency, cost. You scope high-stakes deals before signature and then deliver what you scoped. This role suits engineers with a founder CTO mentality who genuinely enjoy customer work.\n\nWhat we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.\n\n\n\nKEY RESPONSIBILITIES:\n\n - Deployment Ownership: Own the technical outcome of customer deployments end to end, from architecture through production.\n\n - Embedded Pilots: Design, scope, and run proof-of-value pilots inside customer environments, with clear success criteria.\n\n - Pre-Signature Scoping: Act as the technical owner on complex deals (dedicated deployments, BYOC, compliance-sensitive architectures) and carry them through delivery.\n\n - Unblocking: Diagnose and resolve capacity, performance, integration, and model selection issues, pulling in specialists where needed.\n\n - Model and Platform Fit: Guide customers to the right models, deployment tiers, and optimization paths (e.g. quantization, speculative decoding, fine-tuning handoff to AMLEs).\n\n - Product Signal: Feed structured, prioritized signal from the field back to product and engineering.\n\n\nMINIMUM REQUIREMENTS: \n\n - First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.\n\n - Bachelor's degree in Computer Science, Engineering, or a related technical field.\n\n - 3+ years of experience as a software engineer, with depth in backend systems and infrastructure.\n\n - Strong coding skills in Python and at least one systems language; comfortable shipping in unfamiliar codebases and customer environments.\n\n - Fluent in AI-assisted and agentic engineering: uses coding agents and AI tooling as a core part of how you build, and knows when to trust the output and when not to.\n\n - Working knowledge of modern generative AI: inference, serving, and the tradeoffs across models and deployment options.\n\n - Proven ability to own ambiguous technical problems under time pressure and drive them to resolution.\n\n - Genuine appetite for customer-facing work and strong communication with senior technical stakeholders.\n\n\nPREFERRED QUALIFICATIONS: \n\n - Founder or founding engineer experience, especially as a technical co-founder or CTO.\n\n - Experience with GPU infrastructure, distributed serving, or performance engineering.\n\n - Prior forward deployed, solutions architecture, or professional services experience at a technical product company.\n\n - Experience in a startup or fast-paced environment.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"e5a9746e-49ac-407f-b953-5cf3c08a7802","title":"Applied Machine Learning Engineer, EMEA","department":"Engineering","team":"AMLE","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-07-23T01:17:50.806+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/e5a9746e-49ac-407f-b953-5cf3c08a7802","applyUrl":"https://jobs.ashbyhq.com/fireworks/e5a9746e-49ac-407f-b953-5cf3c08a7802/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.
Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.
New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.
Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
Robust coding skills required, preferably with proficiency in Python.
Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Master’s degree in Computer Science, Engineering, or a related technical field.
Experience working in a startup or fast-paced environment.
Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.\n\n\nKEY RESPONSIBILITIES:\n\n - Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.\n\n - Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology.\n\n - Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.\n\n - Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues.\n\n - New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.\n\n - Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications.\n\n - Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor’s degree in Computer Science, Engineering, or a related technical field.\n\n - 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.\n\n - Robust coding skills required, preferably with proficiency in Python.\n\n - Demonstrated ability to lead and execute complex technical projects with a focus on customer success.\n\n - Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.\n\n\nPREFERRED QUALIFICATIONS:\n\n - Master’s degree in Computer Science, Engineering, or a related technical field.\n\n - Experience working in a startup or fast-paced environment.\n\n - Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).\n\n - Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"0e0c2c47-6aa2-4b8c-98f9-19fc51bc2ea2","title":"Enterprise Account Executive, Singapore","department":"Sales","team":"Account Executives - Enterprise","employmentType":"FullTime","location":"Singapore","secondaryLocations":[],"publishedAt":"2026-07-23T01:58:08.696+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Singapore","addressCountry":"Singapore","addressLocality":"Singapore"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/0e0c2c47-6aa2-4b8c-98f9-19fc51bc2ea2","applyUrl":"https://jobs.ashbyhq.com/fireworks/0e0c2c47-6aa2-4b8c-98f9-19fc51bc2ea2/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.
Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts
Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market
Focus on pipeline generation within your targeted accounts to ensure long-term success
Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close
Manage the entire sales cycle from prospecting to procurement
Forecast accurately and leverage internal resources to hit your annual quota efficiently
Regularly update all active accounts, reporting on sales activities, status, and progress
Maintain a high level of customer satisfaction and referenceability
Travel for client visits and presentations as needed
Bachelor’s degree or equivalent years of working experience
5+ years of progressive SaaS software sales experience, with a proven \"hunter\" mentality
2+ years experience selling SaaS products to a technical audience
Demonstrated success in closing business in large complex enterprise accounts
Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment
Outstanding verbal and written communication skills
Fireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in London, UK for this role is £200,000 - £240,000 per year.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nWe are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.\n\n\nKEY RESPONSIBILITIES:\n\n - Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts\n\n - Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market\n\n - Focus on pipeline generation within your targeted accounts to ensure long-term success\n\n - Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close\n\n - Manage the entire sales cycle from prospecting to procurement\n\n - Forecast accurately and leverage internal resources to hit your annual quota efficiently\n\n - Regularly update all active accounts, reporting on sales activities, status, and progress\n\n - Maintain a high level of customer satisfaction and referenceability\n\n - Travel for client visits and presentations as needed\n\n\nMINIMUM REQUIREMENTS:\n\n - Bachelor’s degree or equivalent years of working experience \n\n - 5+ years of progressive SaaS software sales experience, with a proven \"hunter\" mentality\n\n - 2+ years experience selling SaaS products to a technical audience\n\n - Demonstrated success in closing business in large complex enterprise accounts\n\n - Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment\n\n - Outstanding verbal and written communication skills\n\nFireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in London, UK for this role is £200,000 - £240,000 per year.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"58083381-6c71-4d58-9014-bd2bcb3e1e85","title":"Paid Growth Marketer","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-06-11T17:33:27.925+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/58083381-6c71-4d58-9014-bd2bcb3e1e85","applyUrl":"https://jobs.ashbyhq.com/fireworks/58083381-6c71-4d58-9014-bd2bcb3e1e85/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About the Role
Fireworks is building one of the most important infrastructure platforms in AI. Just like frontier open-source inference enables sustainable unit economics for our customers, we are building a sustainable growth engine to drive demand gen for the Fireworks business. We're hiring a Paid Growth Marketer to lead all paid marketing programs across the full funnel, from awareness to engagement and activation.
This is a hands-on role. You'll manage multi-million dollar budgets with analytical rigor, build the measurement infrastructure that connects spend to pipeline, and develop Fireworks' internal capacity for structured paid experimentation. You'll also think strategically about where the paid landscape is heading and position us ahead of it.
You'll report into the Director of Growth and partner closely with Sales and Product to align paid programs with product launches, sales cycles, and ICP targeting. The ideal candidate will bring a strong growth mindset to everything they do, using AI as a productivity accelerant to move faster and operate more effectively than any traditional paid marketer could.
Responsibilities
Own paid strategy and execution across paid search, social, display, OOH, and developer-focused channels
Manage and optimize a multi-million dollar ad budget, with full accountability for efficiency and attributable pipeline.
Build and maintain attribution and measurement frameworks that connect spend to pipeline with real signal
Lead Fireworks' paid experimentation program — hypothesis, execution, readout, iteration
Partner with Sales, Product, and Finance teams to align paid programs with cross-functional dependencies.
Track the evolution of the advertising ecosystem and proactively build that thinking into our roadmap.
You Might Be a Fit If You
Have 6+ years of hands-on paid marketing experience, including direct ownership of multi-million dollar annual budgets
Have driven measurable, efficient growth for a B2B SaaS or developer-facing product(s)
Are analytically fluent and can pull your own data and share insights succinctly.
Have built and run structured experimentation programs within cross-functional teams
Actively use AI tools to accelerate your work and see that as a core part of how great marketers operate today
Communicate clearly and concisely: you can align a sales partner, brief a product manager, and update leadership without losing the thread
Adept at navigating ambiguity and bias to action; the paid playbook here is still being written and you're excited to write it
Preferred Qualifications
Experience marketing developer tools, APIs, or infrastructure products
Familiarity with the API inference provider ecosystem
Experience standing up or evolving marketing measurement infrastructure
Why Fireworks
Join a lean, high-impact marketing team where your work directly drives company growth
Own a meaningful budget and build programs from the ground up
Collaborate with world-class engineers, researchers, and operators at the frontier of AI
Competitive base salary, strong equity, and long-term upside
On Target Earnings (Plus Equity)
$160,000 - $190,000 USD
Total compensation also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nAbout the Role\n\nFireworks is building one of the most important infrastructure platforms in AI. Just like frontier open-source inference enables sustainable unit economics for our customers, we are building a sustainable growth engine to drive demand gen for the Fireworks business. We're hiring a Paid Growth Marketer to lead all paid marketing programs across the full funnel, from awareness to engagement and activation.\n\nThis is a hands-on role. You'll manage multi-million dollar budgets with analytical rigor, build the measurement infrastructure that connects spend to pipeline, and develop Fireworks' internal capacity for structured paid experimentation. You'll also think strategically about where the paid landscape is heading and position us ahead of it.\n\nYou'll report into the Director of Growth and partner closely with Sales and Product to align paid programs with product launches, sales cycles, and ICP targeting. The ideal candidate will bring a strong growth mindset to everything they do, using AI as a productivity accelerant to move faster and operate more effectively than any traditional paid marketer could.\n\nResponsibilities\n\n - Own paid strategy and execution across paid search, social, display, OOH, and developer-focused channels\n\n - Manage and optimize a multi-million dollar ad budget, with full accountability for efficiency and attributable pipeline.\n\n - Build and maintain attribution and measurement frameworks that connect spend to pipeline with real signal\n\n - Lead Fireworks' paid experimentation program — hypothesis, execution, readout, iteration\n\n - Partner with Sales, Product, and Finance teams to align paid programs with cross-functional dependencies.\n\n - Track the evolution of the advertising ecosystem and proactively build that thinking into our roadmap.\n\nYou Might Be a Fit If You\n\n - Have 6+ years of hands-on paid marketing experience, including direct ownership of multi-million dollar annual budgets\n\n - Have driven measurable, efficient growth for a B2B SaaS or developer-facing product(s)\n\n - Are analytically fluent and can pull your own data and share insights succinctly.\n\n - Have built and run structured experimentation programs within cross-functional teams\n\n - Actively use AI tools to accelerate your work and see that as a core part of how great marketers operate today\n\n - Communicate clearly and concisely: you can align a sales partner, brief a product manager, and update leadership without losing the thread\n\n - Adept at navigating ambiguity and bias to action; the paid playbook here is still being written and you're excited to write it\n\nPreferred Qualifications\n\n - Experience marketing developer tools, APIs, or infrastructure products\n\n - Familiarity with the API inference provider ecosystem\n\n - Experience standing up or evolving marketing measurement infrastructure\n\nWhy Fireworks\n\n - Join a lean, high-impact marketing team where your work directly drives company growth\n\n - Own a meaningful budget and build programs from the ground up\n\n - Collaborate with world-class engineers, researchers, and operators at the frontier of AI\n\n - Competitive base salary, strong equity, and long-term upside\n\nOn Target Earnings (Plus Equity)\n\n$160,000 - $190,000 USD\n\nTotal compensation also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"d37e5839-a4fb-4cf0-8e76-b1684d211da0","title":"Head of Sales Strategy & Analytics","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2026-06-11T17:56:53.566+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/d37e5839-a4fb-4cf0-8e76-b1684d211da0","applyUrl":"https://jobs.ashbyhq.com/fireworks/d37e5839-a4fb-4cf0-8e76-b1684d211da0/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Our GTM organization is scaling fast and needs a strategic and analytical foundation to match. In this role you will lead our Sales Strategy and Revenue Analytics pillars, reporting to the VP of Revenue Operations. This role requires someone who has operated in a consumption or usage-based business and understands how that changes forecasting, territory design, and what good GTM metrics actually look like.
You'll own the foundation the GTM org runs on: operating model, territory and coverage design, revenue and GPU forecasting, QBR/WBR operating cadence, and the repeatable sales motions that turn annual strategy into quarterly execution. You'll be a strategic partner to sales leadership and a connector across Sales, Finance, Data, and Product.
You'll set the operating model, defend it with data, and change it when the business changes. We want someone who measures their impact in decisions changed, not decks delivered.
Own how the GTM organization is structured to win: segment coverage, territory design, rules of engagement across GTM and Product, and quota-setting philosophy. Translate annual targets into territory plans that give every rep a fair book and every segment the right level of coverage. Revisit and adjust as the business evolves.
Build and own the forecasting process across bookings, renewals, and consumption in partnership with Finance, Sales, and Data. Establish a methodology that works for a business where committed ARR and consumption expansion behave differently. Deliver forecasts leadership can trust, with clear variance explanation and recommended actions.
Run the QBR, WBR, and planning forums that keep the GTM organization aligned, accountable, and moving. Design the cadence, own the agenda, and make sure the output is decisions and actions, not status updates. Act as a strategic advisor to GTM leaders, surfacing pipeline risk and growth opportunity before it shows up in results.
Define and execute a consistent sales process across account planning, territory planning, and pipeline generation. Turn what works into a playbook. Instrument it so performance is visible, coaching is targeted, and the team gets better over time.
10+ years in Revenue Strategy, Sales Strategy, Sales Operations, or Revenue Operations at B2B companies
Has owned an end-to-end forecasting process, not just contributed to one
Has designed territory and quota models at scale
Has built and led a team with direct reports across strategy or analytics functions
Strong analytical foundation: can build a model from scratch, not just interpret one
Experience at a usage-based, consumption, or API-first company
Has run strategy and operations across both enterprise and PLG/product-led motions simultaneously
Comfortable presenting to CFO, board, and executive team with well-reasoned variance analysis
Has worked at an AI/ML infrastructure, developer tools, or high-growth technical B2B company
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nOur GTM organization is scaling fast and needs a strategic and analytical foundation to match. In this role you will lead our Sales Strategy and Revenue Analytics pillars, reporting to the VP of Revenue Operations. This role requires someone who has operated in a consumption or usage-based business and understands how that changes forecasting, territory design, and what good GTM metrics actually look like.\n\nYou'll own the foundation the GTM org runs on: operating model, territory and coverage design, revenue and GPU forecasting, QBR/WBR operating cadence, and the repeatable sales motions that turn annual strategy into quarterly execution. You'll be a strategic partner to sales leadership and a connector across Sales, Finance, Data, and Product.\n\nYou'll set the operating model, defend it with data, and change it when the business changes. We want someone who measures their impact in decisions changed, not decks delivered.\n\n\nWHAT YOU'LL OWN\n\n\n1. GTM OPERATING MODEL AND TERRITORY/ROE DESIGN\n\nOwn how the GTM organization is structured to win: segment coverage, territory design, rules of engagement across GTM and Product, and quota-setting philosophy. Translate annual targets into territory plans that give every rep a fair book and every segment the right level of coverage. Revisit and adjust as the business evolves.\n\n\n2. REVENUE AND GPU FORECASTING\n\nBuild and own the forecasting process across bookings, renewals, and consumption in partnership with Finance, Sales, and Data. Establish a methodology that works for a business where committed ARR and consumption expansion behave differently. Deliver forecasts leadership can trust, with clear variance explanation and recommended actions.\n\n\n3. BUSINESS PARTNERSHIP AND OPERATING CADENCE\n\nRun the QBR, WBR, and planning forums that keep the GTM organization aligned, accountable, and moving. Design the cadence, own the agenda, and make sure the output is decisions and actions, not status updates. Act as a strategic advisor to GTM leaders, surfacing pipeline risk and growth opportunity before it shows up in results.\n\n\n4. SALES PROCESS INTO REPEATABLE MOTIONS\n\nDefine and execute a consistent sales process across account planning, territory planning, and pipeline generation. Turn what works into a playbook. Instrument it so performance is visible, coaching is targeted, and the team gets better over time.\n\n\nMINIMUM QUALIFICATIONS\n\n - 10+ years in Revenue Strategy, Sales Strategy, Sales Operations, or Revenue Operations at B2B companies\n\n - Has owned an end-to-end forecasting process, not just contributed to one\n\n - Has designed territory and quota models at scale\n\n - Has built and led a team with direct reports across strategy or analytics functions\n\n - Strong analytical foundation: can build a model from scratch, not just interpret one\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience at a usage-based, consumption, or API-first company\n\n - Has run strategy and operations across both enterprise and PLG/product-led motions simultaneously\n\n - Comfortable presenting to CFO, board, and executive team with well-reasoned variance analysis\n\n - Has worked at an AI/ML infrastructure, developer tools, or high-growth technical B2B company\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"4a5dbfe4-b0d5-4394-a94b-42345fb425b4","title":"AI Field Engineer - Strategic Partnerships","department":"Sales","team":"Solution Architects","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-11T18:19:24.929+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/4a5dbfe4-b0d5-4394-a94b-42345fb425b4","applyUrl":"https://jobs.ashbyhq.com/fireworks/4a5dbfe4-b0d5-4394-a94b-42345fb425b4/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)
The Role
As an AI Field Engineer for Strategic Partnerships, you will be one of the technical owners of Fireworks' most strategic partnership. You’ll work closely with Strategic Partner field teams, Partner-aligned ISVs, and the SIs that run enterprise AI transformation programs to make Fireworks the default inference and fine-tuning layer in every Partner AI architecture. The role sits at the intersection of engineering, partner development, and customer delivery. You build reference architectures, run benchmarks, debug production integrations, and co-develop POCs — all while holding your own in executive-level conversations about strategy, roadmap, and business outcomes.
You spend most of your time building and enabling. You ship code, run joint POCs with Partner field teams, and architect deployments that span Strategic Partners and Fireworks. But you also lead discovery conversations, align partner stakeholders, and translate field signals into product improvements that compress the feedback loop from partner to roadmap.
The Segment
As a Field Engineer aligned with our Partnerships team you own the technical relationship between Fireworks and the Partner ecosystems, Partner field teams, ISVs building on Strategic Partners, and the SIs that deliver AI transformation programs on Strategic Partners. As an example, the Microsoft partnership is a core go-to-market bet: clients like UIPath, Stack Blitz, Motif run via Fireworks on Foundry.. Your job is to scale that pattern across the partner ecosystem. These engagements involve large, multi-stakeholder organizations, so you will need to navigate both the enterprise buyer (IT, security, compliance) and the builder (ML engineers, platform teams, app developers), while building the trusted-advisor relationships inside Microsoft's field that multiply your reach.
What You'll Work On
Technical Delivery and Deployment
Be the technical lead on co-sell motions with Strategic Partners — joint reference architectures, partner integration patterns, and shared POCs for strategic accounts.
Build end-to-end POCs and MVPs alongside partner engineering teams, working inside their codebases, infrastructure, and constraints.
Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets.
Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
Model Strategy and Fine-Tuning
Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores
Product Feedback and Platform Improvement
Own the feedback loop — surface partner-driven product gaps to Fireworks engineering, and translate the roadmap back into partner messaging.
Ship external technical content: reference architectures, integration guides, and benchmark posts that make it easy for partners to win deals with us.
Track pipeline health; flag risks and opportunities to Field leadership weekly
What We're Looking For:
Minimum Qualifications
3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Hands-on fluency with LLM inference: latency/throughput tradeoffs, batching strategies, quantization, structured outputs, function calling. You can explain why 50ms p99 matters to an enterprise CTO.
Real experience with fine-tuning — LoRA at minimum, RFT a strong plus. You understand when SFT is enough and when it isn't.
Deep familiarity with the Azure AI stack: Azure Foundry, Azure OpenAI Service, Azure ML, AKS, Entra/RBAC for AI workloads. You know where Fireworks fits and where it doesn't.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.
Preferred Qualifications
5+ years in technical field or engineering roles where you've owned a technical relationship with a hyperscaler or major SI, not just supported one
Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
Prior role at a hyperscaler, AI-native cloud, or inference provider.
Deep familiarity with other strategic partner stacks: Platforms for AI workloads, network, and identity integration patterns. You know where Fireworks fits and where it doesn't.
Experience with agentic frameworks (LangChain, LlamaIndex, or custom tool-use pipelines) — you understand how inference latency and reliability shapes agent behavior at scale.
Background in model evaluation — you understand why benchmark gaming is rampant and what rigorous evals actually look like.
You've written a technical blog post or reference architecture that people actually read.
Track record taking GenAI POCs from prototype to production-scale deployments.
On-Target Expectations (Plus Equity)
$200,000 - $260,000 USD
Total compensation also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nIn the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:\n\n - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think)\n\n - Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog https://fireworks.ai/blog/open-source-agents-frontier-advisors)\n\n - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) https://fireworks.ai/blog/fine-tuning-bottlenecks\n\nThe Role\n\nAs an AI Field Engineer for Strategic Partnerships, you will be one of the technical owners of Fireworks' most strategic partnership. You’ll work closely with Strategic Partner field teams, Partner-aligned ISVs, and the SIs that run enterprise AI transformation programs to make Fireworks the default inference and fine-tuning layer in every Partner AI architecture. The role sits at the intersection of engineering, partner development, and customer delivery. You build reference architectures, run benchmarks, debug production integrations, and co-develop POCs — all while holding your own in executive-level conversations about strategy, roadmap, and business outcomes.\n\nYou spend most of your time building and enabling. You ship code, run joint POCs with Partner field teams, and architect deployments that span Strategic Partners and Fireworks. But you also lead discovery conversations, align partner stakeholders, and translate field signals into product improvements that compress the feedback loop from partner to roadmap.\n\nThe Segment\n\nAs a Field Engineer aligned with our Partnerships team you own the technical relationship between Fireworks and the Partner ecosystems, Partner field teams, ISVs building on Strategic Partners, and the SIs that deliver AI transformation programs on Strategic Partners. As an example, the Microsoft partnership is a core go-to-market bet: clients like UIPath, Stack Blitz, Motif run via Fireworks on Foundry.. Your job is to scale that pattern across the partner ecosystem. These engagements involve large, multi-stakeholder organizations, so you will need to navigate both the enterprise buyer (IT, security, compliance) and the builder (ML engineers, platform teams, app developers), while building the trusted-advisor relationships inside Microsoft's field that multiply your reach.\n\nWhat You'll Work On\n\nTechnical Delivery and Deployment\n\n - Be the technical lead on co-sell motions with Strategic Partners — joint reference architectures, partner integration patterns, and shared POCs for strategic accounts.\n\n - Build end-to-end POCs and MVPs alongside partner engineering teams, working inside their codebases, infrastructure, and constraints.\n\n - Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets.\n\n - Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.\n\nModel Strategy and Fine-Tuning\n\n - Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.\n\n - Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.\n\n - Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores\n\nProduct Feedback and Platform Improvement\n\n - Own the feedback loop — surface partner-driven product gaps to Fireworks engineering, and translate the roadmap back into partner messaging.\n\n - Ship external technical content: reference architectures, integration guides, and benchmark posts that make it easy for partners to win deals with us.\n\n - Track pipeline health; flag risks and opportunities to Field leadership weekly\n\nWhat We're Looking For:\n\nMinimum Qualifications\n\n - 3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role.\n\n - Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.\n\n - Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.\n\n - Hands-on fluency with LLM inference: latency/throughput tradeoffs, batching strategies, quantization, structured outputs, function calling. You can explain why 50ms p99 matters to an enterprise CTO.\n\n - Real experience with fine-tuning — LoRA at minimum, RFT a strong plus. You understand when SFT is enough and when it isn't.\n\n - Deep familiarity with the Azure AI stack: Azure Foundry, Azure OpenAI Service, Azure ML, AKS, Entra/RBAC for AI workloads. You know where Fireworks fits and where it doesn't.\n\n - Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.\n\nPreferred Qualifications\n\n - 5+ years in technical field or engineering roles where you've owned a technical relationship with a hyperscaler or major SI, not just supported one\n\n - Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.\n\n - Prior role at a hyperscaler, AI-native cloud, or inference provider.\n\n - Deep familiarity with other strategic partner stacks: Platforms for AI workloads, network, and identity integration patterns. You know where Fireworks fits and where it doesn't.\n\n - Experience with agentic frameworks (LangChain, LlamaIndex, or custom tool-use pipelines) — you understand how inference latency and reliability shapes agent behavior at scale.\n\n - Background in model evaluation — you understand why benchmark gaming is rampant and what rigorous evals actually look like.\n\n - You've written a technical blog post or reference architecture that people actually read.\n\n - Track record taking GenAI POCs from prototype to production-scale deployments.\n\nOn-Target Expectations (Plus Equity)\n\n$200,000 - $260,000 USD\n\nTotal compensation also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"6746dfde-8f8d-4a13-9961-7ae1e222a4c0","title":"Member of Technical Staff","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-06-11T20:55:59.247+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/6746dfde-8f8d-4a13-9961-7ae1e222a4c0","applyUrl":"https://jobs.ashbyhq.com/fireworks/6746dfde-8f8d-4a13-9961-7ae1e222a4c0/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Training Infrastructure Engineer, you'll design, develop, and maintain large-scale backend and cloud-native infrastructure to support distributed machine learning training, inference, and data processing pipelines for our generative AI platform. You'll architect scalable, resilient backend infrastructure, lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems.
Architect and build scalable, resilient backend infrastructure to support distributed training, inference, and data processing pipelines
Lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems
Design and implement core backend services with a focus on efficiency and low latency
Drive infrastructure optimization initiatives for compute cost, storage lifecycle management, and network performance
Collaborate with machine learning, DevOps, and product teams to translate research and product requirements into robust infrastructure solutions
Evaluate and integrate cloud-native and open-source technologies such as Kubernetes, Ray, Kubeflow, and MLFlow to enhance platform reliability
Own end-to-end systems from design to deployment, emphasizing reliability, fault tolerance, and operational excellence
Bachelor's degree or equivalent in Computer Science or related field plus four (4) years of experience in software engineering or related role
4 years of experience designing, building, and optimizing large-scale backend infrastructure and distributed data systems (e.g., PostgreSQL, MySQL, DynamoDB, Apache Spark, Apache Flink, Apache Kafka) in cloud environments (AWS, GCP, Azure, or equivalent), including cloud-native platforms, core infrastructure components, and optimization techniques (caching, indexing, sharding, replication, transactions, ACID)
4 years of experience with major server-side programming languages and frameworks (e.g., Python, C++, Go, TypeScript)
4 years of experience writing technical design documentation, leading cross-functional projects, and collaborating with cross-functional teams to achieve business impact
3 years of experience developing and maintaining data processing and API systems, including client-server communication frameworks (e.g., gRPC, Thrift)
3 years of experience conducting A/B testing and scientific experimentation (e.g., Statsig, Meta Deltoid, Optimizely) to measure software impact
3 years of experience conducting coding interviews and providing systematic feedback for engineering candidates
2 years of experience with cloud-native tools and infrastructure, such as Docker and Kubernetes
2 years of experience defining and implementing data-driven metrics to support company or team goals
How to Apply: Submit resume and apply online at http://www.fireworks.ai/careers and search for job by title.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs a Training Infrastructure Engineer, you'll design, develop, and maintain large-scale backend and cloud-native infrastructure to support distributed machine learning training, inference, and data processing pipelines for our generative AI platform. You'll architect scalable, resilient backend infrastructure, lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems.\n\n\nKEY RESPONSIBILITIES:\n\n - Architect and build scalable, resilient backend infrastructure to support distributed training, inference, and data processing pipelines\n\n - Lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems\n\n - Design and implement core backend services with a focus on efficiency and low latency\n\n - Drive infrastructure optimization initiatives for compute cost, storage lifecycle management, and network performance\n\n - Collaborate with machine learning, DevOps, and product teams to translate research and product requirements into robust infrastructure solutions\n\n - Evaluate and integrate cloud-native and open-source technologies such as Kubernetes, Ray, Kubeflow, and MLFlow to enhance platform reliability\n\n - Own end-to-end systems from design to deployment, emphasizing reliability, fault tolerance, and operational excellence\n\n\nMINIMUM QUALIFICATIONS:\n\n - Bachelor's degree or equivalent in Computer Science or related field plus four (4) years of experience in software engineering or related role\n\n - 4 years of experience designing, building, and optimizing large-scale backend infrastructure and distributed data systems (e.g., PostgreSQL, MySQL, DynamoDB, Apache Spark, Apache Flink, Apache Kafka) in cloud environments (AWS, GCP, Azure, or equivalent), including cloud-native platforms, core infrastructure components, and optimization techniques (caching, indexing, sharding, replication, transactions, ACID)\n\n - 4 years of experience with major server-side programming languages and frameworks (e.g., Python, C++, Go, TypeScript)\n\n - 4 years of experience writing technical design documentation, leading cross-functional projects, and collaborating with cross-functional teams to achieve business impact\n\n - 3 years of experience developing and maintaining data processing and API systems, including client-server communication frameworks (e.g., gRPC, Thrift)\n\n - 3 years of experience conducting A/B testing and scientific experimentation (e.g., Statsig, Meta Deltoid, Optimizely) to measure software impact\n\n - 3 years of experience conducting coding interviews and providing systematic feedback for engineering candidates\n\n - 2 years of experience with cloud-native tools and infrastructure, such as Docker and Kubernetes\n\n - 2 years of experience defining and implementing data-driven metrics to support company or team goals\n\nHow to Apply: Submit resume and apply online at http://www.fireworks.ai/careers and search for job by title.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"7730b5a4-0b58-46c7-bcff-61a929a3d1bd","title":"AI Field Engineer - AI Natives","department":"Sales","team":"Solution Architects","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-09T22:35:54.106+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/7730b5a4-0b58-46c7-bcff-61a929a3d1bd","applyUrl":"https://jobs.ashbyhq.com/fireworks/7730b5a4-0b58-46c7-bcff-61a929a3d1bd/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.
The Segment
As a Field Engineer in the AI Native segment you will work with the most innovative AI-native companies building at the frontier, where GenAI is the core product, not a feature, and where Fireworks is the platform they depend on to ship and scale it. These engagements move fast with fewer stakeholders, so you will spend more time in the code and iterate alongside their engineering teams, while still holding executive-level conversations on architecture and strategy. You will embed deeply with a small set of high-velocity accounts where the quality of your engineering is the relationship.
What You'll Work On
Technical Delivery and Deployment
Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.
For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets
Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
Model Strategy and Fine-Tuning
Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.
Customer Engagement and Stakeholder Management
Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Own the technical relationship from first engagement through production deployment. Embed with their engineering team as a peer, your credibility comes from what you build alongside them.
Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.
Product Feedback and Platform Improvement
Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.
Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.
Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.
Minimum Qualifications
5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.
Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.
Preferred Qualifications
10+ years in technical field or engineering roles.
Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
Prior experience at a company with a forward-deployed or embedded engineering model (Palantir, Scale AI, Anthropic, OpenAI, BCG X, McKinsey Quantum Black, AI Native startups with FDE motions).
Prior experience as a technical founder or early engineer at an AI-native company is a strong signal.
Track record taking GenAI POCs from prototype to production-scale deployments.
Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nIn the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:\n\n - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think)\n\n - Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog https://fireworks.ai/blog/open-source-agents-frontier-advisors)\n\n - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) https://fireworks.ai/blog/fine-tuning-bottlenecks\n\n\nTHE ROLE:\n\nAI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.\n\nYou spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.\n\nThe Segment\n\nAs a Field Engineer in the AI Native segment you will work with the most innovative AI-native companies building at the frontier, where GenAI is the core product, not a feature, and where Fireworks is the platform they depend on to ship and scale it. These engagements move fast with fewer stakeholders, so you will spend more time in the code and iterate alongside their engineering teams, while still holding executive-level conversations on architecture and strategy. You will embed deeply with a small set of high-velocity accounts where the quality of your engineering is the relationship.\n\nWhat You'll Work On\n\nTechnical Delivery and Deployment\n\n - Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.\n\n - For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.\n\n - Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets\n\n - Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.\n\nModel Strategy and Fine-Tuning\n\n - Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.\n\n - Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.\n\n - Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.\n\nCustomer Engagement and Stakeholder Management\n\n - Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.\n\n - Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.\n\n - Own the technical relationship from first engagement through production deployment. Embed with their engineering team as a peer, your credibility comes from what you build alongside them.\n\n - Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.\n\nProduct Feedback and Platform Improvement\n\n - Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.\n\n - Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.\n\n - Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.\n\n\nWHAT WE'RE LOOKING FOR:\n\nMinimum Qualifications\n\n - 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.\n\n - Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.\n\n - Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.\n\n - Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).\n\n - Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.\n\n - Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.\n\n - Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.\n\nPreferred Qualifications\n\n - 10+ years in technical field or engineering roles.\n\n - Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.\n\n - Prior experience at a company with a forward-deployed or embedded engineering model (Palantir, Scale AI, Anthropic, OpenAI, BCG X, McKinsey Quantum Black, AI Native startups with FDE motions).\n\n - Prior experience as a technical founder or early engineer at an AI-native company is a strong signal.\n\n - Track record taking GenAI POCs from prototype to production-scale deployments.\n\n - Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"69739e4f-1ca5-45db-8a70-4309d961c0b7","title":"AI Field Engineer - Enterprise","department":"Sales","team":"Solution Architects","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}},{"location":"United States, Remote","address":null}],"publishedAt":"2026-06-11T21:17:18.858+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/69739e4f-1ca5-45db-8a70-4309d961c0b7","applyUrl":"https://jobs.ashbyhq.com/fireworks/69739e4f-1ca5-45db-8a70-4309d961c0b7/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)
The Role
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.
The Segment
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.
What You'll Work On
Technical Delivery and Deployment
Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.
For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets
Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
Model Strategy and Fine-Tuning
Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.
Customer Engagement and Stakeholder Management
Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.
Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.
Product Feedback and Platform Improvement
Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.
Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.
Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.
What We're Looking For
Minimum Qualifications
5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.
Preferred Qualifications
10+ years in technical field or engineering roles.
Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.
Track record taking GenAI POCs from prototype to production-scale deployments.
Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).
Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nIn the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:\n\n - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think)\n\n - Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog https://fireworks.ai/blog/open-source-agents-frontier-advisors)\n\n - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) https://fireworks.ai/blog/fine-tuning-bottlenecks\n\nThe Role\n\nAI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.\n\nYou spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.\n\nThe Segment\n\nAs a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.\n\nWhat You'll Work On\n\nTechnical Delivery and Deployment\n\n - Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.\n\n - For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.\n\n - Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets\n\n - Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.\n\nModel Strategy and Fine-Tuning\n\n - Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.\n\n - Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.\n\n - Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.\n\nCustomer Engagement and Stakeholder Management\n\n - Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.\n\n - Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.\n\n - Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.\n\n - Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.\n\nProduct Feedback and Platform Improvement\n\n - Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.\n\n - Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.\n\n - Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.\n\nWhat We're Looking For\n\nMinimum Qualifications\n\n - 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.\n\n - Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.\n\n - Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.\n\n - Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).\n\n - Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.\n\n - Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.\n\nPreferred Qualifications\n\n - 10+ years in technical field or engineering roles.\n\n - Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.\n\n - Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.\n\n - Track record taking GenAI POCs from prototype to production-scale deployments.\n\n - Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).\n\n - Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"b0509951-7280-4e88-ab1e-a20631d3f5f2","title":"Sales Enablement Lead","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"United States, Remote","secondaryLocations":[],"publishedAt":"2026-07-31T00:25:26.980+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/b0509951-7280-4e88-ab1e-a20631d3f5f2","applyUrl":"https://jobs.ashbyhq.com/fireworks/b0509951-7280-4e88-ab1e-a20631d3f5f2/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're seeking a seasoned enablement builder-operator to take on a foundational role in standing up GTM Enablement as Fireworks scales its go-to-market motion. The role sits in the Revenue Operations organization and reports to the Head of GTM Enablement.
As a Principal GTM Enablement Manager, you'll co-develop and co-deliver Firecademy, our monthly in-person onboarding program, with an eye toward full ownership over time. You'll also lay the foundation for role-based ramp journeys that get every Account Executive, AI Field Engineer, and BDR productive fast. And you'll support the ongoing readiness that keeps our field ahead of the pace of product innovation and industry evolution.
You bring the fundamentals of great enablement: deep facilitation and content-building chops, strong program management, fluency across sales methodologies, and excellent stakeholder management. As our on-site point of contact in San Mateo, you'll partner closely with Product, Marketing, and Sales Leadership to turn a rapidly evolving product into field readiness. And you'll go further than most enablers: you build the tools you teach, with hands-on experience creating AI agents that lift seller efficiency.
Please Note: This is initially an individual contributor role reporting to the Head of GTM Enablement. It follows the San Mateo in-office policy (Monday/Wednesday/Friday), plus full weeks during the monthly Firecademy onboarding program.
Develop & Deliver Firecademy and role-based ramp:
Co-develop and co-deliver Firecademy, our monthly in-person onboarding program, with the intention of full ownership within the first 6 months. Lay the foundation for the role-based ramp journey, spanning live trainings, eLearnings, and manager-led activities, with role-specific paths so every new Account Executive, AI Field Engineer, and BDR ramps consistently and productively.
Build and deliver enablement content and programs:
Design and deliver novel training programs with subject-matter experts across product knowledge, sales skills, competitive positioning, and internal process, and facilitate high-impact live and virtual sessions for audiences from new ICs to senior leaders in support of ongoing enablement across the AI Native and Enterprise segments. Partner with Product and Marketing to translate new product primitives into field-ready enablement, and lead the execution of critical GTM programs alongside cross-functional leaders across Sales, Field Engineering, Marketing, and Product.
Codify field best practices and influence the GTM motion:
Synthesize ground truth from real customer engagements and enablement outcomes to surface and codify best practices, deliver them to the field, and feed insight upstream to shape the evolving GTM motion. Represent enablement to senior GTM and Revenue Operations leadership with clear read-outs on progress, gaps, and impact.
Help define the future of agentic enablement:
Shape what agentic enablement looks like at Fireworks, designing and shipping AI agents that lift Account Executive efficiency and surface Revenue Operations insight, building on the foundations laid by our GTM Engineering team.
10+ years of total experience across GTM enablement, sales, or solutions roles (2+ years within Enablement)
Built enablement and onboarding programs from scratch, not inherited and maintained
Elite at both content development and live facilitation (multi-day sessions to groups of 20 or more), and a trusted cross-functional partner to senior GTM leadership
Has personally built AI agents or apps, deployed at scale, to drive seller or operations productivity, through prompting, no-code, low-code, or code (engineering degree not required)
Proven ability to enable technical sellers to sell credibly to technical buyers
Fluency across multiple sales methodologies, not dependent on any single named framework
Thrives in ambiguity, extreme ownership, and the pace of a high-growth startup
Based in the San Mateo area and able to meet the in-office policy
Prior experience as a quota-carrying field IC (Account Executive, AI Field Engineer, or similar)
Experience leading or managing a GTM team
Background in AI/ML infrastructure, developer tools, or API-first and consumption-based businesses, with literacy in usage-based pricing models
Familiarity with modern enablement tooling and systems (LMS, CMS, CRM, and enablement platforms)
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nWe're seeking a seasoned enablement builder-operator to take on a foundational role in standing up GTM Enablement as Fireworks scales its go-to-market motion. The role sits in the Revenue Operations organization and reports to the Head of GTM Enablement.\n\nAs a Principal GTM Enablement Manager, you'll co-develop and co-deliver Firecademy, our monthly in-person onboarding program, with an eye toward full ownership over time. You'll also lay the foundation for role-based ramp journeys that get every Account Executive, AI Field Engineer, and BDR productive fast. And you'll support the ongoing readiness that keeps our field ahead of the pace of product innovation and industry evolution.\n\nYou bring the fundamentals of great enablement: deep facilitation and content-building chops, strong program management, fluency across sales methodologies, and excellent stakeholder management. As our on-site point of contact in San Mateo, you'll partner closely with Product, Marketing, and Sales Leadership to turn a rapidly evolving product into field readiness. And you'll go further than most enablers: you build the tools you teach, with hands-on experience creating AI agents that lift seller efficiency.\n\nPlease Note: This is initially an individual contributor role reporting to the Head of GTM Enablement. It follows the San Mateo in-office policy (Monday/Wednesday/Friday), plus full weeks during the monthly Firecademy onboarding program.\n\n\nWHAT YOU'LL OWN\n\n 1. Develop & Deliver Firecademy and role-based ramp:\n Co-develop and co-deliver Firecademy, our monthly in-person onboarding program, with the intention of full ownership within the first 6 months. Lay the foundation for the role-based ramp journey, spanning live trainings, eLearnings, and manager-led activities, with role-specific paths so every new Account Executive, AI Field Engineer, and BDR ramps consistently and productively.\n\n 2. Build and deliver enablement content and programs: \n Design and deliver novel training programs with subject-matter experts across product knowledge, sales skills, competitive positioning, and internal process, and facilitate high-impact live and virtual sessions for audiences from new ICs to senior leaders in support of ongoing enablement across the AI Native and Enterprise segments. Partner with Product and Marketing to translate new product primitives into field-ready enablement, and lead the execution of critical GTM programs alongside cross-functional leaders across Sales, Field Engineering, Marketing, and Product.\n\n 3. Codify field best practices and influence the GTM motion:\n Synthesize ground truth from real customer engagements and enablement outcomes to surface and codify best practices, deliver them to the field, and feed insight upstream to shape the evolving GTM motion. Represent enablement to senior GTM and Revenue Operations leadership with clear read-outs on progress, gaps, and impact.\n\n 4. Help define the future of agentic enablement:\n Shape what agentic enablement looks like at Fireworks, designing and shipping AI agents that lift Account Executive efficiency and surface Revenue Operations insight, building on the foundations laid by our GTM Engineering team.\n\n\nMINIMUM QUALIFICATIONS\n\n - 10+ years of total experience across GTM enablement, sales, or solutions roles (2+ years within Enablement)\n\n - Built enablement and onboarding programs from scratch, not inherited and maintained\n\n - Elite at both content development and live facilitation (multi-day sessions to groups of 20 or more), and a trusted cross-functional partner to senior GTM leadership\n\n - Has personally built AI agents or apps, deployed at scale, to drive seller or operations productivity, through prompting, no-code, low-code, or code (engineering degree not required)\n\n - Proven ability to enable technical sellers to sell credibly to technical buyers\n\n - Fluency across multiple sales methodologies, not dependent on any single named framework\n\n - Thrives in ambiguity, extreme ownership, and the pace of a high-growth startup\n\n - Based in the San Mateo area and able to meet the in-office policy\n\n\nPREFERRED QUALIFICATIONS\n\n - Prior experience as a quota-carrying field IC (Account Executive, AI Field Engineer, or similar)\n\n - Experience leading or managing a GTM team\n\n - Background in AI/ML infrastructure, developer tools, or API-first and consumption-based businesses, with literacy in usage-based pricing models\n\n - Familiarity with modern enablement tooling and systems (LMS, CMS, CRM, and enablement platforms)\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"da8f0b05-ac82-40a4-8cb8-64767c956018","title":"Social and Community Manager ","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-06-26T18:44:08.701+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/da8f0b05-ac82-40a4-8cb8-64767c956018","applyUrl":"https://jobs.ashbyhq.com/fireworks/da8f0b05-ac82-40a4-8cb8-64767c956018/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
The AI infrastructure industry moves faster than almost anything in tech. New models, benchmarks, and techniques land weekly, and the narrative around them forms in days or hours. We're hiring a Social and Community Manager who can read those waves, ride the ones worth riding, add signal to them, and start narratives of our own that catch and spread.
This is a hands-on, execution-heavy role with judgment at its core. You'll decide what's worth reacting to, what we should say, and when. You'll back those calls with data, ship consistently across our social and community channels, and support marketing and product by turning a fast-moving field into content people actually want to share.
Narrative & Trend Judgment
Track conversations relevant to Fireworks in real time, judge what's worth jumping on versus noise, and move fast when a moment opens with a strong instinct for tone and timing. Frame narratives that give the community and market a reason to talk about Fireworks, not just one-off posts.
Data, Analysis & Reporting
Monitor social, Discord, and community platforms daily using analytics tools. Track the metrics that matter (engagement, reach, sentiment, growth, community health), turn them into clear reports, and use insights to recommend content changes, experiments, and next steps.
Content Creation & Execution
Create on-brand content informed by data, trends, and community feedback. Generate fresh formats that make technical AI topics shareable, own the social calendar, and ship consistently without losing the creative edge.
Community Engagement
Moderate discussions, answer questions, welcome members, and foster helpful conversations. Support and help run community programs (Champion/Ambassador initiatives, newsletters, AMAs, cohorts), and proactively spot ways to strengthen connections.
Events & Cross-Team Collaboration
Help plan and execute virtual and in-person events, webinars, and meetups, measuring impact to improve future ones. Keep calendars, trackers, and dashboards meticulously organized, and share data-driven insights with marketing, product, and engineering so efforts run smoothly and scale.
Must-Haves
5-8 years of hands-on experience in social media management or community management (developer or AI communities preferred).
Sharp judgment on what's worth a reaction and what to ignore, plus a track record of content or narratives that actually traveled.
Strong excellence in data and analytics, you confidently track metrics, interpret performance, create reports/dashboards, and use insights to guide execution and optimization.
Self-starter mindset: comfortable proactively identifying trends and opportunities, then recommending actions or ideas to the team.
Creative thinker who generates fresh content ideas and approaches while staying on-brand.
Hands-on experience actively engaging and growing communities (Discord, Reddit, X, forums, etc.).
Experience with social and community analytics tools (native platforms + tools like Sprout Social or similar).
Meticulously organized with strong project management skills.
AI native, you use LLMs and generative AI tools daily and understand developer workflows around models and inference.
Strong execution skills: reliable, detail-oriented, and proactive in delivering high-quality work in a fast-paced environment.
Nice-to-Haves
Experience supporting or contributing to community programs and events.
Familiarity with AI infrastructure or open-source model communities (e.g., Hugging Face ecosystem).
Basic video or multimedia production skills.
Background in fast-paced startup environments
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nThe AI infrastructure industry moves faster than almost anything in tech. New models, benchmarks, and techniques land weekly, and the narrative around them forms in days or hours. We're hiring a Social and Community Manager who can read those waves, ride the ones worth riding, add signal to them, and start narratives of our own that catch and spread.\n\nThis is a hands-on, execution-heavy role with judgment at its core. You'll decide what's worth reacting to, what we should say, and when. You'll back those calls with data, ship consistently across our social and community channels, and support marketing and product by turning a fast-moving field into content people actually want to share.\n\n\nKEY RESPONSIBILITIES\n\nNarrative & Trend Judgment \n\nTrack conversations relevant to Fireworks in real time, judge what's worth jumping on versus noise, and move fast when a moment opens with a strong instinct for tone and timing. Frame narratives that give the community and market a reason to talk about Fireworks, not just one-off posts.\n\nData, Analysis & Reporting\n\nMonitor social, Discord, and community platforms daily using analytics tools. Track the metrics that matter (engagement, reach, sentiment, growth, community health), turn them into clear reports, and use insights to recommend content changes, experiments, and next steps.\n\nContent Creation & Execution \n\nCreate on-brand content informed by data, trends, and community feedback. Generate fresh formats that make technical AI topics shareable, own the social calendar, and ship consistently without losing the creative edge.\n\nCommunity Engagement \n\nModerate discussions, answer questions, welcome members, and foster helpful conversations. Support and help run community programs (Champion/Ambassador initiatives, newsletters, AMAs, cohorts), and proactively spot ways to strengthen connections.\n\nEvents & Cross-Team Collaboration \n\nHelp plan and execute virtual and in-person events, webinars, and meetups, measuring impact to improve future ones. Keep calendars, trackers, and dashboards meticulously organized, and share data-driven insights with marketing, product, and engineering so efforts run smoothly and scale.\n\n\nWHAT WE’RE LOOKING FOR\n\nMust-Haves\n\n - 5-8 years of hands-on experience in social media management or community management (developer or AI communities preferred).\n\n - Sharp judgment on what's worth a reaction and what to ignore, plus a track record of content or narratives that actually traveled.\n\n - Strong excellence in data and analytics, you confidently track metrics, interpret performance, create reports/dashboards, and use insights to guide execution and optimization.\n\n - Self-starter mindset: comfortable proactively identifying trends and opportunities, then recommending actions or ideas to the team.\n\n - Creative thinker who generates fresh content ideas and approaches while staying on-brand.\n\n - Hands-on experience actively engaging and growing communities (Discord, Reddit, X, forums, etc.).\n\n - Experience with social and community analytics tools (native platforms + tools like Sprout Social or similar).\n\n - Meticulously organized with strong project management skills.\n\n - AI native, you use LLMs and generative AI tools daily and understand developer workflows around models and inference.\n\n - Strong execution skills: reliable, detail-oriented, and proactive in delivering high-quality work in a fast-paced environment.\n\n\nNice-to-Haves\n\n - Experience supporting or contributing to community programs and events.\n\n - Familiarity with AI infrastructure or open-source model communities (e.g., Hugging Face ecosystem).\n\n - Basic video or multimedia production skills.\n\n - Background in fast-paced startup environments\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"cd8233f0-e958-40b5-a9a6-e35ecb9a76a4","title":"Business Development Representative (BDR)","department":"Sales","team":"SDR / BDR","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2025-07-16T19:43:44.297+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/cd8233f0-e958-40b5-a9a6-e35ecb9a76a4","applyUrl":"https://jobs.ashbyhq.com/fireworks/cd8233f0-e958-40b5-a9a6-e35ecb9a76a4/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for motivated and tech-savvy Business Development Representatives (BDRs) with a strong interest in AI to join our growing sales team. In this role, you’ll play a key part in building a healthy pipeline for our Account Executives by qualifying inbound leads and proactively prospecting into high-value target accounts. This is an opportunity to be at the frontlines of a fast-moving AI company, engaging in thoughtful, technical conversations with a knowledgeable customer base.
The ideal candidate is results driven, exhibits strong intellectual curiosity of the evolving AI space, and can operate in a fast-paced, highly-dynamic start up environment. You should be comfortable initiating outreach, handling nuanced product discussions, and helping prospects understand the impact of generative AI on their business.
Strategically prospect into key accounts across email, calling and Linkedin, communicating Fireworks AI’s unique value proposition
Consistently meet new business opportunity and pipeline generation targets
Craft personalized, tailored outreach through various research methods to prioritize the right accounts and prospects
Qualify and engage inbound leads, ensuring a smooth transition to our Account Executive team
Act as a brand ambassador, educating prospects on the power and potential of our inference solutions
Collaborate with Sales and Marketing to refine messaging and outreach strategies based on market feedback
Stay current on AI/ML trends to conduct informed, relevant conversations with technical and business audiences
Bachelor’s degree or equivalent practical experience
Demonstrated interest in technology sales, with a strong interest AI and machine learning
Excellent communication and interpersonal skills; able to engage confidently with technical stakeholders
Self-motivated and organized, with the ability to manage multiple priorities in a fast-paced environment
Previous startup or entrepreneurial experience, with a proactive and adaptable mindset
Prior experience in a customer facing role, ideally in SaaS, AI, or emerging tech
Familiarity with CRM systems and sales engagement tools (e.g., Salesforce, Outreach, Apollo, etc.)
Degree in engineering, computer science, or a related technical field
Active interest in AI/tech communities with a demonstrated commitment to continuous learning in the space
Fireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in the San Francisco/New York City Area for this role is $85,000 - $100,000 per year.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nWe're looking for motivated and tech-savvy Business Development Representatives (BDRs) with a strong interest in AI to join our growing sales team. In this role, you’ll play a key part in building a healthy pipeline for our Account Executives by qualifying inbound leads and proactively prospecting into high-value target accounts. This is an opportunity to be at the frontlines of a fast-moving AI company, engaging in thoughtful, technical conversations with a knowledgeable customer base.\n\nThe ideal candidate is results driven, exhibits strong intellectual curiosity of the evolving AI space, and can operate in a fast-paced, highly-dynamic start up environment. You should be comfortable initiating outreach, handling nuanced product discussions, and helping prospects understand the impact of generative AI on their business.\n\n\nKEY RESPONSIBILITIES\n\n - Strategically prospect into key accounts across email, calling and Linkedin, communicating Fireworks AI’s unique value proposition\n\n - Consistently meet new business opportunity and pipeline generation targets\n\n - Craft personalized, tailored outreach through various research methods to prioritize the right accounts and prospects\n\n - Qualify and engage inbound leads, ensuring a smooth transition to our Account Executive team\n\n - Act as a brand ambassador, educating prospects on the power and potential of our inference solutions\n\n - Collaborate with Sales and Marketing to refine messaging and outreach strategies based on market feedback\n\n - Stay current on AI/ML trends to conduct informed, relevant conversations with technical and business audiences\n\n\nMINIMUM QUALIFICATIONS\n\n - Bachelor’s degree or equivalent practical experience\n\n - Demonstrated interest in technology sales, with a strong interest AI and machine learning\n\n - Excellent communication and interpersonal skills; able to engage confidently with technical stakeholders\n\n - Self-motivated and organized, with the ability to manage multiple priorities in a fast-paced environment\n\n\nPREFERRED QUALIFICATIONS\n\n - Previous startup or entrepreneurial experience, with a proactive and adaptable mindset\n\n - Prior experience in a customer facing role, ideally in SaaS, AI, or emerging tech\n\n - Familiarity with CRM systems and sales engagement tools (e.g., Salesforce, Outreach, Apollo, etc.)\n\n - Degree in engineering, computer science, or a related technical field\n\n - Active interest in AI/tech communities with a demonstrated commitment to continuous learning in the space\n\nFireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in the San Francisco/New York City Area for this role is $85,000 - $100,000 per year.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"c3c61f23-477a-446c-89cb-c22cc10a347e","title":"Head of Deal Desk","department":"Finance","team":"Finance","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-20T22:10:22.083+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/c3c61f23-477a-446c-89cb-c22cc10a347e","applyUrl":"https://jobs.ashbyhq.com/fireworks/c3c61f23-477a-446c-89cb-c22cc10a347e/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As our Deal Desk Manager, you'll be the commercial backbone of our go-to-market motion — the trusted partner Sales turns to when structuring complex, high-value, and non-standard deals. You'll own deal structuring, pricing guidance, quoting, and the approval process end-to-end, quarterbacking across Sales, Finance, Legal, and Revenue Operations to get deals closed cleanly and quickly. Because Fireworks runs on both reserved and consumption pricing, you'll play a central role in shaping how we structure commits, tiers, and multi-year agreements in a rapidly evolving market. This is a foundational role for someone who wants to build scalable deal desk processes at a hypergrowth AI company.
Run deal desk: Manage the day-to-day operations of deal desk. Review and analyze deals that fall outside standard parameters (pricing, discounting, contract terms), manage the approval workflow, enforce approval thresholds, and drive fast, clear escalations to Finance leadership, Legal, and executive stakeholders.
Structure and optimize deals: Partner with Sales to structure complex, non-standard, and strategic deals — including consumption commitments, multi-year contracts, custom pricing, and enterprise terms. Be the go-to partner for account executives and sales managers for deal advisory, structuring deals that meet customer needs but protect Fireworks’ margins
Serve as pricing & policy subject matter expert: Set discounting frameworks and commercial policies. Partner closely with Product, Engineering, and Sales to propose new pricing models, SKUs, and packaging motions based on deal desk insights.
Build the function: Partner with Revenue Operations team to design a scalable deal desk system. Establish the playbooks, pricing guidelines, approval workflows, and exception-handling procedures.
Quarterback cross-functionally: Act as the connective tissue between Sales, Finance, Legal, Revenue Accounting, and Order Management — coordinating deal evaluation, negotiation support, and clean handoff from quote to bookable order.
Analyze deal economics: Model deal profitability, discount impact, and margin implications for consumption- and subscription-based structures to inform smart, data-driven deal decisions.
Validate bookings: Ensure deals are structured, quoted, and documented for clean booking and accurate revenue recognition, partnering closely with Revenue Accounting.
Report on what matters: Track and report on key metrics — deal cycle time, approval turnaround, deal quality/hygiene, discount and margin performance, and booking accuracy — and use them to continuously improve deal velocity.
7+ years in Revenue/Sales Operations, Sales Strategy, Finance, or a related analytical role at a high-growth technology company, with 3+ years specifically in Deal Desk
Hands-on experience structuring complex packaging quotes, including non-standard terms and custom pricing.
Strong understanding of consumption-based / usage-based pricing as well as subscription models — and how to structure commits, tiers, and multi-year agreements around them.
Comfortable being both the architect and operator
Solid financial modeling and analytical skills, with the ability to assess deal profitability, margin, and discount impact.
Excellent cross-functional communication and stakeholder management — you can influence without authority and keep Sales, Finance, and Legal aligned under deadline pressure.
Detail-oriented and process-driven, with strong instincts for building structure where none exists.
Proficiency with CRM (Salesforce) and CPQ tooling; comfort learning modern GTM/quote-to-order systems.
Bachelor's degree, or equivalent practical experience.
Experience at an AI/ML, developer platform, or cloud infrastructure company, and familiarity with how companies buy AI/compute
Experience building or scaling a Deal Desk function from scratch at a Series B/C+ hypergrowth company (vs. inheriting a mature one)
Experience with modern CPQ platforms (e.g., Nue.io) and contract lifecycle management (CLM) tools.
Sales & Sales Leadership, Finance & FP&A, Legal, Revenue Operations, Revenue Accounting, Order Management/Billing, and Product.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nAs our Deal Desk Manager, you'll be the commercial backbone of our go-to-market motion — the trusted partner Sales turns to when structuring complex, high-value, and non-standard deals. You'll own deal structuring, pricing guidance, quoting, and the approval process end-to-end, quarterbacking across Sales, Finance, Legal, and Revenue Operations to get deals closed cleanly and quickly. Because Fireworks runs on both reserved and consumption pricing, you'll play a central role in shaping how we structure commits, tiers, and multi-year agreements in a rapidly evolving market. This is a foundational role for someone who wants to build scalable deal desk processes at a hypergrowth AI company.\n\n\nWHAT YOU'LL DO\n\n - Run deal desk: Manage the day-to-day operations of deal desk. Review and analyze deals that fall outside standard parameters (pricing, discounting, contract terms), manage the approval workflow, enforce approval thresholds, and drive fast, clear escalations to Finance leadership, Legal, and executive stakeholders.\n\n - Structure and optimize deals: Partner with Sales to structure complex, non-standard, and strategic deals — including consumption commitments, multi-year contracts, custom pricing, and enterprise terms. Be the go-to partner for account executives and sales managers for deal advisory, structuring deals that meet customer needs but protect Fireworks’ margins\n\n - Serve as pricing & policy subject matter expert: Set discounting frameworks and commercial policies. Partner closely with Product, Engineering, and Sales to propose new pricing models, SKUs, and packaging motions based on deal desk insights.\n\n - Build the function: Partner with Revenue Operations team to design a scalable deal desk system. Establish the playbooks, pricing guidelines, approval workflows, and exception-handling procedures.\n\n - Quarterback cross-functionally: Act as the connective tissue between Sales, Finance, Legal, Revenue Accounting, and Order Management — coordinating deal evaluation, negotiation support, and clean handoff from quote to bookable order.\n\n - Analyze deal economics: Model deal profitability, discount impact, and margin implications for consumption- and subscription-based structures to inform smart, data-driven deal decisions.\n\n - Validate bookings: Ensure deals are structured, quoted, and documented for clean booking and accurate revenue recognition, partnering closely with Revenue Accounting.\n\n - Report on what matters: Track and report on key metrics — deal cycle time, approval turnaround, deal quality/hygiene, discount and margin performance, and booking accuracy — and use them to continuously improve deal velocity.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 7+ years in Revenue/Sales Operations, Sales Strategy, Finance, or a related analytical role at a high-growth technology company, with 3+ years specifically in Deal Desk\n\n - Hands-on experience structuring complex packaging quotes, including non-standard terms and custom pricing.\n\n - Strong understanding of consumption-based / usage-based pricing as well as subscription models — and how to structure commits, tiers, and multi-year agreements around them.\n\n - Comfortable being both the architect and operator\n\n - Solid financial modeling and analytical skills, with the ability to assess deal profitability, margin, and discount impact.\n\n - Excellent cross-functional communication and stakeholder management — you can influence without authority and keep Sales, Finance, and Legal aligned under deadline pressure.\n\n - Detail-oriented and process-driven, with strong instincts for building structure where none exists.\n\n - Proficiency with CRM (Salesforce) and CPQ tooling; comfort learning modern GTM/quote-to-order systems.\n\n - Bachelor's degree, or equivalent practical experience.\n\n\nNICE TO HAVE\n\n - Experience at an AI/ML, developer platform, or cloud infrastructure company, and familiarity with how companies buy AI/compute\n\n - Experience building or scaling a Deal Desk function from scratch at a Series B/C+ hypergrowth company (vs. inheriting a mature one)\n\n - Experience with modern CPQ platforms (e.g., Nue.io http://Nue.io) and contract lifecycle management (CLM) tools.\n\n\nWHO YOU'LL WORK WITH\n\nSales & Sales Leadership, Finance & FP&A, Legal, Revenue Operations, Revenue Accounting, Order Management/Billing, and Product.\n\n\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"0628f651-a8f6-4ef9-beec-6f31c3268c85","title":"Head of GTM Engineering & Systems","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-07-16T00:49:04.242+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/0628f651-a8f6-4ef9-beec-6f31c3268c85","applyUrl":"https://jobs.ashbyhq.com/fireworks/0628f651-a8f6-4ef9-beec-6f31c3268c85/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Our GTM team is growing 10x. As the leader of GTM Engineering you will set the architecture, drive our AI roadmap, or deliver on the auto-magical future that empowers every customer facing role.
You'll own the full GTM tech stack: Salesforce, CPQ, enrichment, engagement tooling, and the connective tissue between systems serving a growing org of BDRs, AEs, SAs, and managers. You'll also be the person who brings agentic AI from concept to production for our GTM teams, not as an experiment, but as the new operating baseline.
This is a builder and leader role. We're not looking for someone to manage vendors or coordinate rollouts. We want someone who will make hard architectural decisions, ship fast, and raise the bar for what great looks leading a GTM Engineering team.
Own every tool the GTM organization runs on: Salesforce architecture, enrichment layer (Clay, Harmonic, Sumble), routing (LeanData), engagement (Gong, Lemlist, Granola), and the integrations between them. As we scale from roughly 50 to 300+ GTM team members, the architectural decisions you make now are the ones that compound.
We don't have a real CPQ solution today. Deal approvals run through Slack, order forms are built in Google Docs, and the billing handoff is fragile. You'll build a durable quoting and lead-to-revenue architecture from scratch, whether that's native Salesforce CPQ, a purpose-built tool, or a custom solution. The goal: an AE can take a deal from pricing to signed order form without RevOps as a bottleneck.
BDRs, AEs, SAs, sales managers, and RevOps are all under-leveraging AI today. You'll build the workflows that change that: AI-assisted account research, rep-facing deal intelligence, automated pipeline hygiene, manager insights. These should be workflows the team can't imagine working without, not demos.
You're inheriting two strong engineers. You'll grow from there: defining hiring profiles, setting technical standards, building career paths, and maintaining a culture where high-quality, fast-shipping work is the norm.
10+ years in GTM Engineering, Revenue Operations, or Sales Operations at B2B companies; Consumption business model experience strongly desired
5+ years of people management experience
Has architected in Salesforce at real depth: data model, process automation, integrations, governance — and knows how to take advantage of today’s modern CLI/MCP setups
Has driven real world sales rep productivity enhancements measured in $s not time saved.
Has built or rebuilt a quoting or CPQ workflow at meaningful scale
Has led a team and set technical direction, not just managed execution
Track record of building automation that sales reps actually use
Has shipped agentic or AI-native GTM workflows in production (not pilots)
Experience scaling GTM systems through a high-growth phase (Series B to D)
Familiarity with usage-based or consumption pricing models
Has worked at an AI/ML infrastructure, developer tools, or API-first company
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nOur GTM team is growing 10x. As the leader of GTM Engineering you will set the architecture, drive our AI roadmap, or deliver on the auto-magical future that empowers every customer facing role.\n\nYou'll own the full GTM tech stack: Salesforce, CPQ, enrichment, engagement tooling, and the connective tissue between systems serving a growing org of BDRs, AEs, SAs, and managers. You'll also be the person who brings agentic AI from concept to production for our GTM teams, not as an experiment, but as the new operating baseline.\n\nThis is a builder and leader role. We're not looking for someone to manage vendors or coordinate rollouts. We want someone who will make hard architectural decisions, ship fast, and raise the bar for what great looks leading a GTM Engineering team.\n\n\nWHAT YOU'LL OWN\n\n\n1. GTM TECH STACK AND AI FOUNDATIONS\n\nOwn every tool the GTM organization runs on: Salesforce architecture, enrichment layer (Clay, Harmonic, Sumble), routing (LeanData), engagement (Gong, Lemlist, Granola), and the integrations between them. As we scale from roughly 50 to 300+ GTM team members, the architectural decisions you make now are the ones that compound.\n\n\n2. QUOTING AND LEAD-TO-REVENUE ARCHITECTURE (0 TO 1)\n\nWe don't have a real CPQ solution today. Deal approvals run through Slack, order forms are built in Google Docs, and the billing handoff is fragile. You'll build a durable quoting and lead-to-revenue architecture from scratch, whether that's native Salesforce CPQ, a purpose-built tool, or a custom solution. The goal: an AE can take a deal from pricing to signed order form without RevOps as a bottleneck.\n\n\n3. AGENTIC WORKFLOWS FOR GTM TEAMS\n\nBDRs, AEs, SAs, sales managers, and RevOps are all under-leveraging AI today. You'll build the workflows that change that: AI-assisted account research, rep-facing deal intelligence, automated pipeline hygiene, manager insights. These should be workflows the team can't imagine working without, not demos.\n\n\n4. BUILD AND SCALE THE GTM ENGINEERING TEAM\n\nYou're inheriting two strong engineers. You'll grow from there: defining hiring profiles, setting technical standards, building career paths, and maintaining a culture where high-quality, fast-shipping work is the norm.\n\n\nMINIMUM QUALIFICATIONS\n\n - 10+ years in GTM Engineering, Revenue Operations, or Sales Operations at B2B companies; Consumption business model experience strongly desired\n\n - 5+ years of people management experience\n\n - Has architected in Salesforce at real depth: data model, process automation, integrations, governance — and knows how to take advantage of today’s modern CLI/MCP setups\n\n - Has driven real world sales rep productivity enhancements measured in $s not time saved.\n\n - Has built or rebuilt a quoting or CPQ workflow at meaningful scale\n\n - Has led a team and set technical direction, not just managed execution\n\n - Track record of building automation that sales reps actually use\n\n\nPREFERRED QUALIFICATIONS\n\n - Has shipped agentic or AI-native GTM workflows in production (not pilots)\n\n - Experience scaling GTM systems through a high-growth phase (Series B to D)\n\n - Familiarity with usage-based or consumption pricing models\n\n - Has worked at an AI/ML infrastructure, developer tools, or API-first company\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"69375f41-258a-4c25-ad78-5985606c438a","title":"Associate Product Manager","department":"Product","team":"Product Management","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-04-29T01:08:47.248+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/69375f41-258a-4c25-ad78-5985606c438a","applyUrl":"https://jobs.ashbyhq.com/fireworks/69375f41-258a-4c25-ad78-5985606c438a/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
This is a rare opportunity for an early-career product manager to work at the frontier of AI infrastructure — building tools used daily by developers and AI teams at the world's most ambitious companies.
Inspired by Google’s APM program and other cornerstone programs, APMs at Fireworks will receive mentorship from experienced PMs while also getting rotations across both Fireworks’ product areas and tasks (platform product, forward-deployment and strategic projects).
This role is designed to help you develop the foundational skills of a start-up product leader: rigorous thinking, user empathy, technical depth, and cross-functional leadership.
Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure.
Partner with engineering, design, and data science teams to define, build, and ship product features across the Fireworks platform — from API tooling to model fine-tuning workflows to inference infrastructure
Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion
Partner with GTM functions like sales and marketing to evangelize new products to customers and throughout the Fireworks org
You recently graduated (or are about to) with a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Less than 2 years of professional experience (this role is designed for early-career candidates).
Curiosity about AI, LLMs, and developer tooling. You've been vibe coding constantly and building with AI APIs
Clear written and verbal communication - You’ll be interacting directly with customers and need to explain technical tradeoffs to them
Strong analytical skills and user empathy
Deep hunger and motivation. This isn’t a 9-5 job and you’ll be expected to step up, especially during periods of “wartime”
Comfortability with ambiguity and energized by fast-moving environments
Hands-on experience with AI/ML infrastructure: inference serving, fine-tuning pipelines, embeddings, or agent frameworks.
Prior internship or project experience in product management, software engineering, or data science.
Familiarity with developer-focused products and an understanding of what makes a great API or SDK experience.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nThis is a rare opportunity for an early-career product manager to work at the frontier of AI infrastructure — building tools used daily by developers and AI teams at the world's most ambitious companies.\n\nInspired by Google’s APM program and other cornerstone programs, APMs at Fireworks will receive mentorship from experienced PMs while also getting rotations across both Fireworks’ product areas and tasks (platform product, forward-deployment and strategic projects).\n\nThis role is designed to help you develop the foundational skills of a start-up product leader: rigorous thinking, user empathy, technical depth, and cross-functional leadership.\n\n\nKEY RESPONSIBILITIES\n\n - Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure.\n\n - Partner with engineering, design, and data science teams to define, build, and ship product features across the Fireworks platform — from API tooling to model fine-tuning workflows to inference infrastructure\n\n - Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion\n\n - Partner with GTM functions like sales and marketing to evangelize new products to customers and throughout the Fireworks org\n\n\nMINIMUM REQUIREMENTS\n\n - You recently graduated (or are about to) with a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field\n\n - Less than 2 years of professional experience (this role is designed for early-career candidates).\n\n - Curiosity about AI, LLMs, and developer tooling. You've been vibe coding constantly and building with AI APIs\n\n - Clear written and verbal communication - You’ll be interacting directly with customers and need to explain technical tradeoffs to them\n\n - Strong analytical skills and user empathy\n\n - Deep hunger and motivation. This isn’t a 9-5 job and you’ll be expected to step up, especially during periods of “wartime”\n\n - Comfortability with ambiguity and energized by fast-moving environments\n\n\nPREFERRED QUALIFICATIONS\n\n - Hands-on experience with AI/ML infrastructure: inference serving, fine-tuning pipelines, embeddings, or agent frameworks.\n\n - Prior internship or project experience in product management, software engineering, or data science.\n\n - Familiarity with developer-focused products and an understanding of what makes a great API or SDK experience.\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"51aa1cdc-945e-4077-b5c7-c9ab37b420be","title":"Product Manager, Platform","department":"Product","team":"Product Management","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-19T19:16:15.188+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/51aa1cdc-945e-4077-b5c7-c9ab37b420be","applyUrl":"https://jobs.ashbyhq.com/fireworks/51aa1cdc-945e-4077-b5c7-c9ab37b420be/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Inference is at the core of what Fireworks does. It’s how specialized intelligence reaches production, and the platform around it is what makes it fast to adopt, easy to trust, and economical at scale. We’re hiring a PM to work on our core inference product and general platform, spanning inference performance and control, accounts and fraud reduction.
As a PM working on our platform, you'll help set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out whether we should let customers 5x their current rate limits, or cutting fraudulent free-tier usage without adding friction for legitimate users.
Own the roadmap, strategy, and success metrics for parts of the Fireworks inference and platform product, across API, UI, and CLI.
Work directly with AI-native startups and enterprises running production inference. Watch them work, unblock them when they stall, and convert repeated pain into productized capability.
Own the commercial and trust surfaces of the platform, including accounts, onboarding, quotas and rate limits, billing, and fraud and abuse prevention
Partner with product marketing, sales, and the field to launch platform capabilities that land, like pricing and packaging, docs, cookbooks, and enablement.
2 – 8+ years of product management experience building technical or developer-facing products (we are hiring at multiple levels for this role).
Strong technical background — CS/EE degree, production engineering experience, or equivalent depth earned on the job.
Familiarity with the inference lifecycle: model serving, latency and throughput tradeoffs, and how these connect to cost in production.
Demonstrated ownership of a product area end to end from strategy, spec, launch, to metrics.
Excellent written communication. You can write a spec, a launch post, and a customer-facing explanation of a tradeoff, and all three will be clear.
Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty.
Deep hunger and motivation. This isn't a 9-5 job and you'll be expected to step up, especially during periods of \"wartime.\"
You've personally built on top of an LLM API and felt the latency, cost, and reliability tradeoffs firsthand.
Experience with self-serve or PLG products — signup and onboarding funnels, usage-based billing, quota and rate-limit design.
Experience with trust and safety, fraud, or abuse prevention at scale — payment fraud, free-tier abuse, or account takeover.
Understanding of GPU economics and how utilization, batching, and latency SLAs trade off against margin.
Experience with cloud or developer platforms with metered pricing, or with the account, identity, and org-management surfaces enterprises expect.
Early startup or founding experience.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nInference is at the core of what Fireworks does. It’s how specialized intelligence reaches production, and the platform around it is what makes it fast to adopt, easy to trust, and economical at scale. We’re hiring a PM to work on our core inference product and general platform, spanning inference performance and control, accounts and fraud reduction.\n\n\n\nAs a PM working on our platform, you'll help set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out whether we should let customers 5x their current rate limits, or cutting fraudulent free-tier usage without adding friction for legitimate users.\n\n\nKEY RESPONSIBILITIES:\n\n - Own the roadmap, strategy, and success metrics for parts of the Fireworks inference and platform product, across API, UI, and CLI.\n\n - Work directly with AI-native startups and enterprises running production inference. Watch them work, unblock them when they stall, and convert repeated pain into productized capability.\n\n - Own the commercial and trust surfaces of the platform, including accounts, onboarding, quotas and rate limits, billing, and fraud and abuse prevention\n\n - Partner with product marketing, sales, and the field to launch platform capabilities that land, like pricing and packaging, docs, cookbooks, and enablement.\n\n\nMINIMUM REQUIREMENTS:\n\n - 2 – 8+ years of product management experience building technical or developer-facing products (we are hiring at multiple levels for this role).\n\n - Strong technical background — CS/EE degree, production engineering experience, or equivalent depth earned on the job.\n\n - Familiarity with the inference lifecycle: model serving, latency and throughput tradeoffs, and how these connect to cost in production.\n\n - Demonstrated ownership of a product area end to end from strategy, spec, launch, to metrics.\n\n - Excellent written communication. You can write a spec, a launch post, and a customer-facing explanation of a tradeoff, and all three will be clear.\n\n - Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty.\n\n - Deep hunger and motivation. This isn't a 9-5 job and you'll be expected to step up, especially during periods of \"wartime.\"\n\n\nPREFERRED QUALIFICATIONS:\n\n - You've personally built on top of an LLM API and felt the latency, cost, and reliability tradeoffs firsthand.\n\n - Experience with self-serve or PLG products — signup and onboarding funnels, usage-based billing, quota and rate-limit design.\n\n - Experience with trust and safety, fraud, or abuse prevention at scale — payment fraud, free-tier abuse, or account takeover.\n\n - Understanding of GPU economics and how utilization, batching, and latency SLAs trade off against margin.\n\n - Experience with cloud or developer platforms with metered pricing, or with the account, identity, and org-management surfaces enterprises expect.\n\n - Early startup or founding experience.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"ccc2b11a-0996-4ed1-b5d6-7da20bbe73bc","title":"Strategic Projects Lead","department":"Product","team":"Product Management","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-04T03:40:07.427+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/ccc2b11a-0996-4ed1-b5d6-7da20bbe73bc","applyUrl":"https://jobs.ashbyhq.com/fireworks/ccc2b11a-0996-4ed1-b5d6-7da20bbe73bc/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Fireworks AI is looking for a Strategic Projects Lead to drive high-impact, cross-functional initiatives. We’re looking for a high-agency operator to wear many hats at the intersection of Engineering, Product, and GTM. You’ll be part of the Fireworks product organization where you’ll be an expert in Fireworks’ products and customers. You’ll use that knowledge to drive high-priority, end-to-end projects across the company.
Identify and create new strategic capabilities for Fireworks, like new GTM motions or standardized GTM playbooks
Build deep relationships with customers and lead strategic customer engagements from initial sale to long-term success
Determine product roadmap needs and instrument solutions end-to-end
Own and drive cross-functional initiatives from definition to execution, like partnership creation and model launches
We’re hiring smart hungry people at a variety of experience levels - 1+ years of experience in a high-ownership, fast-paced environment (consulting, product management, software or banking)
Entrepreneurial mindset - excitement about wearing many hats and ability to identify issues and execute quickly
Fluency to engage with senior stakeholders in client and partner organizations
Technical fluency in AI, ML infrastructure, or cloud platforms
Proven track record of leading complex technical or cross-functional initiatives
Analytical capability and comfortability driving decisions quantitatively
Excellent written and verbal communication skills
Bias toward action and high accountability
Experience working on ML infrastructure, inference systems, or AI platforms
Experience supporting enterprise or strategic customers
Prior experience in infrastructure, DevEx, or performance optimization initiatives
Experience operating in high-growth startup environments
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nFireworks AI is looking for a Strategic Projects Lead to drive high-impact, cross-functional initiatives. We’re looking for a high-agency operator to wear many hats at the intersection of Engineering, Product, and GTM. You’ll be part of the Fireworks product organization where you’ll be an expert in Fireworks’ products and customers. You’ll use that knowledge to drive high-priority, end-to-end projects across the company.\n\n\nKEY RESPONSIBILITIES:\n\n - Identify and create new strategic capabilities for Fireworks, like new GTM motions or standardized GTM playbooks\n\n - Build deep relationships with customers and lead strategic customer engagements from initial sale to long-term success \n\n - Determine product roadmap needs and instrument solutions end-to-end\n\n - Own and drive cross-functional initiatives from definition to execution, like partnership creation and model launches\n\n\nMINIMUM REQUIREMENTS:\n\n - We’re hiring smart hungry people at a variety of experience levels - 1+ years of experience in a high-ownership, fast-paced environment (consulting, product management, software or banking)\n\n - Entrepreneurial mindset - excitement about wearing many hats and ability to identify issues and execute quickly \n\n - Fluency to engage with senior stakeholders in client and partner organizations\n\n - Technical fluency in AI, ML infrastructure, or cloud platforms\n\n - Proven track record of leading complex technical or cross-functional initiatives\n\n - Analytical capability and comfortability driving decisions quantitatively \n\n - Excellent written and verbal communication skills\n\n - Bias toward action and high accountability\n\n\nPREFERRED QUALIFICATIONS:\n\n - Experience working on ML infrastructure, inference systems, or AI platforms\n\n - Experience supporting enterprise or strategic customers\n\n - Prior experience in infrastructure, DevEx, or performance optimization initiatives\n\n - Experience operating in high-growth startup environments\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"6c283170-bf6c-4259-a6cb-9f1e2315e7c9","title":"Head of Order to Cash ","department":"Finance","team":"Finance","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-19T16:19:19.341+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/6c283170-bf6c-4259-a6cb-9f1e2315e7c9","applyUrl":"https://jobs.ashbyhq.com/fireworks/6c283170-bf6c-4259-a6cb-9f1e2315e7c9/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are looking for an experienced Order to Cash Lead to own and scale our end-to-end billing operations across both enterprise subscription and consumption-based (usage) billing models. This role is critical in ensuring accurate, timely, and compliant billing while driving operational excellence across the entire Order-to-Cash (O2C) lifecycle.
The ideal candidate is a hands-on billing operations leader with deep expertise in enterprise SaaS billing, usage-based billing, and financial operations. You will partner closely with Revenue Operations, Revenue Accounting, Sales Operations, Deal Desk, Product, Engineering, Customer Success, and Finance to build scalable processes that support rapid business growth.
This role also requires experience supporting external financial audits, implementing strong internal controls, and working in SOX-compliant environments.
Own end-to-end billing operations for enterprise subscription, consumption-based, and hybrid pricing models.
Ensure timely, accurate, and complete invoice generation across all customer segments.
Manage billing schedules, contract amendments, renewals, credits, cancellations, and billing adjustments.
Develop scalable billing processes, controls, and standard operating procedures.
Drive continuous process improvements to increase billing accuracy, efficiency, and customer satisfaction.
Serve as the operational owner for the complete Order-to-Cash lifecycle, including:
Order management
Contract review
Billing
Collections support
Cash application coordination
Partner with Sales Operations and Deal Desk to ensure customer contracts are operationally executable.
Identify opportunities for automation and process optimization across the Quote-to-Cash ecosystem , by working closely with data science and data engineering teams
Oversee complex usage-based billing processes, including metering validation, usage reconciliation, rating, pricing, and invoice generation.
Partner with Product and Engineering teams to ensure accurate usage capture and billing data integrity.
Investigate and resolve billing exceptions and customer invoice discrepancies.
Collaborate with Revenue Operations to operationalize new pricing models, product launches, and commercial offerings.
Support Quote-to-Cash process improvements and system integrations across CRM, CPQ, billing platforms, and ERP systems.
Maintain pricing catalogs and billing configurations to support evolving business needs.
Work closely with Revenue Accounting to support ASC 606 compliance and accurate revenue recognition.
Ensure billing transactions align with contract terms and accounting policies.
Support monthly, quarterly, and annual close activities through reconciliations and billing analysis.
Prepare documentation supporting SOX controls and internal compliance requirements.
Serve as the primary Billing Operations contact during external financial audits.
Leverage prior experience supporting Big Four audits to strengthen operational controls and ensure audit readiness.
Maintain complete audit trails for billing transactions and process documentation.
Own continuous improvement of billing systems and integrations.
Partner with Finance Systems and Engineering teams on automation initiatives and system enhancements.
Develop operational dashboards and KPIs to monitor billing performance and process health.
Build strong partnerships with Revenue Operations, Revenue Accounting, Finance, Sales Operations, Deal Desk, Customer Success, Product, and Engineering.
Lead cross-functional initiatives supporting new pricing strategies, product launches, and operational scaling.
Document and maintain best practices and standard operating procedures for Billing Operations.
Bachelor's degree in Accounting, Finance, Business, or a related field.
8+ years of experience in Billing Operations, Revenue Operations, Finance Operations, or Order-to-Cash functions.
Deep expertise managing both enterprise subscription billing and consumption/usage-based billing models.
Strong knowledge of the complete Order-to-Cash lifecycle.
Experience supporting ASC 606 revenue recognition and partnering with Revenue Accounting.
Experience supporting Big Four external audits and operating within SOX-controlled environments.
Strong understanding of billing controls, reconciliations, and financial operations.
Experience with billing and financial systems such as Salesforce, CPQ, NetSuite, Orb and Netsuite.
Advanced Excel and analytical skills with the ability to identify trends, reconcile data, and improve operational performance.
Excellent communication, project management, and cross-functional collaboration skills.
CPA or equivalent accounting background.
Experience in high-growth SaaS, cloud infrastructure, or AI companies.
Experience implementing or scaling billing platforms and ERP systems.
Familiarity with API-based metering and usage billing architectures.
Experience with SQL, Looker, Tableau, or Power BI.
You will be successful if you can:
Deliver greater than 99.9% billing accuracy.
Ensure timely monthly invoice generation and operational excellence.
Reduce billing exceptions through automation and process improvements.
Support efficient financial close activities.
Successfully support internal and external audits.
Build scalable Order-to-Cash processes that enable company growth.
Foster strong partnerships across Finance, Revenue Operations, Revenue Accounting, Sales, and Engineering.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe are looking for an experienced Order to Cash Lead to own and scale our end-to-end billing operations across both enterprise subscription and consumption-based (usage) billing models. This role is critical in ensuring accurate, timely, and compliant billing while driving operational excellence across the entire Order-to-Cash (O2C) lifecycle.\n\nThe ideal candidate is a hands-on billing operations leader with deep expertise in enterprise SaaS billing, usage-based billing, and financial operations. You will partner closely with Revenue Operations, Revenue Accounting, Sales Operations, Deal Desk, Product, Engineering, Customer Success, and Finance to build scalable processes that support rapid business growth.\n\nThis role also requires experience supporting external financial audits, implementing strong internal controls, and working in SOX-compliant environments.\n\n \n\n\nWHAT YOU'LL DO\n\n\nLEAD ORDER TO CASH WITH FOCUS ON BILLING OPERATIONS\n\n - Own end-to-end billing operations for enterprise subscription, consumption-based, and hybrid pricing models.\n\n - Ensure timely, accurate, and complete invoice generation across all customer segments.\n\n - Manage billing schedules, contract amendments, renewals, credits, cancellations, and billing adjustments.\n\n - Develop scalable billing processes, controls, and standard operating procedures.\n\n - Drive continuous process improvements to increase billing accuracy, efficiency, and customer satisfaction.\n\n\nOWN THE ORDER-TO-CASH (O2C) PROCESS\n\n - Serve as the operational owner for the complete Order-to-Cash lifecycle, including:\n \n - Order management\n \n - Contract review\n \n - Billing\n \n - Collections support\n \n - Cash application coordination\n\n - Partner with Sales Operations and Deal Desk to ensure customer contracts are operationally executable.\n\n - Identify opportunities for automation and process optimization across the Quote-to-Cash ecosystem , by working closely with data science and data engineering teams\n\n\nMANAGE CONSUMPTION BILLING\n\n - Oversee complex usage-based billing processes, including metering validation, usage reconciliation, rating, pricing, and invoice generation.\n\n - Partner with Product and Engineering teams to ensure accurate usage capture and billing data integrity.\n\n - Investigate and resolve billing exceptions and customer invoice discrepancies.\n\n\nPARTNER WITH REVENUE OPERATIONS\n\n - Collaborate with Revenue Operations to operationalize new pricing models, product launches, and commercial offerings.\n\n - Support Quote-to-Cash process improvements and system integrations across CRM, CPQ, billing platforms, and ERP systems.\n\n - Maintain pricing catalogs and billing configurations to support evolving business needs.\n\n\nPARTNER WITH REVENUE ACCOUNTING\n\n - Work closely with Revenue Accounting to support ASC 606 compliance and accurate revenue recognition.\n\n - Ensure billing transactions align with contract terms and accounting policies.\n\n - Support monthly, quarterly, and annual close activities through reconciliations and billing analysis.\n\n\nAUDIT & COMPLIANCE\n\n - Prepare documentation supporting SOX controls and internal compliance requirements.\n\n - Serve as the primary Billing Operations contact during external financial audits.\n\n - Leverage prior experience supporting Big Four audits to strengthen operational controls and ensure audit readiness.\n\n - Maintain complete audit trails for billing transactions and process documentation.\n\n\nSYSTEMS & PROCESS IMPROVEMENT\n\n - Own continuous improvement of billing systems and integrations.\n\n - Partner with Finance Systems and Engineering teams on automation initiatives and system enhancements.\n\n - Develop operational dashboards and KPIs to monitor billing performance and process health.\n\n\nCROSS-FUNCTIONAL LEADERSHIP\n\n - Build strong partnerships with Revenue Operations, Revenue Accounting, Finance, Sales Operations, Deal Desk, Customer Success, Product, and Engineering.\n\n - Lead cross-functional initiatives supporting new pricing strategies, product launches, and operational scaling.\n\n - Document and maintain best practices and standard operating procedures for Billing Operations.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - Bachelor's degree in Accounting, Finance, Business, or a related field.\n\n - 8+ years of experience in Billing Operations, Revenue Operations, Finance Operations, or Order-to-Cash functions.\n\n - Deep expertise managing both enterprise subscription billing and consumption/usage-based billing models.\n\n - Strong knowledge of the complete Order-to-Cash lifecycle.\n\n - Experience supporting ASC 606 revenue recognition and partnering with Revenue Accounting.\n\n - Experience supporting Big Four external audits and operating within SOX-controlled environments.\n\n - Strong understanding of billing controls, reconciliations, and financial operations.\n\n - Experience with billing and financial systems such as Salesforce, CPQ, NetSuite, Orb and Netsuite.\n\n - Advanced Excel and analytical skills with the ability to identify trends, reconcile data, and improve operational performance.\n\n - Excellent communication, project management, and cross-functional collaboration skills.\n\n\nPREFERRED QUALIFICATIONS\n\n - CPA or equivalent accounting background.\n\n - Experience in high-growth SaaS, cloud infrastructure, or AI companies.\n\n - Experience implementing or scaling billing platforms and ERP systems.\n\n - Familiarity with API-based metering and usage billing architectures.\n\n - Experience with SQL, Looker, Tableau, or Power BI.\n\n\nSUCCESS IN THIS ROLE\n\nYou will be successful if you can:\n\n - Deliver greater than 99.9% billing accuracy.\n\n - Ensure timely monthly invoice generation and operational excellence.\n\n - Reduce billing exceptions through automation and process improvements.\n\n - Support efficient financial close activities.\n\n - Successfully support internal and external audits.\n\n - Build scalable Order-to-Cash processes that enable company growth.\n\n - Foster strong partnerships across Finance, Revenue Operations, Revenue Accounting, Sales, and Engineering.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"a6c58388-14b7-4c16-bd1f-5c2d3753d297","title":"Senior Lifecycle Marketing Manager","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-04T15:13:27.192+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/a6c58388-14b7-4c16-bd1f-5c2d3753d297","applyUrl":"https://jobs.ashbyhq.com/fireworks/a6c58388-14b7-4c16-bd1f-5c2d3753d297/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for a Lifecycle Marketing Sr. Manager to build and scale the customer journeys that power Fireworks' growth engine across both product-led and sales-led motions.
This isn't a traditional CRM or email marketing role. It's a strategic growth role focused on delivering the right message, to the right audience, at the right time—whether they're a prospective buyer, self-serve developer, or enterprise customer.
You'll own the strategy and execution of personalized lifecycle experiences across email, in-product messaging, web, AI-powered touchpoints, and sales- and customer success-enabled programs. Working closely with Product, Growth Marketing, Product Marketing, Sales, Customer Success, Engineering, and Data, you'll build intelligent customer journeys that nurture prospects, accelerate product adoption, deepen customer engagement, and drive long-term retention and expansion.
You'll define how Fireworks communicate throughout the customer lifecycle using behavioral data, product usage, account insights, experimentation, and automation to create experiences that feel timely, relevant, and personalized. You'll also build lifecycle systems that continuously improve through AI, customer behavior, and experimentation.
This is a foundational opportunity to build Lifecycle Marketing from the ground up at one of the fastest-growing AI infrastructure companies.
Design and own Fireworks' lifecycle strategy across the entire customer journey—from lead nurture and onboarding through activation, adoption, retention, expansion, and advocacy.
Build scalable lifecycle programs that accelerate pipeline, improve customer engagement, and drive long-term product adoption and revenue growth.
Develop lifecycle frameworks that support both self-serve (PLG) and enterprise (SLG) customer journeys.
Build and optimize always-on nurture programs for net-new prospects, marketing-qualified leads, remarketable audiences, product users, and existing customers.
Create personalized experiences across email, in-product messaging, web, onboarding, product announcements, customer education, and AI-powered touchpoints.
Develop lifecycle messaging and content that is timely, relevant, and personalized based on where customers are in their journey.
Partner closely with Product, Sales, Customer Success, and Growth Marketing to deliver the right message through the right channel based on customer behavior, buying stage, product usage, and account signals.
Build lifecycle programs that help prospects and customers:
Nurture remarketable audiences into qualified pipeline
Re-engage inactive leads and dormant accounts
Successfully onboard new users
Reach activation milestones faster
Discover new models and platform capabilities
Increase product usage and consumption
Adopt additional products and features
Support enterprise sales and expansion opportunities
Improve retention and long-term customer value
Own lifecycle communications supporting product launches, feature releases, GTM campaigns, customer announcements, and other high-impact business moments.
Partner with Product Marketing and Product teams to ensure messaging is timely, coordinated, and aligned across customer touchpoints.
Build a culture of experimentation across nurture campaigns, onboarding, messaging, customer education, and expansion programs.
Design experimentation frameworks that measure incremental business impact, optimize customer journeys, and inform future lifecycle investments.
Continuously improve lifecycle performance through A/B testing, behavioral insights, and data-driven optimization.
Leverage AI to improve personalization, content generation, segmentation, journey orchestration, and lifecycle decisioning.
Build intelligent lifecycle programs that dynamically determine who to engage, when to engage, where to engage, and what message to deliver based on behavioral, product usage, CRM, and account signals.
Evaluate emerging AI capabilities and automation tools that improve customer experience while increasing marketing efficiency.
Partner with Marketing Analytics and Data to establish lifecycle reporting, customer health metrics, and performance dashboards.
Measure performance across lead engagement, nurture effectiveness, activation, adoption, retention, expansion, pipeline influence, and revenue.
Translate insights into recommendations that continuously improve customer experiences and business outcomes.
8+ years of experience in Lifecycle Marketing, Customer Marketing, Growth Marketing, Product Marketing, CRM, or Product Growth within a high-growth B2B SaaS company.
Experience building lifecycle programs across both product-led and sales-assisted customer journeys.
Proven success developing nurture programs, onboarding experiences, customer engagement initiatives, and expansion campaigns that drive measurable business outcomes.
Hands-on experience with modern marketing automation platforms such as HubSpot, Marketo, Braze, Customer.io, Iterable, or similar platforms.
Strong understanding of audience segmentation, lifecycle operations, email best practices, marketing automation, and customer journey orchestration.
Experience partnering cross-functionally with Product, Sales, Customer Success, Engineering, Product Marketing, and Analytics.
Strong analytical mindset with experience using experimentation, customer insights, and behavioral data to optimize lifecycle performance.
Excellent communication and content development skills with the ability to translate customer insights into scalable lifecycle strategies.
Comfortable building new systems, processes, and programs in fast-moving, ambiguous environments.
Experience at a developer-focused, infrastructure, cloud, or AI platform company.
Experience supporting both PLG and enterprise sales motions.
Experience with product analytics platforms such as Amplitude, Mixpanel, Heap, or similar tools.
Familiarity with AI-powered personalization, agentic workflows, or LLM-driven customer experiences.
Experience supporting usage-based or consumption-based business models.
Experience with customer journey orchestration, experimentation, personalization, or CDP platforms.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE OPPORTUNITY\n\nWe're looking for a Lifecycle Marketing Sr. Manager to build and scale the customer journeys that power Fireworks' growth engine across both product-led and sales-led motions.\n\nThis isn't a traditional CRM or email marketing role. It's a strategic growth role focused on delivering the right message, to the right audience, at the right time—whether they're a prospective buyer, self-serve developer, or enterprise customer.\n\nYou'll own the strategy and execution of personalized lifecycle experiences across email, in-product messaging, web, AI-powered touchpoints, and sales- and customer success-enabled programs. Working closely with Product, Growth Marketing, Product Marketing, Sales, Customer Success, Engineering, and Data, you'll build intelligent customer journeys that nurture prospects, accelerate product adoption, deepen customer engagement, and drive long-term retention and expansion.\n\nYou'll define how Fireworks communicate throughout the customer lifecycle using behavioral data, product usage, account insights, experimentation, and automation to create experiences that feel timely, relevant, and personalized. You'll also build lifecycle systems that continuously improve through AI, customer behavior, and experimentation.\n\nThis is a foundational opportunity to build Lifecycle Marketing from the ground up at one of the fastest-growing AI infrastructure companies.\n\n \n \n\n\nWHAT YOU'LL BE DOING\n\n\nOWN THE LIFECYCLE STRATEGY\n\n - Design and own Fireworks' lifecycle strategy across the entire customer journey—from lead nurture and onboarding through activation, adoption, retention, expansion, and advocacy.\n\n - Build scalable lifecycle programs that accelerate pipeline, improve customer engagement, and drive long-term product adoption and revenue growth.\n\n - Develop lifecycle frameworks that support both self-serve (PLG) and enterprise (SLG) customer journeys.\n\n\nBUILD DEMAND GENERATION & CUSTOMER JOURNEYS\n\n - Build and optimize always-on nurture programs for net-new prospects, marketing-qualified leads, remarketable audiences, product users, and existing customers.\n\n - Create personalized experiences across email, in-product messaging, web, onboarding, product announcements, customer education, and AI-powered touchpoints.\n\n - Develop lifecycle messaging and content that is timely, relevant, and personalized based on where customers are in their journey.\n\n - Partner closely with Product, Sales, Customer Success, and Growth Marketing to deliver the right message through the right channel based on customer behavior, buying stage, product usage, and account signals.\n\n\nDRIVE PIPELINE, ADOPTION & EXPANSION\n\nBuild lifecycle programs that help prospects and customers:\n\n - Nurture remarketable audiences into qualified pipeline\n\n - Re-engage inactive leads and dormant accounts\n\n - Successfully onboard new users\n\n - Reach activation milestones faster\n\n - Discover new models and platform capabilities\n\n - Increase product usage and consumption\n\n - Adopt additional products and features\n\n - Support enterprise sales and expansion opportunities\n\n - Improve retention and long-term customer value\n\n\nEXECUTE GTM & CUSTOMER COMMUNICATIONS\n\n - Own lifecycle communications supporting product launches, feature releases, GTM campaigns, customer announcements, and other high-impact business moments.\n\n - Partner with Product Marketing and Product teams to ensure messaging is timely, coordinated, and aligned across customer touchpoints.\n\n\nEXPERIMENTATION & OPTIMIZATION\n\n - Build a culture of experimentation across nurture campaigns, onboarding, messaging, customer education, and expansion programs.\n\n - Design experimentation frameworks that measure incremental business impact, optimize customer journeys, and inform future lifecycle investments.\n\n - Continuously improve lifecycle performance through A/B testing, behavioral insights, and data-driven optimization.\n\n\nAI & AUTOMATION\n\n - Leverage AI to improve personalization, content generation, segmentation, journey orchestration, and lifecycle decisioning.\n\n - Build intelligent lifecycle programs that dynamically determine who to engage, when to engage, where to engage, and what message to deliver based on behavioral, product usage, CRM, and account signals.\n\n - Evaluate emerging AI capabilities and automation tools that improve customer experience while increasing marketing efficiency.\n\n\nMEASUREMENT & INSIGHTS\n\n - Partner with Marketing Analytics and Data to establish lifecycle reporting, customer health metrics, and performance dashboards.\n\n - Measure performance across lead engagement, nurture effectiveness, activation, adoption, retention, expansion, pipeline influence, and revenue.\n\n - Translate insights into recommendations that continuously improve customer experiences and business outcomes.\n\n \n\n\nWHAT MAKES YOU A GREAT FIT\n\n - 8+ years of experience in Lifecycle Marketing, Customer Marketing, Growth Marketing, Product Marketing, CRM, or Product Growth within a high-growth B2B SaaS company.\n\n - Experience building lifecycle programs across both product-led and sales-assisted customer journeys.\n\n - Proven success developing nurture programs, onboarding experiences, customer engagement initiatives, and expansion campaigns that drive measurable business outcomes.\n\n - Hands-on experience with modern marketing automation platforms such as HubSpot, Marketo, Braze, Customer.io http://Customer.io, Iterable, or similar platforms.\n\n - Strong understanding of audience segmentation, lifecycle operations, email best practices, marketing automation, and customer journey orchestration.\n\n - Experience partnering cross-functionally with Product, Sales, Customer Success, Engineering, Product Marketing, and Analytics.\n\n - Strong analytical mindset with experience using experimentation, customer insights, and behavioral data to optimize lifecycle performance.\n\n - Excellent communication and content development skills with the ability to translate customer insights into scalable lifecycle strategies.\n\n - Comfortable building new systems, processes, and programs in fast-moving, ambiguous environments.\n\n \n\n\nBONUS POINTS FOR\n\n - Experience at a developer-focused, infrastructure, cloud, or AI platform company.\n\n - Experience supporting both PLG and enterprise sales motions.\n\n - Experience with product analytics platforms such as Amplitude, Mixpanel, Heap, or similar tools.\n\n - Familiarity with AI-powered personalization, agentic workflows, or LLM-driven customer experiences.\n\n - Experience supporting usage-based or consumption-based business models.\n\n - Experience with customer journey orchestration, experimentation, personalization, or CDP platforms.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"d5b05158-ad16-49a8-964f-b5e5d8e6191d","title":"Facilities Manager","department":"General Admin","team":"Workplace","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-06T23:53:16.763+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/d5b05158-ad16-49a8-964f-b5e5d8e6191d","applyUrl":"https://jobs.ashbyhq.com/fireworks/d5b05158-ad16-49a8-964f-b5e5d8e6191d/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for a strategic Facilities Manager to lead our global workplace footprint as we grow into new markets. You'll own our facilities roadmap — site strategy, budgeting, and major projects like buildouts and new office openings — while managing a team of regional office managers who handle day-to-day execution. This role suits someone with global or multi-site facilities experience who's ready to build scalable systems rather than run daily operations.
Key Responsibilities
Lead space planning and site strategy for new office openings, expansions, and consolidations, partnering with Finance, Legal, and executive leadership on lease negotiations, site selection, and capital planning.
Manage and mentor a team of office managers across regions, setting standards, providing coaching, and ensuring consistent execution of workplace programs globally.
Build and maintain scalable facilities frameworks (playbooks, vendor standards, safety protocols) that regional office managers can execute locally.
Ensure all office locations comply with local labor, safety, and building regulations, partnering with Legal and local teams to navigate country-specific requirements as we expand into new markets.
Serve as the senior escalation point for complex, cross-regional facilities issues.
Develop the facilities budget in partnership with Finance and leadership; manage facility budget and operational costs across all sites.
Lead major projects such as office buildouts, relocations, or new market entries end-to-end — planning, budgeting, stakeholder alignment, and delivery.
Partner with Office Managers and the People team to shape a workplace experience — for employees and visitors alike — that reflects and reinforces our culture, from day-to-day environment to how we welcome guests and celebrate milestones.
Minimum Qualifications
5-8 years in facilities or workplace strategy, with proven experience managing multi-site office portfolio — not limited to a single-location operational role.
Demonstrated success building and scaling workplace strategy in step with business growth, ideally in a high-growth tech company.
Strong project management skills, with experience leading complex, multi-stakeholder initiatives (office buildouts, relocations, market entries) from planning through delivery.
Experience managing a team with coaching, developing, and setting direction for office managers or similar direct reports.
Experience negotiating leases, vendor contracts, and master service agreements at a portfolio level.
Preferred Qualifications:
Experience with global or international office operations, including regional compliance, cultural, and logistical considerations.
Demonstrated experience designing and executing campus events and daily activities, in partnership with internal stakeholders, to foster a high-energy, engaged workplace.
Comfortable operating with ambiguity, translating high-level business/geo strategy into concrete facilities plans.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\n\nWe're looking for a strategic Facilities Manager to lead our global workplace footprint as we grow into new markets. You'll own our facilities roadmap — site strategy, budgeting, and major projects like buildouts and new office openings — while managing a team of regional office managers who handle day-to-day execution. This role suits someone with global or multi-site facilities experience who's ready to build scalable systems rather than run daily operations.\n\nKey Responsibilities\n\n - Lead space planning and site strategy for new office openings, expansions, and consolidations, partnering with Finance, Legal, and executive leadership on lease negotiations, site selection, and capital planning.\n\n - Manage and mentor a team of office managers across regions, setting standards, providing coaching, and ensuring consistent execution of workplace programs globally.\n\n - Build and maintain scalable facilities frameworks (playbooks, vendor standards, safety protocols) that regional office managers can execute locally.\n\n - Ensure all office locations comply with local labor, safety, and building regulations, partnering with Legal and local teams to navigate country-specific requirements as we expand into new markets.\n\n - Serve as the senior escalation point for complex, cross-regional facilities issues.\n\n - Develop the facilities budget in partnership with Finance and leadership; manage facility budget and operational costs across all sites.\n\n - Lead major projects such as office buildouts, relocations, or new market entries end-to-end — planning, budgeting, stakeholder alignment, and delivery.\n\n - Partner with Office Managers and the People team to shape a workplace experience — for employees and visitors alike — that reflects and reinforces our culture, from day-to-day environment to how we welcome guests and celebrate milestones.\n\nMinimum Qualifications\n\n - 5-8 years in facilities or workplace strategy, with proven experience managing multi-site office portfolio — not limited to a single-location operational role.\n\n - Demonstrated success building and scaling workplace strategy in step with business growth, ideally in a high-growth tech company.\n\n - Strong project management skills, with experience leading complex, multi-stakeholder initiatives (office buildouts, relocations, market entries) from planning through delivery.\n\n - Experience managing a team with coaching, developing, and setting direction for office managers or similar direct reports.\n\n - Experience negotiating leases, vendor contracts, and master service agreements at a portfolio level.\n\nPreferred Qualifications:\n\n - Experience with global or international office operations, including regional compliance, cultural, and logistical considerations.\n\n - Demonstrated experience designing and executing campus events and daily activities, in partnership with internal stakeholders, to foster a high-energy, engaged workplace.\n\n - Comfortable operating with ambiguity, translating high-level business/geo strategy into concrete facilities plans.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"d5063bc9-d2ac-4ee4-9e0c-23ea74ad83b2","title":"Head of Product Marketing","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-06T18:03:45.380+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/d5063bc9-d2ac-4ee4-9e0c-23ea74ad83b2","applyUrl":"https://jobs.ashbyhq.com/fireworks/d5063bc9-d2ac-4ee4-9e0c-23ea74ad83b2/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
The Head of Product Marketing owns a large part of how Fireworks shows up in the market. The winners in AI infrastructure will be defined by clarity of positioning, sharpness of category narrative, and the quality of the sales motion that converts technical believers into long-term customers. This role builds the messaging foundation, leads product launches, drives the competitive program, and arms the GTM team to win across priority segments.
The right person has done this at an infrastructure or developer-tools company in the Series B to D stage and has scar tissue from positioning a deeply technical product to both bottoms-up developer audiences and top-down enterprise buyers across multiple buyer profiles.
Reports to: SVP Marketing
Location: SF Bay Area
This role is based in our San Mateo office. We expect team members in this role to be in the office three days per week. PMM sits at the intersection of product, sales, and engineering, and the work benefits from in-person collaboration, quick feedback loops, and proximity to cross-functional partners.
You own the Fireworks positioning, the category narrative, and the language we use to describe what we do and why it matters. This includes the corporate narrative, ICP definition, and the messaging architecture that every other team pulls from. You translate that architecture into segment-specific narratives for AI-Native, Digital-Native, and Enterprise accounts, each of which buys differently and values different proof points. Success is measured by whether sales reps, prospects, analysts, and press all describe Fireworks in a consistent way.
You own the end-to-end go-to-market for major product launches in partnership with Product and Engineering. This includes launch tiering, narrative, sales enablement, press and analyst strategy, and customer evidence. Success is measured by launch quality, time from GA to first referenceable customer, and media/analyst pickup.
You own the competitive program: battlecards, win/loss analysis, deal support for top opportunities, and the systematic feedback loop into Product. You also own the sales enablement curriculum for new and existing reps as it relates to our platform, tuned to how AI-Native, Digital-Native, and Enterprise buyers each evaluate the category. Success is measured by win rates against priority competitors and influence on time-to-productivity for new sellers.
You own a structured listening function across customers, prospects, analysts, and the broader market. This includes win/loss interviews, voice-of-customer programs, and analyst relations. Insights flow back into messaging, product strategy, and the leadership team.
Win rates against priority competitors trend up quarter over quarter across all three priority segments
Sales leadership names PMM as a top-three driver of pipeline conversion
Every major product launch lands with clear positioning, analyst coverage, and customer references in market
The Fireworks category narrative shows up in analyst reports, press coverage, and customer conversations using our language
Time from product GA to first reference customer drops materially
Demand generation and campaigns: Demand Gen leader
Developer relations and technical content: Head of Developer Relations
Brand identity and visual system: Head of Brand
Marketing operations, attribution, and reporting: Head of Marketing Operations
Not primarily a writing role. Sharp writing matters, but this is a strategic leadership role first, and you will hire ICs who report to you.
Not a content marketing role. Top-of-funnel content is supported by DevRel and Demand Gen.
You inherit a small PMM team and will build from there.
10+ years in product marketing with 5+ years in a senior or leadership role
Experience scaling PMM at a developer or infrastructure company
Track record at a technical infrastructure company (databases, observability, AI/ML platforms, dev tools)
Strong ability to translate deeply technical concepts into both developer and executive narratives
A bias toward shipping over polishing, and the operational instincts to run a structured launch process
Fluency in competitive analysis and the ability to teach reps to position against incumbents and challengers
Demonstrated experience marketing to multiple buyer profiles simultaneously, including both technical practitioners and economic buyers
Past experience marketing to AI/ML practitioners or ML platform buyers
Background as a former product manager or technical practitioner
Experience working closely with a founder-led narrative
Familiarity with open source go-to-market motions
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THIS ROLE\n\nThe Head of Product Marketing owns a large part of how Fireworks shows up in the market. The winners in AI infrastructure will be defined by clarity of positioning, sharpness of category narrative, and the quality of the sales motion that converts technical believers into long-term customers. This role builds the messaging foundation, leads product launches, drives the competitive program, and arms the GTM team to win across priority segments.\n\nThe right person has done this at an infrastructure or developer-tools company in the Series B to D stage and has scar tissue from positioning a deeply technical product to both bottoms-up developer audiences and top-down enterprise buyers across multiple buyer profiles.\n\nReports to: SVP Marketing\n\nLocation: SF Bay Area\n\n\n\n\nLOCATION & WORK STYLE\n\nThis role is based in our San Mateo office. We expect team members in this role to be in the office three days per week. PMM sits at the intersection of product, sales, and engineering, and the work benefits from in-person collaboration, quick feedback loops, and proximity to cross-functional partners.\n\n\n\n\nRESPONSIBILITIES\n\n\n\n\nPOSITIONING AND CATEGORY STRATEGY\n\nYou own the Fireworks positioning, the category narrative, and the language we use to describe what we do and why it matters. This includes the corporate narrative, ICP definition, and the messaging architecture that every other team pulls from. You translate that architecture into segment-specific narratives for AI-Native, Digital-Native, and Enterprise accounts, each of which buys differently and values different proof points. Success is measured by whether sales reps, prospects, analysts, and press all describe Fireworks in a consistent way.\n\n\n\n\nPRODUCT LAUNCH LEADERSHIP\n\nYou own the end-to-end go-to-market for major product launches in partnership with Product and Engineering. This includes launch tiering, narrative, sales enablement, press and analyst strategy, and customer evidence. Success is measured by launch quality, time from GA to first referenceable customer, and media/analyst pickup.\n\n\n\n\nCOMPETITIVE INTELLIGENCE AND SALES ENABLEMENT\n\nYou own the competitive program: battlecards, win/loss analysis, deal support for top opportunities, and the systematic feedback loop into Product. You also own the sales enablement curriculum for new and existing reps as it relates to our platform, tuned to how AI-Native, Digital-Native, and Enterprise buyers each evaluate the category. Success is measured by win rates against priority competitors and influence on time-to-productivity for new sellers.\n\n\n\n\nCUSTOMER AND MARKET INSIGHTS\n\nYou own a structured listening function across customers, prospects, analysts, and the broader market. This includes win/loss interviews, voice-of-customer programs, and analyst relations. Insights flow back into messaging, product strategy, and the leadership team.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Win rates against priority competitors trend up quarter over quarter across all three priority segments\n\n - Sales leadership names PMM as a top-three driver of pipeline conversion\n\n - Every major product launch lands with clear positioning, analyst coverage, and customer references in market\n\n - The Fireworks category narrative shows up in analyst reports, press coverage, and customer conversations using our language\n\n - Time from product GA to first reference customer drops materially\n\n\nWHAT THIS ROLE DOES NOT OWN\n\n - Demand generation and campaigns: Demand Gen leader\n\n - Developer relations and technical content: Head of Developer Relations\n\n - Brand identity and visual system: Head of Brand\n\n - Marketing operations, attribution, and reporting: Head of Marketing Operations\n\n\nWHAT THIS ROLE IS NOT\n\n - Not primarily a writing role. Sharp writing matters, but this is a strategic leadership role first, and you will hire ICs who report to you.\n\n - Not a content marketing role. Top-of-funnel content is supported by DevRel and Demand Gen.\n\n\nTEAM AND GROWTH\n\nYou inherit a small PMM team and will build from there.\n\n\n\n\nYOU SHOULD HAVE\n\n - 10+ years in product marketing with 5+ years in a senior or leadership role\n\n - Experience scaling PMM at a developer or infrastructure company\n\n - Track record at a technical infrastructure company (databases, observability, AI/ML platforms, dev tools)\n\n - Strong ability to translate deeply technical concepts into both developer and executive narratives\n\n - A bias toward shipping over polishing, and the operational instincts to run a structured launch process\n\n - Fluency in competitive analysis and the ability to teach reps to position against incumbents and challengers\n\n - Demonstrated experience marketing to multiple buyer profiles simultaneously, including both technical practitioners and economic buyers\n\n\nNICE TO HAVE\n\n - Past experience marketing to AI/ML practitioners or ML platform buyers\n\n - Background as a former product manager or technical practitioner\n\n - Experience working closely with a founder-led narrative\n\n - Familiarity with open source go-to-market motions\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"2b47b54e-ef8c-45da-acfa-25074396a4e1","title":"Product Marketing Lead, Partnerships","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-05T18:34:24.275+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/2b47b54e-ef8c-45da-acfa-25074396a4e1","applyUrl":"https://jobs.ashbyhq.com/fireworks/2b47b54e-ef8c-45da-acfa-25074396a4e1/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About This Role
Fireworks’ partner ecosystem is one of our most important growth engines.
We work closely with leading cloud providers, GPU manufacturers, AI platforms, and infrastructure companies—including Microsoft Azure, Azure AI Foundry, AWS, NVIDIA, MongoDB, and others—to help customers build and deploy production AI faster.
The PMM owner for Partnerships owns the go-to-market strategy for this ecosystem.
You are responsible for how Fireworks shows up alongside our strategic partners. You define joint value propositions, develop launch strategies, build customer evidence, enable partner sellers, and create the narratives that help customers understand why Fireworks and our partners are better together than either company is alone.
You’ll partner closely with Alliances, Product, Engineering, Sales, Growth Marketing, Communications, and executive leadership to turn strategic partnerships into measurable business growth.
This is not a role for someone who wants to execute partner requests.
It’s for someone who wants to build the go-to-market strategy for one of Fireworks’ most important growth channels.
Reports to: Head of Product Marketing
Location: SF Bay Area
We expect team members in this role to be in the office three days per week. Success in this role depends on close collaboration across Product, Partnerships, Sales, and Marketing, as well as frequent engagement with partner marketing and product teams.
Own the Partner Narrative
You are responsible for how customers understand the combined value of Fireworks and our strategic partners.
You will:
Develop joint positioning, messaging, and value propositions for strategic partners.
Create differentiated narratives tailored to cloud providers, infrastructure partners, model providers, and enterprise technology ecosystems.
Build messaging that helps customers understand when and why to adopt Fireworks through partner solutions.
Partner with executives on keynote messaging, joint blogs, launch announcements, and strategic customer communications.
Continuously refine partner messaging based on customer feedback, market trends, and partner priorities.
Success is measured by partner adoption of messaging, customer understanding, and the effectiveness of joint GTM efforts.
Own Joint Product Launches
Great partnerships deserve great launches.
You will:
Lead product marketing for joint launches with strategic partners.
Develop launch strategies, messaging, customer communications, enablement, and partner assets.
Coordinate launches across Fireworks Product, Engineering, Partnerships, Communications, Growth Marketing, and partner organizations.
Create launch plans that maximize customer awareness and partner engagement.
Measure launch effectiveness and continuously improve execution.
Success is measured by launch quality, partner participation, customer engagement, and pipeline influence.
Grow the Partner Ecosystem
Partnerships should drive measurable business outcomes.
You will:
Partner closely with the Alliances team to develop joint GTM plans for strategic accounts and partner motions.
Support partner activation across field events, webinars, customer campaigns, and industry conferences.
Develop programs that accelerate partner-sourced pipeline and customer adoption.
Identify opportunities to expand existing partnerships and strengthen strategic relationships.
Help define the marketing strategy for new strategic partnerships as Fireworks continues to grow.
Success is measured by partner-sourced pipeline, customer adoption, and partner engagement.
Tell Customer Stories
Customer proof is one of the strongest ways to grow a partner ecosystem.
You will:
Develop joint customer case studies showcasing measurable business outcomes.
Create technical success stories spanning AI-native startups through Global 2000 enterprises.
Build reference materials that support executive conversations, partner sellers, and customer marketing.
Work with customers and partners to highlight differentiated technical and business value.
Success is measured by customer references, case study adoption, and influence on strategic opportunities.
Enable Fireworks and Partner Sales Teams
Great positioning only matters if people use it.
You will:
Create sales decks, messaging guides, competitive positioning, customer presentations, and technical narratives.
Build enablement programs for Fireworks sellers and partner field organizations.
Support strategic customer opportunities alongside Sales, Solutions Engineering, and Alliances.
Ensure consistent messaging across partner organizations.
Success is measured by field adoption, partner confidence, and influence on partner-sourced revenue.
Be the Voice of the Market
Strong partner marketing starts with strong market understanding.
You will:
Gather insights from customers, partners, analysts, and competitors.
Monitor shifts in cloud infrastructure, AI platforms, GPU ecosystems, and enterprise AI adoption.
Identify opportunities to improve positioning and joint offerings.
Bring market insights back into Product, Partnerships, and executive planning.
Success is measured by the quality of market insights and their influence on GTM strategy.
Fireworks develops compelling joint narratives with every strategic partner.
Joint product launches consistently generate customer engagement, partner participation, and measurable business impact.
Partner sellers confidently position Fireworks and actively use your enablement materials.
Customer success stories become a core part of executive conversations and joint GTM programs.
Strategic partnerships become an increasingly meaningful driver of pipeline, customer adoption, and revenue.
Leadership views you as the marketing owner for Fireworks’ strategic partner ecosystem.
8–10+ years in Product Marketing, Technical Marketing, Partner Marketing, or a related GTM role.
Experience marketing cloud infrastructure, AI infrastructure, developer platforms, or enterprise software.
Experience launching highly technical products in partnership with strategic technology partners.
Strong understanding of cloud providers, GPU ecosystems, enterprise AI platforms, or developer infrastructure.
Demonstrated ability to work across Product, Engineering, Sales, Partnerships, and executive leadership.
Excellent storytelling skills, with the ability to translate technical innovation into compelling customer value.
Strong analytical skills and an ownership mentality—you think like the person responsible for growing the business, not just shipping assets.
Experience working with Microsoft Azure, AWS, Google Cloud, NVIDIA, or other strategic infrastructure partners.
Familiarity with AI infrastructure, inference, model serving, or developer platforms.
Experience supporting both enterprise sales and strategic alliances.
Engineering background or technical degree.
MBA or equivalent business experience.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nAbout This Role\n\nFireworks’ partner ecosystem is one of our most important growth engines.\n\nWe work closely with leading cloud providers, GPU manufacturers, AI platforms, and infrastructure companies—including Microsoft Azure, Azure AI Foundry, AWS, NVIDIA, MongoDB, and others—to help customers build and deploy production AI faster.\n\nThe PMM owner for Partnerships owns the go-to-market strategy for this ecosystem.\n\nYou are responsible for how Fireworks shows up alongside our strategic partners. You define joint value propositions, develop launch strategies, build customer evidence, enable partner sellers, and create the narratives that help customers understand why Fireworks and our partners are better together than either company is alone.\n\nYou’ll partner closely with Alliances, Product, Engineering, Sales, Growth Marketing, Communications, and executive leadership to turn strategic partnerships into measurable business growth.\n\nThis is not a role for someone who wants to execute partner requests.\n\nIt’s for someone who wants to build the go-to-market strategy for one of Fireworks’ most important growth channels.\n\nReports to: Head of Product Marketing\n\nLocation: SF Bay Area\n\nWe expect team members in this role to be in the office three days per week. Success in this role depends on close collaboration across Product, Partnerships, Sales, and Marketing, as well as frequent engagement with partner marketing and product teams.\n\n\n\n\nRESPONSIBILITIES\n\nOwn the Partner Narrative\n\nYou are responsible for how customers understand the combined value of Fireworks and our strategic partners.\n\nYou will:\n\n - Develop joint positioning, messaging, and value propositions for strategic partners.\n\n - Create differentiated narratives tailored to cloud providers, infrastructure partners, model providers, and enterprise technology ecosystems.\n\n - Build messaging that helps customers understand when and why to adopt Fireworks through partner solutions.\n\n - Partner with executives on keynote messaging, joint blogs, launch announcements, and strategic customer communications.\n\n - Continuously refine partner messaging based on customer feedback, market trends, and partner priorities.\n\nSuccess is measured by partner adoption of messaging, customer understanding, and the effectiveness of joint GTM efforts.\n\n\n\nOwn Joint Product Launches\n\nGreat partnerships deserve great launches.\n\nYou will:\n\n - Lead product marketing for joint launches with strategic partners.\n\n - Develop launch strategies, messaging, customer communications, enablement, and partner assets.\n\n - Coordinate launches across Fireworks Product, Engineering, Partnerships, Communications, Growth Marketing, and partner organizations.\n\n - Create launch plans that maximize customer awareness and partner engagement.\n\n - Measure launch effectiveness and continuously improve execution.\n\nSuccess is measured by launch quality, partner participation, customer engagement, and pipeline influence.\n\nGrow the Partner Ecosystem\n\nPartnerships should drive measurable business outcomes.\n\nYou will:\n\n - Partner closely with the Alliances team to develop joint GTM plans for strategic accounts and partner motions.\n\n - Support partner activation across field events, webinars, customer campaigns, and industry conferences.\n\n - Develop programs that accelerate partner-sourced pipeline and customer adoption.\n\n - Identify opportunities to expand existing partnerships and strengthen strategic relationships.\n\n - Help define the marketing strategy for new strategic partnerships as Fireworks continues to grow.\n\nSuccess is measured by partner-sourced pipeline, customer adoption, and partner engagement.\n\n\n\nTell Customer Stories\n\nCustomer proof is one of the strongest ways to grow a partner ecosystem.\n\nYou will:\n\n - Develop joint customer case studies showcasing measurable business outcomes.\n\n - Create technical success stories spanning AI-native startups through Global 2000 enterprises.\n\n - Build reference materials that support executive conversations, partner sellers, and customer marketing.\n\n - Work with customers and partners to highlight differentiated technical and business value.\n\nSuccess is measured by customer references, case study adoption, and influence on strategic opportunities.\n\nEnable Fireworks and Partner Sales Teams\n\nGreat positioning only matters if people use it.\n\nYou will:\n\n - Create sales decks, messaging guides, competitive positioning, customer presentations, and technical narratives.\n\n - Build enablement programs for Fireworks sellers and partner field organizations.\n\n - Support strategic customer opportunities alongside Sales, Solutions Engineering, and Alliances.\n\n - Ensure consistent messaging across partner organizations.\n\nSuccess is measured by field adoption, partner confidence, and influence on partner-sourced revenue.\n\nBe the Voice of the Market\n\nStrong partner marketing starts with strong market understanding.\n\nYou will:\n\n - Gather insights from customers, partners, analysts, and competitors.\n\n - Monitor shifts in cloud infrastructure, AI platforms, GPU ecosystems, and enterprise AI adoption.\n\n - Identify opportunities to improve positioning and joint offerings.\n\n - Bring market insights back into Product, Partnerships, and executive planning.\n\nSuccess is measured by the quality of market insights and their influence on GTM strategy.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Fireworks develops compelling joint narratives with every strategic partner.\n\n - Joint product launches consistently generate customer engagement, partner participation, and measurable business impact.\n\n - Partner sellers confidently position Fireworks and actively use your enablement materials.\n\n - Customer success stories become a core part of executive conversations and joint GTM programs.\n\n - Strategic partnerships become an increasingly meaningful driver of pipeline, customer adoption, and revenue.\n\n - Leadership views you as the marketing owner for Fireworks’ strategic partner ecosystem.\n\n\nYOU SHOULD HAVE\n\n - 8–10+ years in Product Marketing, Technical Marketing, Partner Marketing, or a related GTM role.\n\n - Experience marketing cloud infrastructure, AI infrastructure, developer platforms, or enterprise software.\n\n - Experience launching highly technical products in partnership with strategic technology partners.\n\n - Strong understanding of cloud providers, GPU ecosystems, enterprise AI platforms, or developer infrastructure.\n\n - Demonstrated ability to work across Product, Engineering, Sales, Partnerships, and executive leadership.\n\n - Excellent storytelling skills, with the ability to translate technical innovation into compelling customer value.\n\n - Strong analytical skills and an ownership mentality—you think like the person responsible for growing the business, not just shipping assets.\n\n\nNICE TO HAVE\n\n - Experience working with Microsoft Azure, AWS, Google Cloud, NVIDIA, or other strategic infrastructure partners.\n\n - Familiarity with AI infrastructure, inference, model serving, or developer platforms.\n\n - Experience supporting both enterprise sales and strategic alliances.\n\n - Engineering background or technical degree.\n\n - MBA or equivalent business experience.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"01166f87-1b1f-4e2e-8b7d-be6708566434","title":"GTM Engineer","department":"Revenue Operations","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2026-08-06T19:03:05.489+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/01166f87-1b1f-4e2e-8b7d-be6708566434","applyUrl":"https://jobs.ashbyhq.com/fireworks/01166f87-1b1f-4e2e-8b7d-be6708566434/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're hiring a GTM Engineer to help design, operate, and continuously improve the systems powering our revenue engine. This role sits at the intersection of GTM systems architecture and field execution — ensuring our tools, automations, and data flows are not only well designed, but actively driving productivity for our sales and marketing teams.
You will work closely with sellers, marketers, and GTM leadership to ensure our systems surface the right signals, eliminate manual work, and help the team move faster.
The Role
Everything about the customer engagement workflow is changing - and the pace of change is faster than ever. You’re someone who wants to invent the sales platform of the future. Our goal is to have a simple and powerful agentic customer engagement experience that enables our sellers, solutions architects and team to win more business. You’re someone who wants to see world class AI applied to our go to market execution.
You architect and operate the GTM tech stack — ensuring tools like Salesforce, HubSpot, Gong, Clay, Harmonic, LeadGenius, LeadIQ, and Zapier work together seamlessly.You build the one stop shop UI that harnesses the power of these tools and makes it easy for sales teams to use.
You’ll design integrations, build automation, and ensure data flows cleanly across systems. Just as importantly, you'll partner directly with sellers to ensure the stack is actually helping them sell — improving workflows, removing friction, and ensuring signals translate into action.
When reps struggle with tooling, workflows break, or valuable signals are missed, you step in to refine the system and make it better.
What You'll Own
GTM Systems & Integrations
Design and maintain the architecture of the GTM tech stack, ensuring tools across sales, marketing, and growth operate as a cohesive system
Build and maintain integrations across Salesforce, HubSpot, Gong, Clay, Harmonic, LeadGenius, LeadIQ, and Zapier
Design automation workflows that eliminate manual work, improve data quality, and accelerate pipeline velocity
Ensure enrichment data, engagement signals, and activity history flow across systems
Seller Workflows & Tool Adoption
Partner closely with sellers and GTM leadership to ensure systems support real day-to-day selling workflows
Identify friction in the sales process and translate it into improved automation, tooling, or process design
Ensure reps are effectively using the GTM stack — from CRM hygiene to signal-driven workflows
Support onboarding and training for new sellers on how to leverage our tools and automation
Data Integrity & Revenue Insights
Help maintain Salesforce as a clean, reliable system of record
Support the CRM data model, automation, and field governance to ensure consistent data capture
Ensure GTM systems produce trustworthy data that can power reporting and decision making
Build and maintain reporting that provides visibility into pipeline health, funnel performance, and campaign impact
What We're Looking For
5+ years in Revenue Operations, Sales Operations, or Marketing Operations at a B2B SaaS company
Strong experience working in Salesforce as an administrator or advanced user
Hands-on experience with modern GTM tools such as Salesforce, HubSpot, Gong, Clay, LeadGenius, LeadIQ, or Zapier
Experience designing workflows and automation that improve sales productivity
Comfortable working directly with sellers and translating operational needs into system improvements
Strong systems mindset — understanding how data, integrations, and workflows connect
Curious about new GTM tools and excited to experiment with AI-driven workflows
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nWe're hiring a GTM Engineer to help design, operate, and continuously improve the systems powering our revenue engine. This role sits at the intersection of GTM systems architecture and field execution — ensuring our tools, automations, and data flows are not only well designed, but actively driving productivity for our sales and marketing teams.\n\nYou will work closely with sellers, marketers, and GTM leadership to ensure our systems surface the right signals, eliminate manual work, and help the team move faster.\n\nThe Role\n\nEverything about the customer engagement workflow is changing - and the pace of change is faster than ever. You’re someone who wants to invent the sales platform of the future. Our goal is to have a simple and powerful agentic customer engagement experience that enables our sellers, solutions architects and team to win more business. You’re someone who wants to see world class AI applied to our go to market execution.\n\nYou architect and operate the GTM tech stack — ensuring tools like Salesforce, HubSpot, Gong, Clay, Harmonic, LeadGenius, LeadIQ, and Zapier work together seamlessly.You http://seamlessly.You build the one stop shop UI that harnesses the power of these tools and makes it easy for sales teams to use.\n\nYou’ll design integrations, build automation, and ensure data flows cleanly across systems. Just as importantly, you'll partner directly with sellers to ensure the stack is actually helping them sell — improving workflows, removing friction, and ensuring signals translate into action.\n\nWhen reps struggle with tooling, workflows break, or valuable signals are missed, you step in to refine the system and make it better.\n\nWhat You'll Own\n\nGTM Systems & Integrations\n\n - Design and maintain the architecture of the GTM tech stack, ensuring tools across sales, marketing, and growth operate as a cohesive system\n\n - Build and maintain integrations across Salesforce, HubSpot, Gong, Clay, Harmonic, LeadGenius, LeadIQ, and Zapier\n\n - Design automation workflows that eliminate manual work, improve data quality, and accelerate pipeline velocity\n\n - Ensure enrichment data, engagement signals, and activity history flow across systems\n\nSeller Workflows & Tool Adoption\n\n - Partner closely with sellers and GTM leadership to ensure systems support real day-to-day selling workflows\n\n - Identify friction in the sales process and translate it into improved automation, tooling, or process design\n\n - Ensure reps are effectively using the GTM stack — from CRM hygiene to signal-driven workflows\n\n - Support onboarding and training for new sellers on how to leverage our tools and automation\n\nData Integrity & Revenue Insights\n\n - Help maintain Salesforce as a clean, reliable system of record\n\n - Support the CRM data model, automation, and field governance to ensure consistent data capture\n\n - Ensure GTM systems produce trustworthy data that can power reporting and decision making\n\n - Build and maintain reporting that provides visibility into pipeline health, funnel performance, and campaign impact\n\nWhat We're Looking For\n\n - 5+ years in Revenue Operations, Sales Operations, or Marketing Operations at a B2B SaaS company\n\n - Strong experience working in Salesforce as an administrator or advanced user\n\n - Hands-on experience with modern GTM tools such as Salesforce, HubSpot, Gong, Clay, LeadGenius, LeadIQ, or Zapier\n\n - Experience designing workflows and automation that improve sales productivity\n\n - Comfortable working directly with sellers and translating operational needs into system improvements\n\n - Strong systems mindset — understanding how data, integrations, and workflows connect\n\n - Curious about new GTM tools and excited to experiment with AI-driven workflows\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"89d811de-2505-4173-bf37-b173ce53ecf1","title":"Member of Technical Staff, Enterprise Foundations","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-08-07T17:53:16.901+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/89d811de-2505-4173-bf37-b173ce53ecf1","applyUrl":"https://jobs.ashbyhq.com/fireworks/89d811de-2505-4173-bf37-b173ce53ecf1/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Enterprise Foundations builds the capabilities the largest companies in the world need before they can run their business on Fireworks. Global banks, insurers, healthcare and legal technology companies, and large-scale SaaS platforms are moving AI into production now, and they arrive with requirements that only apply to scaled companies: how their organization and users are modeled, who is allowed to do what, how usage is metered and billed, what gets logged, where data lives and who holds the keys, and whether the whole thing can run inside their own cloud.
You will own that work as end-to-end features. A single project routinely starts in a customer conversation, becomes a change to a core data model or API, and then has to be threaded through the control plane, the training and inference stacks, the SDK and CLI, and the console before it counts as shipped. Much of what we build is a foundational shift rather than an addition: a new primitive that other teams' code has to move onto, rolled out against live production traffic without breaking anyone.
The work sits close to revenue. Requirements come out of live enterprise deals, security reviews, and customer conversations. You will be in those rooms, decide what product becomes, and go build it.
Own foundational capabilities end to end — data model and API through control plane, runtime, SDK/CLI, and console — and migrate live systems onto them
Design the primitives large customers organize around — organizations and sub-accounts, groups, roles, service identities — and connect them to enterprise directories through federation and provisioning (SSO, SCIM)
Design multi-tenant authorization, policy enforcement, and audit systems that hold up in front of a security architect
Make usage metering, spend controls, and billing correct and legible at scale — customers reconcile our numbers against their own
Own data isolation and key management — customer-managed encryption keys across AWS, GCP, and Azure — threaded through datasets, fine-tuning, RL, checkpoints, models, and inference
Deploy and operate Fireworks inside a customer's own cloud, and solve data residency and regional isolation for customers with hard constraints
Use AI tooling aggressively — we expect you to automate yourself
You want your work measured in unblocked revenue, not tickets closed
You're comfortable owning domains you've never worked in before
You want the whole problem — data model through UI — and don't need someone else to draw the edges for you
You can hold your own with an enterprise security architect
You'd rather ship what closes the deal than perfect the abstraction
You treat ambiguity as the job, not a complaint about the job
2+ years building and operating production backend or distributed systems at scale
Strong server-side engineering skills in Go, Python, C++, TypeScript, or similar, and willingness to work outside your primary layer to land a feature
Experience designing APIs and data models that other teams build on, and evolving them under live traffic without breaking callers
Hands-on depth in at least one major cloud (AWS, GCP, or Azure): IAM and workload identity, KMS, object storage, and VPC networking
A track record of owning an ambiguous, cross-team workstream from requirement through production
Willingness to work directly with customers
Experience building for regulated enterprises — financial services, healthcare, or similar — including SOC 2 and customer security reviews
Enterprise identity and tenancy: SSO, SCIM provisioning, RBAC/ABAC, audit logging, and org modeling
Metering, quotas, or billing systems where correctness is customer-visible
Applied cryptography and key management: envelope encryption, KMS, and threat modeling
Kubernetes depth and infrastructure-as-code fluency (Terraform, GitOps)
Familiarity with LLM inference and fine-tuning — our work runs straight through the training and serving stacks, so it helps
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nEnterprise Foundations builds the capabilities the largest companies in the world need before they can run their business on Fireworks. Global banks, insurers, healthcare and legal technology companies, and large-scale SaaS platforms are moving AI into production now, and they arrive with requirements that only apply to scaled companies: how their organization and users are modeled, who is allowed to do what, how usage is metered and billed, what gets logged, where data lives and who holds the keys, and whether the whole thing can run inside their own cloud.\n\nYou will own that work as end-to-end features. A single project routinely starts in a customer conversation, becomes a change to a core data model or API, and then has to be threaded through the control plane, the training and inference stacks, the SDK and CLI, and the console before it counts as shipped. Much of what we build is a foundational shift rather than an addition: a new primitive that other teams' code has to move onto, rolled out against live production traffic without breaking anyone.\n\nThe work sits close to revenue. Requirements come out of live enterprise deals, security reviews, and customer conversations. You will be in those rooms, decide what product becomes, and go build it.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own foundational capabilities end to end — data model and API through control plane, runtime, SDK/CLI, and console — and migrate live systems onto them\n\n - Design the primitives large customers organize around — organizations and sub-accounts, groups, roles, service identities — and connect them to enterprise directories through federation and provisioning (SSO, SCIM)\n\n - Design multi-tenant authorization, policy enforcement, and audit systems that hold up in front of a security architect\n\n - Make usage metering, spend controls, and billing correct and legible at scale — customers reconcile our numbers against their own\n\n - Own data isolation and key management — customer-managed encryption keys across AWS, GCP, and Azure — threaded through datasets, fine-tuning, RL, checkpoints, models, and inference\n\n - Deploy and operate Fireworks inside a customer's own cloud, and solve data residency and regional isolation for customers with hard constraints\n\n - Use AI tooling aggressively — we expect you to automate yourself\n \n \n\n\nYOU MIGHT BE A FIT IF\n\n - You want your work measured in unblocked revenue, not tickets closed\n\n - You're comfortable owning domains you've never worked in before\n\n - You want the whole problem — data model through UI — and don't need someone else to draw the edges for you\n\n - You can hold your own with an enterprise security architect\n\n - You'd rather ship what closes the deal than perfect the abstraction\n\n - You treat ambiguity as the job, not a complaint about the job\n \n \n\n\nMINIMUM QUALIFICATIONS\n\n - 2+ years building and operating production backend or distributed systems at scale\n\n - Strong server-side engineering skills in Go, Python, C++, TypeScript, or similar, and willingness to work outside your primary layer to land a feature\n\n - Experience designing APIs and data models that other teams build on, and evolving them under live traffic without breaking callers\n\n - Hands-on depth in at least one major cloud (AWS, GCP, or Azure): IAM and workload identity, KMS, object storage, and VPC networking\n\n - A track record of owning an ambiguous, cross-team workstream from requirement through production\n\n - Willingness to work directly with customers\n \n \n\n\nPREFERRED QUALIFICATIONS\n\n - Experience building for regulated enterprises — financial services, healthcare, or similar — including SOC 2 and customer security reviews\n\n - Enterprise identity and tenancy: SSO, SCIM provisioning, RBAC/ABAC, audit logging, and org modeling\n\n - Metering, quotas, or billing systems where correctness is customer-visible\n\n - Applied cryptography and key management: envelope encryption, KMS, and threat modeling\n\n - Kubernetes depth and infrastructure-as-code fluency (Terraform, GitOps)\n\n - Familiarity with LLM inference and fine-tuning — our work runs straight through the training and serving stacks, so it helps\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"04e5e023-d9cc-4785-b410-7364d4f4fe15","title":"GTM Engineer, Marketing & SDR","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-07T18:12:55.656+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/04e5e023-d9cc-4785-b410-7364d4f4fe15","applyUrl":"https://jobs.ashbyhq.com/fireworks/04e5e023-d9cc-4785-b410-7364d4f4fe15/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We’re hiring a GTM Engineer to design, operate, and continuously improve the systems powering our marketing and SDR motion. This role sits at the intersection of marketing systems architecture and field execution — ensuring HubSpot, campaign tooling, and SDR workflows are not only well designed, but actively driving pipeline for our marketing and sales teams.
You’ll work closely with marketers, SDRs, and GTM leadership to ensure our systems surface the right signals, automate the manual work, and help the funnel move faster — all in close partnership with the GTM Engineers on our RevOps side, so the stack stays one system instead of two silos.
Everything about how marketing and SDR teams engage prospects is changing — and the pace of change is faster than ever. You’re an engineer first: someone who’d rather build the automation than repeat the manual task twice. You also happen to be genuinely energized by marketing — campaigns, messaging, funnel mechanics, and how a lead actually becomes pipeline.
You architect and operate the marketing side of our GTM tech stack — ensuring tools like HubSpot, Lemlist, Clay, Harmonic, and Zapier work together seamlessly, and that data flows cleanly between them and Salesforce. You’ll design integrations, build messaging and lifecycle automations, and partner directly with marketers and SDRs to ensure the stack is actually helping them convert — improving workflows, removing friction, and making sure signals translate into action.
When SDRs struggle with tooling, campaigns break, or lifecycle stages misfire, you step in to refine the system and make it better.
Marketing Systems & Automation
Design and maintain the architecture of our marketing tech stack, ensuring HubSpot and adjacent tools operate as a cohesive system with Salesforce
Build and maintain integrations across HubSpot, Lemlist, Clay, Harmonic, and Zapier
Design lifecycle, nurture, and messaging automations that eliminate manual work and improve conversion at each funnel stage
Ensure enrichment data, engagement signals, and activity history flow cleanly between marketing and sales systems
SDR & Campaign Operations
Partner closely with SDRs and marketing leadership to ensure systems support real day-to-day outbound and campaign workflows
Design and maintain MQL → SDR → AE routing and handoff logic
Build and operate campaign infrastructure for demand gen programs (webinars, events, ABM plays) end to end
Support onboarding and training for SDRs on the tools and automations they run through daily
Data Integrity & Marketing Insights
Help maintain HubSpot as a clean, reliable system of record, in step with Salesforce as the source of truth downstream
Support the marketing data model, automation, and field governance to ensure consistent data capture
Build and maintain reporting that provides visibility into funnel performance, campaign impact, and MQL quality — reconciled jointly with the RevOps GTM Engineering team so numbers match across systems
3–5 years in Marketing Operations, Engineering, or GTM Ops with real ownership of automation (not just tool usage)
Strong, hands-on HubSpot experience — admin or architect level
Experience managing a github repo
Working fluency in Salesforce — enough to understand lead/contact/campaign objects and MQL routing logic
Experience designing SDR operational workflows: sequencing, routing, handoff logic
Comfortable with scripting, webhooks, or APIs to connect systems and build automation
Strong systems mindset — understanding how data, integrations, and workflows connect
Curious about new marketing/GTM tools and excited to experiment with AI-driven workflows
Bonus: SQL literacy for campaign/funnel reporting; experience with messaging or personalization tooling
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nWe’re hiring a GTM Engineer to design, operate, and continuously improve the systems powering our marketing and SDR motion. This role sits at the intersection of marketing systems architecture and field execution — ensuring HubSpot, campaign tooling, and SDR workflows are not only well designed, but actively driving pipeline for our marketing and sales teams.\n\nYou’ll work closely with marketers, SDRs, and GTM leadership to ensure our systems surface the right signals, automate the manual work, and help the funnel move faster — all in close partnership with the GTM Engineers on our RevOps side, so the stack stays one system instead of two silos.\n\n\nTHE ROLE\n\nEverything about how marketing and SDR teams engage prospects is changing — and the pace of change is faster than ever. You’re an engineer first: someone who’d rather build the automation than repeat the manual task twice. You also happen to be genuinely energized by marketing — campaigns, messaging, funnel mechanics, and how a lead actually becomes pipeline.\n\nYou architect and operate the marketing side of our GTM tech stack — ensuring tools like HubSpot, Lemlist, Clay, Harmonic, and Zapier work together seamlessly, and that data flows cleanly between them and Salesforce. You’ll design integrations, build messaging and lifecycle automations, and partner directly with marketers and SDRs to ensure the stack is actually helping them convert — improving workflows, removing friction, and making sure signals translate into action.\n\nWhen SDRs struggle with tooling, campaigns break, or lifecycle stages misfire, you step in to refine the system and make it better.\n\n\nWHAT YOU’LL OWN\n\nMarketing Systems & Automation\n\n - Design and maintain the architecture of our marketing tech stack, ensuring HubSpot and adjacent tools operate as a cohesive system with Salesforce\n\n - Build and maintain integrations across HubSpot, Lemlist, Clay, Harmonic, and Zapier\n\n - Design lifecycle, nurture, and messaging automations that eliminate manual work and improve conversion at each funnel stage\n\n - Ensure enrichment data, engagement signals, and activity history flow cleanly between marketing and sales systems\n\nSDR & Campaign Operations\n\n - Partner closely with SDRs and marketing leadership to ensure systems support real day-to-day outbound and campaign workflows\n\n - Design and maintain MQL → SDR → AE routing and handoff logic\n\n - Build and operate campaign infrastructure for demand gen programs (webinars, events, ABM plays) end to end\n\n - Support onboarding and training for SDRs on the tools and automations they run through daily\n\nData Integrity & Marketing Insights\n\n - Help maintain HubSpot as a clean, reliable system of record, in step with Salesforce as the source of truth downstream\n\n - Support the marketing data model, automation, and field governance to ensure consistent data capture\n\n - Build and maintain reporting that provides visibility into funnel performance, campaign impact, and MQL quality — reconciled jointly with the RevOps GTM Engineering team so numbers match across systems\n\n\nWHAT WE’RE LOOKING FOR\n\n - 3–5 years in Marketing Operations, Engineering, or GTM Ops with real ownership of automation (not just tool usage)\n\n - Strong, hands-on HubSpot experience — admin or architect level\n\n - Experience managing a github repo\n\n - Working fluency in Salesforce — enough to understand lead/contact/campaign objects and MQL routing logic\n\n - Experience designing SDR operational workflows: sequencing, routing, handoff logic\n\n - Comfortable with scripting, webhooks, or APIs to connect systems and build automation\n\n - Strong systems mindset — understanding how data, integrations, and workflows connect\n\n - Curious about new marketing/GTM tools and excited to experiment with AI-driven workflows\n\n - Bonus: SQL literacy for campaign/funnel reporting; experience with messaging or personalization tooling\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"ee35bd97-43f9-4574-8ab7-81debd5d3d1a","title":"Member of Technical Staff, Research","department":"Engineering","team":"Research","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-04T04:06:45.437+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/ee35bd97-43f9-4574-8ab7-81debd5d3d1a","applyUrl":"https://jobs.ashbyhq.com/fireworks/ee35bd97-43f9-4574-8ab7-81debd5d3d1a/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You'll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications. You'll also have the opportunity to shape how some of the world’s leading companies build and deploy AI through the models and tools you help create.
Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems
Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
Collaborate with engineering teams to transition research prototypes into production-grade systems
Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality
Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI
Research background in Artificial Intelligence, Machine Learning, Physics, or similar field
Experience solving analytical problems using analytic and quantitative approaches
Experience communicating research to audiences with different backgrounds
Experience coding in C/C++, Python, or other similar languages
PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field
Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
Experience having first-authored publications at peer-reviewed conferences or journals
Experience working with ML frameworks such as PyTorch, TensorFlow, or Jax
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nAs a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You'll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications. You'll also have the opportunity to shape how some of the world’s leading companies build and deploy AI through the models and tools you help create.\n\n\nKEY RESPONSIBILITIES\n\n - Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems\n\n - Design, implement, and evaluate novel model architectures, training methods, and optimization techniques\n\n - Collaborate with engineering teams to transition research prototypes into production-grade systems\n\n - Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality\n\n - Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI\n\n\nMINIMUM QUALIFICATIONS:\n\n - Research background in Artificial Intelligence, Machine Learning, Physics, or similar field\n\n - Experience solving analytical problems using analytic and quantitative approaches\n\n - Experience communicating research to audiences with different backgrounds\n\n - Experience coding in C/C++, Python, or other similar languages\n\n\nPREFERRED QUALIFICATIONS:\n\n - PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field\n\n - Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions\n\n - Experience having first-authored publications at peer-reviewed conferences or journals\n\n - Experience working with ML frameworks such as PyTorch, TensorFlow, or Jax\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"35fc89d0-b297-4721-8fe8-09f5c6967db4","title":"Security Operations Lead","department":"Engineering","team":"GRC","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}},{"location":"United States, Remote","address":null}],"publishedAt":"2026-08-20T00:37:27.215+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/35fc89d0-b297-4721-8fe8-09f5c6967db4","applyUrl":"https://jobs.ashbyhq.com/fireworks/35fc89d0-b297-4721-8fe8-09f5c6967db4/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About the role
We're hiring our first Security Operations Lead to build and run the SecOps function at Fireworks AI. As we scale our AI infrastructure platform globally, we're investing in a modern detection and response capability anchored on CrowdStrike (EDR and SIEM, 365-day retention), Console AI for ticketing, and Incident.io for on-call and incident management. We have a Security Incident Response Plan (SIRP) in place that you'll build on, and you'll own the function end-to-end: standing up detection content, operationalizing our incident response playbooks, running threat intel into action, and building the operational muscle that keeps Fireworks resilient as we grow. This role sits within the Security team and will primarily support Corporate Security and own incident response broadly, while partnering closely with Security Engineering on infrastructure-related incidents — bridging both areas. This is an IC-to-manager role: you’ll start hands-on building and running the function, growing into a people leader as the team scales.
What you'll do
Lead the rollout, tuning, and ongoing operation of CrowdStrike across our endpoint and cloud environment and SIEM use cases, partnering with IT and Security Engineering on deployment and coverage
Define and operate our detection and response program: build detection content, establish triage and escalation workflows, and continuously measure and improve coverage against frameworks like MITRE ATT&CK
Own incident response end-to-end: operationalize our existing SIRP into detailed playbooks, run incidents, lead post-incident reviews, and drive lessons learned into program improvements
Stand up our security operations workflow, including SOAR automation with Incident.io for alerting, on-call, and incident orchestration, while also defining how incidents self-submitted through our IT ticketing system are triaged and handled as one-off cases — along with the SLAs and metrics the function runs on
Build and operationalize a threat intelligence capability: track threats relevant to AI infrastructure and our customer base, and translate intel into detections, hardening, and tabletop scenarios
Partner closely with Infrastructure, Corporate Security, and other cross-functional teams across the organization, engaging as needed to support incidents and shared initiatives
How the role will grow
As the function matures, you'll have the opportunity to:
Hire and build the SecOps team, growing from IC to people leader
Expand 24x7 coverage and adjacent capabilities like cloud detection engineering, insider threat, or red team / purple team operations
Shape the broader security strategy as a senior leader in the function
What we're looking for
7+ years in security operations, detection and response, incident response, or a closely related field
Hands-on experience with EDR platforms (CrowdStrike strongly preferred; SentinelOne, Defender, or similar also relevant) including detection engineering and tuning
Strong detection engineering background: you've written, tested, and maintained detection content at scale and understand the tradeoffs between coverage, fidelity, and analyst load
Demonstrated incident response leadership: you've run real incidents from triage through executive communication and post-incident review
Strong scripting and automation skills (Python, SOAR platforms) applied to detection, response, and reporting workflows
Working knowledge of cloud security operations (AWS, GCP, or Azure) and the unique telemetry, attack patterns, and response considerations of cloud-native environments
Experience building or significantly maturing a SecOps function, including tooling selection, process design, and metrics
Comfort operating in a build phase: you can write the playbook and run the playbook, and you know when to invest in process versus when to just get things done
Nice to have
Experience with SIEM detection engineering at scale (CrowdStrike Falcon LogScale/NG-SIEM, Splunk, Sumo Logic, Panther, or similar)
Experience with Incident.io, PagerDuty, or comparable incident management tooling
Threat intelligence experience, including operationalizing intel into detection and hardening outcomes
Prior experience at an AI, cloud infrastructure, or high-growth SaaS company
Certifications such as GCIA, GCIH, GCFA, OSCP, or similar
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nAbout the role\n\nWe're hiring our first Security Operations Lead to build and run the SecOps function at Fireworks AI. As we scale our AI infrastructure platform globally, we're investing in a modern detection and response capability anchored on CrowdStrike (EDR and SIEM, 365-day retention), Console AI for ticketing, and Incident.io http://Incident.io for on-call and incident management. We have a Security Incident Response Plan (SIRP) in place that you'll build on, and you'll own the function end-to-end: standing up detection content, operationalizing our incident response playbooks, running threat intel into action, and building the operational muscle that keeps Fireworks resilient as we grow. This role sits within the Security team and will primarily support Corporate Security and own incident response broadly, while partnering closely with Security Engineering on infrastructure-related incidents — bridging both areas. This is an IC-to-manager role: you’ll start hands-on building and running the function, growing into a people leader as the team scales.\n\nWhat you'll do\n\n - Lead the rollout, tuning, and ongoing operation of CrowdStrike across our endpoint and cloud environment and SIEM use cases, partnering with IT and Security Engineering on deployment and coverage\n\n - Define and operate our detection and response program: build detection content, establish triage and escalation workflows, and continuously measure and improve coverage against frameworks like MITRE ATT&CK\n\n - Own incident response end-to-end: operationalize our existing SIRP into detailed playbooks, run incidents, lead post-incident reviews, and drive lessons learned into program improvements\n\n - Stand up our security operations workflow, including SOAR automation with Incident.io http://Incident.io for alerting, on-call, and incident orchestration, while also defining how incidents self-submitted through our IT ticketing system are triaged and handled as one-off cases — along with the SLAs and metrics the function runs on\n\n - Build and operationalize a threat intelligence capability: track threats relevant to AI infrastructure and our customer base, and translate intel into detections, hardening, and tabletop scenarios\n\n - Partner closely with Infrastructure, Corporate Security, and other cross-functional teams across the organization, engaging as needed to support incidents and shared initiatives\n\nHow the role will grow\n\nAs the function matures, you'll have the opportunity to:\n\n - Hire and build the SecOps team, growing from IC to people leader\n\n - Expand 24x7 coverage and adjacent capabilities like cloud detection engineering, insider threat, or red team / purple team operations\n\n - Shape the broader security strategy as a senior leader in the function\n\nWhat we're looking for\n\n - 7+ years in security operations, detection and response, incident response, or a closely related field\n\n - Hands-on experience with EDR platforms (CrowdStrike strongly preferred; SentinelOne, Defender, or similar also relevant) including detection engineering and tuning\n\n - Strong detection engineering background: you've written, tested, and maintained detection content at scale and understand the tradeoffs between coverage, fidelity, and analyst load\n\n - Demonstrated incident response leadership: you've run real incidents from triage through executive communication and post-incident review\n\n - Strong scripting and automation skills (Python, SOAR platforms) applied to detection, response, and reporting workflows\n\n - Working knowledge of cloud security operations (AWS, GCP, or Azure) and the unique telemetry, attack patterns, and response considerations of cloud-native environments\n\n - Experience building or significantly maturing a SecOps function, including tooling selection, process design, and metrics\n\n - Comfort operating in a build phase: you can write the playbook and run the playbook, and you know when to invest in process versus when to just get things done\n\nNice to have\n\n - Experience with SIEM detection engineering at scale (CrowdStrike Falcon LogScale/NG-SIEM, Splunk, Sumo Logic, Panther, or similar)\n\n - Experience with Incident.io http://Incident.io, PagerDuty, or comparable incident management tooling\n\n - Threat intelligence experience, including operationalizing intel into detection and hardening outcomes\n\n - Prior experience at an AI, cloud infrastructure, or high-growth SaaS company\n\n - Certifications such as GCIA, GCIH, GCFA, OSCP, or similar\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"17a81efc-93db-457d-b92b-996722a0f64d","title":"Product Designer ","department":"Product","team":"Product","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-13T00:12:17.655+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/17a81efc-93db-457d-b92b-996722a0f64d","applyUrl":"https://jobs.ashbyhq.com/fireworks/17a81efc-93db-457d-b92b-996722a0f64d/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for a Product Designer who's obsessed with turning complex AI infrastructure into experiences developers actually love. You'll own design end-to-end — from how developers deploy models, to how they monitor inference, to how they build AI agents on our platform.
This isn't about making things pretty. It's about making powerful things simple. You'll partner with engineers and PMs who think deeply about systems, and you'll use AI tools yourself every day to move fast and think bigger.
If you get excited about console UIs, API ergonomics, and making a developer's \"time to first inference\" feel magical — we want to talk.
Own design from zero to ship — research, prototyping, high-fidelity design, and iteration based on real usage.
Make AI infrastructure intuitive — translate complex technical workflows (model deployment, inference monitoring, agent orchestration) into clear, usable interfaces.
Build and evolve our design system — establish the visual language and component library that keeps our platform consistent as we scale.
Partner deeply with Engineering and PM — sit at the table where product decisions are made, not downstream of them.
Design with AI, not just for AI — use AI-powered design tools to accelerate your own workflow. We practice what we preach.
Simplify developer experience across the platform — from onboarding to production, every touchpoint should feel cohesive and effortless.
5+ years of product design experience, ideally in developer tools, cloud platforms, infrastructure products, or complex B2B systems.
A strong portfolio that shows you can think in systems, not just screens — we want to see how you solve hard UX problems, not just visual polish.
Figma expert with fluency in supporting tools (FigJam, Framer, Principle, or similar).
Startup-tested — you've owned product areas end-to-end and thrive with ambiguity.
Genuinely curious about AI — you use LLMs, you follow the space, you have opinions about where it's going. This isn't a checkbox; it's core to the role.
A strong communicator who can articulate design rationale to engineers, PMs, and leadership.
Experience designing for developer platforms, APIs, or cloud infrastructure (AWS, GCP, Azure, Vercel, or similar).
Familiarity with front-end development or design-to-code workflows.
Exposure to agent-driven UX patterns — how humans interact with autonomous AI systems.
An eye for turning technical constraints into design opportunities rather than limitations.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE\n\nWe're looking for a Product Designer who's obsessed with turning complex AI infrastructure into experiences developers actually love. You'll own design end-to-end — from how developers deploy models, to how they monitor inference, to how they build AI agents on our platform.\n\nThis isn't about making things pretty. It's about making powerful things simple. You'll partner with engineers and PMs who think deeply about systems, and you'll use AI tools yourself every day to move fast and think bigger.\n\nIf you get excited about console UIs, API ergonomics, and making a developer's \"time to first inference\" feel magical — we want to talk.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own design from zero to ship — research, prototyping, high-fidelity design, and iteration based on real usage.\n\n - Make AI infrastructure intuitive — translate complex technical workflows (model deployment, inference monitoring, agent orchestration) into clear, usable interfaces.\n\n - Build and evolve our design system — establish the visual language and component library that keeps our platform consistent as we scale.\n\n - Partner deeply with Engineering and PM — sit at the table where product decisions are made, not downstream of them.\n\n - Design with AI, not just for AI — use AI-powered design tools to accelerate your own workflow. We practice what we preach.\n\n - Simplify developer experience across the platform — from onboarding to production, every touchpoint should feel cohesive and effortless.\n\n\nWHO YOU ARE\n\n - 5+ years of product design experience, ideally in developer tools, cloud platforms, infrastructure products, or complex B2B systems.\n\n - A strong portfolio that shows you can think in systems, not just screens — we want to see how you solve hard UX problems, not just visual polish.\n\n - Figma expert with fluency in supporting tools (FigJam, Framer, Principle, or similar).\n\n - Startup-tested — you've owned product areas end-to-end and thrive with ambiguity.\n\n - Genuinely curious about AI — you use LLMs, you follow the space, you have opinions about where it's going. This isn't a checkbox; it's core to the role.\n\n - A strong communicator who can articulate design rationale to engineers, PMs, and leadership.\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience designing for developer platforms, APIs, or cloud infrastructure (AWS, GCP, Azure, Vercel, or similar).\n\n - Familiarity with front-end development or design-to-code workflows.\n\n - Exposure to agent-driven UX patterns — how humans interact with autonomous AI systems.\n\n - An eye for turning technical constraints into design opportunities rather than limitations.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"ff11ca2c-d95f-4802-8370-09c2cf394842","title":"Member of Technical Staff - Reliability Engineering","department":"Engineering","team":"Infrastructure","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"postalCode":"10017","addressRegion":"New York","streetAddress":"295 Madison Ave","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-08-17T16:03:26.993+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/ff11ca2c-d95f-4802-8370-09c2cf394842","applyUrl":"https://jobs.ashbyhq.com/fireworks/ff11ca2c-d95f-4802-8370-09c2cf394842/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About the Role
Fireworks AI is one of the industry leaders in inference and training for open models. Open models are how the rest of the world gets to build on frontier AI without handing the keys to a single vendor, and our job is to make them fast, cheap, and dependable enough that this is a real choice. That work is systems work: GPU scheduling, kernel and runtime performance, networking, storage, Linux. We serve over 40 trillion tokens a day doing it.
Reliability Engineering makes sure that platform runs dependably as it grows. You will work across cloud infrastructure, AI systems, and product teams to make sure the pieces fit together, fail gracefully, and hold up under load.
How We Think About Ownership
You own the bar. You define what \"reliable\" means at Fireworks: SLOs, error budgets, production readiness, on-call expectations. Then you drive adoption across engineering.
You own the process and the tooling. Incident management, postmortems, observability standards, failure testing, guardrails, and automation are yours end to end.
Every team owns the reliability of what they build. You make that ownership practical. Structured logging and aggregation, metrics and tracing that work the same way everywhere, alerting that routes to the right owner, dashboards that answer \"why is this slow.\"
You choose where the leverage is. You have a wide view of the platform and the latitude to spend your time where it changes outcomes most.
Responsibilities
Define reliability standards: SLOs, error budgets, production readiness criteria. Not written in a vacuum: you instrument the systems and read the real telemetry the numbers come from.
Own the reliability toolchain: Logging and telemetry pipelines, alerting standards, failure injection, load testing, self-healing automation, and AI-assisted investigation tooling.
Keep customer experience from falling through the cracks: Per-service reliability is necessary but not sufficient. A customer can hit a bad experience while every system sits inside its SLO. You make sure those failures get an owner and a fix.
Own the seams: The hardest failures live between systems: retries that amplify load, timeouts that do not compose, dependencies nobody mapped. You find them before customers do and drive fixes through the teams that own them.
Run incident management: Coordinate live production issues, run blameless postmortems, and track follow-ups to completion.
Reduce toil: Automate repetitive operational work so growth does not turn into an unsustainable on-call load.
Partner across the org: Cloud infrastructure on capacity and multi-region risk, inference and training on failure modes in the serving and training stacks, performance on zero-downtime rollouts, product and control plane on customer-facing reliability.
Qualifications
Systems fundamentals: 5+ years with Linux internals, system performance troubleshooting, and networking fundamentals (TCP/IP, HTTP, gRPC).
Software engineering: 5+ years in Python, Go, C++, or Rust, writing production-grade tools and systems code.
Cloud-native operations: Operating and debugging Kubernetes, Terraform, and Docker in high-throughput production.
Distributed systems: High-throughput control planes, microservices, or multi-region setups.
Reliability fundamentals: Fault-tolerant design, SLO/SLA management, automated failover, high-availability architecture.
Influence without authority: You can get other teams to adopt a standard through credibility and useful tooling rather than mandate.
Breadth over comfort: Willingness to dig into unfamiliar parts of the stack when a problem crosses boundaries.
Education: Bachelor's or Master's in Computer Science, Computer Engineering, or equivalent practical experience.
Preferred Qualifications
Observability tooling: Prometheus, Grafana, OpenTelemetry, and alerting people actually act on.
GPU and ML infrastructure exposure: GPUs, inference serving, or distributed training.
AI-assisted operations: Building agents or LLM-based tooling for investigation, triage, or automation.
Open source background: Contributions to infrastructure, systems, or ML serving projects.
Startup agility: Comfortable where pragmatism and teamwork matter more than process.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nAbout the Role\n\nFireworks AI is one of the industry leaders in inference and training for open models. Open models are how the rest of the world gets to build on frontier AI without handing the keys to a single vendor, and our job is to make them fast, cheap, and dependable enough that this is a real choice. That work is systems work: GPU scheduling, kernel and runtime performance, networking, storage, Linux. We serve over 40 trillion tokens a day doing it.\n\nReliability Engineering makes sure that platform runs dependably as it grows. You will work across cloud infrastructure, AI systems, and product teams to make sure the pieces fit together, fail gracefully, and hold up under load.\n\nHow We Think About Ownership\n\n - You own the bar. You define what \"reliable\" means at Fireworks: SLOs, error budgets, production readiness, on-call expectations. Then you drive adoption across engineering.\n\n - You own the process and the tooling. Incident management, postmortems, observability standards, failure testing, guardrails, and automation are yours end to end.\n\n - Every team owns the reliability of what they build. You make that ownership practical. Structured logging and aggregation, metrics and tracing that work the same way everywhere, alerting that routes to the right owner, dashboards that answer \"why is this slow.\"\n\n - You choose where the leverage is. You have a wide view of the platform and the latitude to spend your time where it changes outcomes most.\n\nResponsibilities\n\n - Define reliability standards: SLOs, error budgets, production readiness criteria. Not written in a vacuum: you instrument the systems and read the real telemetry the numbers come from.\n\n - Own the reliability toolchain: Logging and telemetry pipelines, alerting standards, failure injection, load testing, self-healing automation, and AI-assisted investigation tooling.\n\n - Keep customer experience from falling through the cracks: Per-service reliability is necessary but not sufficient. A customer can hit a bad experience while every system sits inside its SLO. You make sure those failures get an owner and a fix.\n\n - Own the seams: The hardest failures live between systems: retries that amplify load, timeouts that do not compose, dependencies nobody mapped. You find them before customers do and drive fixes through the teams that own them.\n\n - Run incident management: Coordinate live production issues, run blameless postmortems, and track follow-ups to completion.\n\n - Reduce toil: Automate repetitive operational work so growth does not turn into an unsustainable on-call load.\n\n - Partner across the org: Cloud infrastructure on capacity and multi-region risk, inference and training on failure modes in the serving and training stacks, performance on zero-downtime rollouts, product and control plane on customer-facing reliability.\n\nQualifications\n\n - Systems fundamentals: 5+ years with Linux internals, system performance troubleshooting, and networking fundamentals (TCP/IP, HTTP, gRPC).\n\n - Software engineering: 5+ years in Python, Go, C++, or Rust, writing production-grade tools and systems code.\n\n - Cloud-native operations: Operating and debugging Kubernetes, Terraform, and Docker in high-throughput production.\n\n - Distributed systems: High-throughput control planes, microservices, or multi-region setups.\n\n - Reliability fundamentals: Fault-tolerant design, SLO/SLA management, automated failover, high-availability architecture.\n\n - Influence without authority: You can get other teams to adopt a standard through credibility and useful tooling rather than mandate.\n\n - Breadth over comfort: Willingness to dig into unfamiliar parts of the stack when a problem crosses boundaries.\n\n - Education: Bachelor's or Master's in Computer Science, Computer Engineering, or equivalent practical experience.\n\nPreferred Qualifications\n\n - Observability tooling: Prometheus, Grafana, OpenTelemetry, and alerting people actually act on.\n\n - GPU and ML infrastructure exposure: GPUs, inference serving, or distributed training.\n\n - AI-assisted operations: Building agents or LLM-based tooling for investigation, triage, or automation.\n\n - Open source background: Contributions to infrastructure, systems, or ML serving projects.\n\n - Startup agility: Comfortable where pragmatism and teamwork matter more than process.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"08c095a0-2f02-4078-938f-374394040b0e","title":"Partnerships Lead","department":"Partnerships","team":"Partnerships","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-14T06:21:36.106+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/08c095a0-2f02-4078-938f-374394040b0e","applyUrl":"https://jobs.ashbyhq.com/fireworks/08c095a0-2f02-4078-938f-374394040b0e/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're hiring a high-ownership sales operator to drive sourced pipeline and revenue through the Microsoft Azure channel.
This is a quota-carrying, field-facing role. You'll map Microsoft's ISV and enterprise field org, activate co-sell motions with the right PDMs and AEs, and build the repeatable sales plays that move customers to Fireworks AI through Azure Foundry. You'll own the forecast and the number.
The playbook doesn't fully exist yet. You'll have real influence over how we engage Microsoft's field teams, what good looks like for partner-sourced pipeline, and how we build a co-sell motion that scales across ISV and enterprise segments. If you thrive when you're creating from scratch and can hold yourself accountable to a number while doing it, this is the role.
Pipeline and revenue
Source and own a pipeline target through the Microsoft Azure channel
Co-sell qualified opportunities with Microsoft ISV and enterprise AEs and PDMs
Run weekly forecasting cadences with accurate CRM hygiene and clear escalation visibility
Team mapping and stakeholder management
Build and maintain a living map of Microsoft's field org across ISV and enterprise-facing teams - who owns which accounts, who moves deals, who has co-sell budget
Develop working relationships with PDMs, field AEs, and ISV partner managers at Microsoft
Serve as Fireworks AI's primary point of contact for joint business reviews, pipeline reviews, and co-sell coordination
Sales plays and enablement
Develop sales plays tailored to the ISV and enterprise motion - positioning Fireworks AI's inference platform against the decision criteria that matter in each segment
Build and deliver enablement for Microsoft field sellers on Fireworks AI: clear, crisp positioning they can use in front of customers without a technical translator
Design the intake, escalation, and co-sell workflows that keep deals from stalling
Joint planning and operations
Own joint business planning with Microsoft counterparts: territory plans, account maps, co-sell targets, and QBR cadences
Coordinate co-marketing moments (joint events, solution briefs, field plays) that generate ISV and enterprise pipeline
Surface field intelligence from Microsoft conversations back to Fireworks AI's product and GTM teams
Have 7+ years in GTM, partnerships, or field sales at a technology company - and a track record of operating fast when the environment changes
Know how Microsoft's field org actually works: account teams, SSPs, GBBs, marketplace mechanics, co-sell programs, MACC spend, partner incentives - and how to activate them at the deal level
Build systems, not just run plays. You document the motion, create the playbooks, and make it repeatable
Are comfortable owning a number before all the conditions are perfect, and stay accountable on pipeline sourcing, progression, forecasting
Can communicate clearly and concisely - you translate complex platform capabilities into a value story a non-technical field seller can use in front of a customer
Hold yourself accountable to pipeline hygiene and forecast accuracy - not just relationship depth
This is not an engineering role. But it requires genuine curiosity about how AI inference platforms work.
You'll need working fluency in model serving, inference optimization, and AI training infrastructure - enough to speak credibly about why Fireworks AI's platform matters to ISVs and enterprises evaluating options in the market. If you don't have that fluency today, you can build it here - we'll help. What you can't be is someone who deflects every technical question or can't hold a credible 30-minute conversation with a solutions architect or a technical evaluator.
The through-line: you need to understand what we do well enough to translate it for someone who doesn't. That's the bar.
Experience working at or within a hyperscaler partner ecosystem (Microsoft, AWS, GCP)
Experience selling or partnering in AI/ML infrastructure, model serving, or MLOps
Experience working with ISVs at the platform layer - understanding their build-vs-buy decisions and procurement dynamics
Non-linear career path - varied, scrappy backgrounds carry real weight here
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe're hiring a high-ownership sales operator to drive sourced pipeline and revenue through the Microsoft Azure channel.\n\nThis is a quota-carrying, field-facing role. You'll map Microsoft's ISV and enterprise field org, activate co-sell motions with the right PDMs and AEs, and build the repeatable sales plays that move customers to Fireworks AI through Azure Foundry. You'll own the forecast and the number.\n\nThe playbook doesn't fully exist yet. You'll have real influence over how we engage Microsoft's field teams, what good looks like for partner-sourced pipeline, and how we build a co-sell motion that scales across ISV and enterprise segments. If you thrive when you're creating from scratch and can hold yourself accountable to a number while doing it, this is the role.\n\n\n\n\nWHAT YOU'LL OWN\n\nPipeline and revenue\n\n - Source and own a pipeline target through the Microsoft Azure channel\n\n - Co-sell qualified opportunities with Microsoft ISV and enterprise AEs and PDMs\n\n - Run weekly forecasting cadences with accurate CRM hygiene and clear escalation visibility\n\nTeam mapping and stakeholder management\n\n - Build and maintain a living map of Microsoft's field org across ISV and enterprise-facing teams - who owns which accounts, who moves deals, who has co-sell budget\n\n - Develop working relationships with PDMs, field AEs, and ISV partner managers at Microsoft\n\n - Serve as Fireworks AI's primary point of contact for joint business reviews, pipeline reviews, and co-sell coordination\n\nSales plays and enablement\n\n - Develop sales plays tailored to the ISV and enterprise motion - positioning Fireworks AI's inference platform against the decision criteria that matter in each segment\n\n - Build and deliver enablement for Microsoft field sellers on Fireworks AI: clear, crisp positioning they can use in front of customers without a technical translator\n\n - Design the intake, escalation, and co-sell workflows that keep deals from stalling\n\nJoint planning and operations\n\n - Own joint business planning with Microsoft counterparts: territory plans, account maps, co-sell targets, and QBR cadences\n\n - Coordinate co-marketing moments (joint events, solution briefs, field plays) that generate ISV and enterprise pipeline\n\n - Surface field intelligence from Microsoft conversations back to Fireworks AI's product and GTM teams\n\n\nYOU'RE A GOOD FIT IF YOU\n\n - Have 7+ years in GTM, partnerships, or field sales at a technology company - and a track record of operating fast when the environment changes\n\n - Know how Microsoft's field org actually works: account teams, SSPs, GBBs, marketplace mechanics, co-sell programs, MACC spend, partner incentives - and how to activate them at the deal level\n\n - Build systems, not just run plays. You document the motion, create the playbooks, and make it repeatable\n\n - Are comfortable owning a number before all the conditions are perfect, and stay accountable on pipeline sourcing, progression, forecasting\n\n - Can communicate clearly and concisely - you translate complex platform capabilities into a value story a non-technical field seller can use in front of a customer\n\n - Hold yourself accountable to pipeline hygiene and forecast accuracy - not just relationship depth\n\n\nTHE TECHNICAL BAR\n\nThis is not an engineering role. But it requires genuine curiosity about how AI inference platforms work.\n\nYou'll need working fluency in model serving, inference optimization, and AI training infrastructure - enough to speak credibly about why Fireworks AI's platform matters to ISVs and enterprises evaluating options in the market. If you don't have that fluency today, you can build it here - we'll help. What you can't be is someone who deflects every technical question or can't hold a credible 30-minute conversation with a solutions architect or a technical evaluator.\n\nThe through-line: you need to understand what we do well enough to translate it for someone who doesn't. That's the bar.\n\n\n\n\nNICE TO HAVE\n\n - Experience working at or within a hyperscaler partner ecosystem (Microsoft, AWS, GCP)\n\n - Experience selling or partnering in AI/ML infrastructure, model serving, or MLOps\n\n - Experience working with ISVs at the platform layer - understanding their build-vs-buy decisions and procurement dynamics\n\n - Non-linear career path - varied, scrappy backgrounds carry real weight here\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"1c4bd96f-108a-4217-a30d-f110ce54bb46","title":"AI Native Sales Manager","department":"Sales","team":"Sales","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2026-08-14T06:25:34.328+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/1c4bd96f-108a-4217-a30d-f110ce54bb46","applyUrl":"https://jobs.ashbyhq.com/fireworks/1c4bd96f-108a-4217-a30d-f110ce54bb46/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We're looking for an AI Native Sales Manager to build, coach, and scale the team selling into the most ambitious GenAI-native companies in the world. This person will lead a team of AI Native Account Executives, own new business and expansion across a portfolio of GenAI startups, and build the repeatable playbooks that turn early technical traction into production-scale revenue.
Fireworks is past $1B ARR and trusted by GenAI-native companies like Cursor, Vercel, and Genspark. The AI Native segment moves faster than any other part of our business — founders evaluate in days, workloads scale in weeks, and the buyer is almost always technical. This is a hands-on leadership role for someone who can both set strategy and get in the deal. You'll be expected to raise the bar on technical credibility, discovery rigor, usage growth, and forecast accuracy, while creating an environment where AEs learn quickly and grow into future GTM leaders.
Lead, coach, and develop a team of AI Native Account Executives selling into GenAI-native startups.
Own team performance against new logo, consumption growth, pipeline, and forecast accuracy goals.
Build and refine the AI Native sales motion - from first technical conversation through evaluation, benchmarking, POC, and production scale.
Coach AEs to lead credible technical conversations with founders, ML engineers, and infra leads, and to earn trust with both engineers and founders.
Partner with GTM engineering, product, and applied AI to unblock adoption, shape tailored solutions, and accelerate time to value in your team's accounts.
Partner with Sales Development, Marketing, and RevOps on target accounts, territories, qualification standards, inbound routing, and funnel conversion.
Establish clear operating rhythms, including pipeline reviews, deal reviews, call reviews, coaching sessions, and weekly forecast inspection.
Use usage and account health data to identify expansion opportunities, diagnose churn or stalled adoption, and prioritize the highest-impact accounts.
Translate patterns across the segment into actionable product and roadmap feedback.
Hire, onboard, and ramp new AEs as the team scales.
Represent Fireworks in the GenAI ecosystem - demo days, meetups, and online communities - and build the team's presence there.
Create a culture of accountability, curiosity, technical depth, and continuous improvement.
5+ years of experience in sales or business development selling to technical buyers, with experience managing or formally coaching quota-carrying AEs.
Proven ability to win and grow accounts in a technical, infrastructure, AI, or developer-oriented market - especially consumption or usage-based models.
Strong coaching skills, especially around technical discovery, multi-threading, POC and evaluation management, negotiation, and executive communication.
Comfort operating in an early-stage or high-growth environment where playbooks are still being built.
Ability to understand and explain technical topics like open-source inference, API performance, model tuning, or GPU architecture - and to hold your own with a founder or ML lead.
Strong analytical orientation and ability to use pipeline and consumption metrics to diagnose performance and improve team execution.
Excellent written and verbal communication skills.
High standards for talent, process, and operational rigor.
Ability to partner cross-functionally with Product, Engineering, Applied ML, Marketing, RevOps, and Recruiting.
Genuine enthusiasm for working with startup founders and builders on the front lines of the GenAI movement.
Experience selling into engineering leaders, product leaders, founders, or AI/ML teams.
Experience supporting AI-native, developer-tooling, data infrastructure, cloud, or open-source GTM motions.
Prior experience building a sales team or segment from an early stage.
Background in a technical or product role before moving into sales leadership.
Familiarity with tools such as Salesforce, Gong, Lemlist, LinkedIn Sales Navigator, Clay, or similar revenue platforms.
The team consistently lands and grows GenAI-native accounts aligned to Fireworks' priority segments.
AEs are technically credible, run rigorous evaluations and POCs, and shorten time from first conversation to production workload.
Consumption in existing accounts grows predictably, with expansion identified from usage data rather than guesswork.
Forecasts are accurate, pipeline is well-inspected, and the operating rhythm is clear to everyone on the team.
New AEs ramp quickly and understand both the technical context and commercial value of Fireworks.
Feedback from the segment reliably reaches product and engineering and shapes what we build.
San Mateo, CA / San Francisco, CA
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe're looking for an AI Native Sales Manager to build, coach, and scale the team selling into the most ambitious GenAI-native companies in the world. This person will lead a team of AI Native Account Executives, own new business and expansion across a portfolio of GenAI startups, and build the repeatable playbooks that turn early technical traction into production-scale revenue.\n\n\n\nFireworks is past $1B ARR and trusted by GenAI-native companies like Cursor, Vercel, and Genspark. The AI Native segment moves faster than any other part of our business — founders evaluate in days, workloads scale in weeks, and the buyer is almost always technical. This is a hands-on leadership role for someone who can both set strategy and get in the deal. You'll be expected to raise the bar on technical credibility, discovery rigor, usage growth, and forecast accuracy, while creating an environment where AEs learn quickly and grow into future GTM leaders.\n\n\nWHAT YOU’LL DO\n\n - Lead, coach, and develop a team of AI Native Account Executives selling into GenAI-native startups.\n\n - Own team performance against new logo, consumption growth, pipeline, and forecast accuracy goals.\n\n - Build and refine the AI Native sales motion - from first technical conversation through evaluation, benchmarking, POC, and production scale.\n\n - Coach AEs to lead credible technical conversations with founders, ML engineers, and infra leads, and to earn trust with both engineers and founders.\n\n - Partner with GTM engineering, product, and applied AI to unblock adoption, shape tailored solutions, and accelerate time to value in your team's accounts.\n\n - Partner with Sales Development, Marketing, and RevOps on target accounts, territories, qualification standards, inbound routing, and funnel conversion.\n\n - Establish clear operating rhythms, including pipeline reviews, deal reviews, call reviews, coaching sessions, and weekly forecast inspection.\n\n - Use usage and account health data to identify expansion opportunities, diagnose churn or stalled adoption, and prioritize the highest-impact accounts.\n\n - Translate patterns across the segment into actionable product and roadmap feedback.\n\n - Hire, onboard, and ramp new AEs as the team scales.\n\n - Represent Fireworks in the GenAI ecosystem - demo days, meetups, and online communities - and build the team's presence there.\n\n - Create a culture of accountability, curiosity, technical depth, and continuous improvement.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 5+ years of experience in sales or business development selling to technical buyers, with experience managing or formally coaching quota-carrying AEs.\n\n - Proven ability to win and grow accounts in a technical, infrastructure, AI, or developer-oriented market - especially consumption or usage-based models.\n\n - Strong coaching skills, especially around technical discovery, multi-threading, POC and evaluation management, negotiation, and executive communication.\n\n - Comfort operating in an early-stage or high-growth environment where playbooks are still being built.\n\n - Ability to understand and explain technical topics like open-source inference, API performance, model tuning, or GPU architecture - and to hold your own with a founder or ML lead.\n\n - Strong analytical orientation and ability to use pipeline and consumption metrics to diagnose performance and improve team execution.\n\n - Excellent written and verbal communication skills.\n\n - High standards for talent, process, and operational rigor.\n\n - Ability to partner cross-functionally with Product, Engineering, Applied ML, Marketing, RevOps, and Recruiting.\n\n - Genuine enthusiasm for working with startup founders and builders on the front lines of the GenAI movement.\n\n\nNICE TO HAVE\n\n - Experience selling into engineering leaders, product leaders, founders, or AI/ML teams.\n\n - Experience supporting AI-native, developer-tooling, data infrastructure, cloud, or open-source GTM motions.\n\n - Prior experience building a sales team or segment from an early stage.\n\n - Background in a technical or product role before moving into sales leadership.\n\n - \n\n - Familiarity with tools such as Salesforce, Gong, Lemlist, LinkedIn Sales Navigator, Clay, or similar revenue platforms.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - The team consistently lands and grows GenAI-native accounts aligned to Fireworks' priority segments.\n\n - AEs are technically credible, run rigorous evaluations and POCs, and shorten time from first conversation to production workload.\n\n - Consumption in existing accounts grows predictably, with expansion identified from usage data rather than guesswork.\n\n - Forecasts are accurate, pipeline is well-inspected, and the operating rhythm is clear to everyone on the team.\n\n - New AEs ramp quickly and understand both the technical context and commercial value of Fireworks.\n\n - Feedback from the segment reliably reaches product and engineering and shapes what we build.\n\n\nLOCATION\n\nSan Mateo, CA / San Francisco, CA\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"d2475828-01b1-4c21-bee9-9aebd009156b","title":"Recruiting Coordinator [Contract] ","department":"People","team":"People","employmentType":"Contract","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-20T01:21:54.936+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/d2475828-01b1-4c21-bee9-9aebd009156b","applyUrl":"https://jobs.ashbyhq.com/fireworks/d2475828-01b1-4c21-bee9-9aebd009156b/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We’re looking for a highly organized, detail-oriented Recruiting Coordinator who will take full ownership of our end-to-end interview coordination and play a critical role in keeping our recruiting engine running smoothly as we scale. This role is perfect for someone who thrives in fast-paced environments, is exceptionally proactive in communication, and takes pride in delivering an outstanding candidate experience while ensuring operational excellence behind the scenes.
Key Responsibilities
Own end-to-end interview scheduling for all roles, including technical rounds and take-home assignments.
Serve as the primary candidate point of contact with clear, timely communication.
Lead onsite interview logistics, including room setup, interviewer prep, and candidate hosting.
Monitor communication from candidates and interviewers and act quickly to keep processes moving.
Maintain accurate ATS data, including status updates, tagging, documentation, and requisition cleanup.
Support compliance, data accuracy, and consistent record keeping.
Create and update process guides, checklists, and templates.
Partner with recruiters to streamline workflows and improve recruiting operations.
Assist with logistics, materials, and follow-ups for recruiting events.
Collaborate with hiring managers and interviewers to ensure alignment and readiness.
Support additional recruiting and people operations tasks as needed in a fast-paced environment.
Extreme ownership mindset — full responsibility for schedules, communications, and outcomes
High responsiveness and urgency — you act immediately on scheduling needs; deadlines are “now/asap”
Strong attention to detail
Clear, confident communicator who can coordinate across candidates, recruiters, and hiring teams
Comfort in fast-changing environments with multiple priorities in motion
Proactive problem-solver who anticipates issues before they occur
2 years of experience with scheduling tools, calendar management, or ATS systems (Ashby preferred)
Experience supporting technical recruiting processes and familiarity with common technical interview formats (coding exercises, take-home challenges, technical screens, and system design rounds).
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE\n\nWe’re looking for a highly organized, detail-oriented Recruiting Coordinator who will take full ownership of our end-to-end interview coordination and play a critical role in keeping our recruiting engine running smoothly as we scale. This role is perfect for someone who thrives in fast-paced environments, is exceptionally proactive in communication, and takes pride in delivering an outstanding candidate experience while ensuring operational excellence behind the scenes.\n\nKey Responsibilities\n\n - Own end-to-end interview scheduling for all roles, including technical rounds and take-home assignments.\n\n - Serve as the primary candidate point of contact with clear, timely communication.\n\n - Lead onsite interview logistics, including room setup, interviewer prep, and candidate hosting.\n\n - Monitor communication from candidates and interviewers and act quickly to keep processes moving.\n\n - Maintain accurate ATS data, including status updates, tagging, documentation, and requisition cleanup.\n\n - Support compliance, data accuracy, and consistent record keeping.\n\n - Create and update process guides, checklists, and templates.\n\n - Partner with recruiters to streamline workflows and improve recruiting operations.\n\n - Assist with logistics, materials, and follow-ups for recruiting events.\n\n - Collaborate with hiring managers and interviewers to ensure alignment and readiness.\n\n - Support additional recruiting and people operations tasks as needed in a fast-paced environment.\n\n\nPREFERRED ATTRIBUTES \n\n - Extreme ownership mindset — full responsibility for schedules, communications, and outcomes\n\n - High responsiveness and urgency — you act immediately on scheduling needs; deadlines are “now/asap”\n\n - Strong attention to detail \n\n - Clear, confident communicator who can coordinate across candidates, recruiters, and hiring teams\n\n - Comfort in fast-changing environments with multiple priorities in motion\n\n - Proactive problem-solver who anticipates issues before they occur\n\n\nPREFERRED QUALIFICATIONS:\n\n - 2 years of experience with scheduling tools, calendar management, or ATS systems (Ashby preferred) \n\n - Experience supporting technical recruiting processes and familiarity with common technical interview formats (coding exercises, take-home challenges, technical screens, and system design rounds).\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"17394579-2c5f-4b43-91cb-e531700b8a26","title":"Product Manager, Training","department":"Product","team":"Product Management","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-19T19:12:29.154+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/17394579-2c5f-4b43-91cb-e531700b8a26","applyUrl":"https://jobs.ashbyhq.com/fireworks/17394579-2c5f-4b43-91cb-e531700b8a26/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Fireworks is building specialized intelligence to enable companies to own their AI with frontier-beating quality and efficiency. Training is at the core of how they get there. As a PM working on training, you’ll help set strategy, write specs, sit with customers running real tuning jobs, and work across our training, research, and inference teams to deliver real customer impact. Example problems you may work on include determining how to grow our self-serve training usage or making training easier and faster for our enterprise users.
KEY RESPONSIBILITIES:
Own the roadmap, strategy, and success metrics for parts of the Fireworks training product, across API, UI, and CLI.
Work directly with AI-native startups and enterprises running real training workloads — watch them work, unblock them whey they stall, and convert repeated pain into productized capability.
Turn the bespoke work our forward-deployed and applied ML teams do for top accounts into scalable, self-serve product.
Partner with product marketing, sales, and the field to launch training capabilities that land — pricing and packaging, docs, cookbooks, and enablement included.
2 – 8+ years of product management experience building technical or developer-facing products (we are hiring at multiple levels for this role).
Strong technical background — CS/EE degree, production engineering experience, or equivalent depth earned on the job.
Familiarity with the post-training lifecycle: dataset curation, SFT, LoRA/PEFT, RL-based methods, evaluation, and how these connect to inference in production.
Demonstrated ownership of a product area end to end from strategy, spec, launch, to metrics.
Excellent written communication. You can write a spec, a launch post, and a customer-facing explanation of a tradeoff, and all three will be clear.
Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty.
Deep hunger and motivation. This isn't a 9-5 job and you'll be expected to step up, especially during periods of \"wartime.\"
You've personally fine-tuned models and shipped the result into something real.
Experience with ML platform, MLOps, or AI infrastructure products — training platforms, eval tooling, or model registries.
Familiarity with reinforcement fine-tuning specifics: reward modeling, rollout environments, and agent-training workflows.
Understanding of GPU economics and how training cost, throughput, and quality trade off against each other.
Open-source or developer-community experience — you know what makes an SDK or API feel good to use.
Early startup or founding experience.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\nFireworks is building specialized intelligence to enable companies to own their AI with frontier-beating quality and efficiency. Training is at the core of how they get there. As a PM working on training, you’ll help set strategy, write specs, sit with customers running real tuning jobs, and work across our training, research, and inference teams to deliver real customer impact. Example problems you may work on include determining how to grow our self-serve training usage or making training easier and faster for our enterprise users.\n\n KEY RESPONSIBILITIES:\n\n - Own the roadmap, strategy, and success metrics for parts of the Fireworks training product, across API, UI, and CLI.\n\n - Work directly with AI-native startups and enterprises running real training workloads — watch them work, unblock them whey they stall, and convert repeated pain into productized capability.\n\n - Turn the bespoke work our forward-deployed and applied ML teams do for top accounts into scalable, self-serve product.\n\n - Partner with product marketing, sales, and the field to launch training capabilities that land — pricing and packaging, docs, cookbooks, and enablement included.\n\n\nMINIMUM REQUIREMENTS:\n\n - 2 – 8+ years of product management experience building technical or developer-facing products (we are hiring at multiple levels for this role).\n\n - Strong technical background — CS/EE degree, production engineering experience, or equivalent depth earned on the job.\n\n - Familiarity with the post-training lifecycle: dataset curation, SFT, LoRA/PEFT, RL-based methods, evaluation, and how these connect to inference in production.\n\n - Demonstrated ownership of a product area end to end from strategy, spec, launch, to metrics.\n\n - Excellent written communication. You can write a spec, a launch post, and a customer-facing explanation of a tradeoff, and all three will be clear.\n\n - Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty.\n\n - Deep hunger and motivation. This isn't a 9-5 job and you'll be expected to step up, especially during periods of \"wartime.\"\n\n\nPREFERRED QUALIFICATIONS:\n\n - You've personally fine-tuned models and shipped the result into something real.\n\n - Experience with ML platform, MLOps, or AI infrastructure products — training platforms, eval tooling, or model registries.\n\n - Familiarity with reinforcement fine-tuning specifics: reward modeling, rollout environments, and agent-training workflows.\n\n - Understanding of GPU economics and how training cost, throughput, and quality trade off against each other.\n\n - Open-source or developer-community experience — you know what makes an SDK or API feel good to use.\n\n - Early startup or founding experience.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"e172e100-1ba5-4fc8-b3e0-d80dd66aac70","title":"GRC Analyst","department":"Engineering","team":"GRC","employmentType":"FullTime","location":"San Mateo","secondaryLocations":[],"publishedAt":"2026-08-21T23:33:20.564+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"postalCode":"94402","addressRegion":"California","streetAddress":"900 Concar Dr 5th Floor","addressCountry":"United States","addressLocality":"San Mateo"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/e172e100-1ba5-4fc8-b3e0-d80dd66aac70","applyUrl":"https://jobs.ashbyhq.com/fireworks/e172e100-1ba5-4fc8-b3e0-d80dd66aac70/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About the role
We're looking for a GRC Analyst to join our security and compliance team. You'll help us mature our compliance program across frameworks like SOC 2, HIPAA, ISO 27001, ISO 27701, ISO 42001, and GDPR - supporting audits, managing risk, and partnering with engineering and operations teams to keep our controls effective as we scale. From day one you'll get hands-on with core operational areas of our program, including user access reviews, our security awareness program through the Adaptive Security platform, and third-party risk management, with clear room to grow into broader ownership, audit leadership, and program strategy over time. This is a great fit for someone with solid working experience in security or compliance who's looking to build hands-on ownership and deepen their skill set in a fast-moving SaaS environment.
What you'll do
Support day-to-day GRC operations including (but not limited to) user access reviews and certifications, security awareness and phishing/deepfake simulation facilitation, JML tracking, and triage of policy and control exceptions.
Support the risk management program help perform annual and ad-hoc risk assessments, maintain the risk register, partner with risk owners on remediation, and track issues through to closure.
Support third-party risk management run vendor and subprocessor risk assessments, conduct ongoing monitoring, and track remediation across our critical vendors.
Execute internal audits using established test procedures to test control effectiveness, and support external audit cycles by coordinating evidence, control owners, and remediation.
Help maintain continuous control monitoring and evidence automation support administration of our GRC platform, keep automated control tests and evidence healthy, and help maintain audit readiness year-round rather than point-in-time.
Build relationships with cross-functional partners across engineering, IT, operations, legal, and sales - meeting teams where they are rather than gatekeeping.
Partner with control owners to help them understand their control responsibilities and expectations, prepare for audits, and operationalize controls rather than treat compliance as a checkbox.
Help keep the policy library current support reviews and updates to security policies, standards, and procedures so they stay practical and aligned to the frameworks we operate under.
Turn program data into insights help translate access review, awareness, and risk findings into insights and metrics that flag high-risk users, teams, or behaviors, and support reporting to leadership.
Take on additional GRC projects as the program evolves; we're a growing team and priorities shift.
How the role will grow
As you build context on our environment and program, you'll take on broader ownership and move toward more senior scope:
Greater ownership of core programs move from supporting established processes to owning entire workstreams (user access reviews, security awareness, third-party risk) end-to-end.
Audit leadership progress from executing established test procedures to helping design new ones, scoping audits, and coordinating auditors directly.
Program and control maturity contribute to control improvement and automation initiatives that raise the bar on how efficiently we run the program as we scale.
Growing influence as you build expertise, you'll have opportunities to mentor newer team members and represent GRC in cross-functional projects.
What we're looking for
3-5 years of experience in GRC, IT audit, information security, or a closely related field
Working knowledge of major security and privacy frameworks such as SOC 2, ISO 27001/27701/42001, NIST CSF, HIPAA, GDPR, or CCPA
Experience with GRC platforms (Anecdotes, Vanta, Drata, Secureframe, OneTrust, ServiceNow GRC)
Experience running user access reviews and a solid understanding of identity and access management concepts (RBAC, least privilege, segregation of duties, JML processes)
Hands-on experience administering a security awareness or phishing simulation platform (Adaptive Security, KnowBe4, Hoxhunt, Proofpoint, or similar)
Comfort with cloud environments (AWS, GCP, or Azure) and how SaaS products are built and operated
Strong written communication; you can translate control requirements and security concepts into language engineers, customers, and non-technical employees understand
Detail-oriented and organized, with the ability to juggle multiple audits, campaigns, and deadlines
A collaborative mindset; you enjoy working across teams rather than gatekeeping
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\nAbout the role\n\nWe're looking for a GRC Analyst to join our security and compliance team. You'll help us mature our compliance program across frameworks like SOC 2, HIPAA, ISO 27001, ISO 27701, ISO 42001, and GDPR - supporting audits, managing risk, and partnering with engineering and operations teams to keep our controls effective as we scale. From day one you'll get hands-on with core operational areas of our program, including user access reviews, our security awareness program through the Adaptive Security platform, and third-party risk management, with clear room to grow into broader ownership, audit leadership, and program strategy over time. This is a great fit for someone with solid working experience in security or compliance who's looking to build hands-on ownership and deepen their skill set in a fast-moving SaaS environment.\n\n\n\nWhat you'll do\n\n - Support day-to-day GRC operations including (but not limited to) user access reviews and certifications, security awareness and phishing/deepfake simulation facilitation, JML tracking, and triage of policy and control exceptions.\n\n - Support the risk management program help perform annual and ad-hoc risk assessments, maintain the risk register, partner with risk owners on remediation, and track issues through to closure.\n\n - Support third-party risk management run vendor and subprocessor risk assessments, conduct ongoing monitoring, and track remediation across our critical vendors.\n\n - Execute internal audits using established test procedures to test control effectiveness, and support external audit cycles by coordinating evidence, control owners, and remediation.\n\n - Help maintain continuous control monitoring and evidence automation support administration of our GRC platform, keep automated control tests and evidence healthy, and help maintain audit readiness year-round rather than point-in-time.\n\n - Build relationships with cross-functional partners across engineering, IT, operations, legal, and sales - meeting teams where they are rather than gatekeeping.\n\n - Partner with control owners to help them understand their control responsibilities and expectations, prepare for audits, and operationalize controls rather than treat compliance as a checkbox.\n\n - Help keep the policy library current support reviews and updates to security policies, standards, and procedures so they stay practical and aligned to the frameworks we operate under.\n\n - Turn program data into insights help translate access review, awareness, and risk findings into insights and metrics that flag high-risk users, teams, or behaviors, and support reporting to leadership.\n\n - Take on additional GRC projects as the program evolves; we're a growing team and priorities shift.\n\n\n\nHow the role will grow\n\nAs you build context on our environment and program, you'll take on broader ownership and move toward more senior scope:\n\n - Greater ownership of core programs move from supporting established processes to owning entire workstreams (user access reviews, security awareness, third-party risk) end-to-end.\n\n - Audit leadership progress from executing established test procedures to helping design new ones, scoping audits, and coordinating auditors directly.\n\n - Program and control maturity contribute to control improvement and automation initiatives that raise the bar on how efficiently we run the program as we scale.\n\n - Growing influence as you build expertise, you'll have opportunities to mentor newer team members and represent GRC in cross-functional projects.\n\n\n\nWhat we're looking for\n\n - 3-5 years of experience in GRC, IT audit, information security, or a closely related field\n\n - Working knowledge of major security and privacy frameworks such as SOC 2, ISO 27001/27701/42001, NIST CSF, HIPAA, GDPR, or CCPA\n\n - Experience with GRC platforms (Anecdotes, Vanta, Drata, Secureframe, OneTrust, ServiceNow GRC)\n\n - Experience running user access reviews and a solid understanding of identity and access management concepts (RBAC, least privilege, segregation of duties, JML processes)\n\n - Hands-on experience administering a security awareness or phishing simulation platform (Adaptive Security, KnowBe4, Hoxhunt, Proofpoint, or similar)\n\n - Comfort with cloud environments (AWS, GCP, or Azure) and how SaaS products are built and operated\n\n - Strong written communication; you can translate control requirements and security concepts into language engineers, customers, and non-technical employees understand\n\n - Detail-oriented and organized, with the ability to juggle multiple audits, campaigns, and deadlines\n\n - A collaborative mindset; you enjoy working across teams rather than gatekeeping\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"7a9c5827-cbeb-4397-b364-b7a5177b9f62","title":"Developer Advocate","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"San Francisco Bay Area","secondaryLocations":[],"publishedAt":"2026-08-27T16:55:47.881+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/fireworks/7a9c5827-cbeb-4397-b364-b7a5177b9f62","applyUrl":"https://jobs.ashbyhq.com/fireworks/7a9c5827-cbeb-4397-b364-b7a5177b9f62/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Developers decide what infrastructure wins. They try three platforms in an afternoon, keep the one that got them to a working inference call fastest, and tell everyone else about it. As a Developer Advocate at Fireworks, you own a piece of that decision: you make Fireworks the platform developers reach for first when they want to build, fine-tune, and serve frontier open models in production. You do that by building things worth showing, not by talking about things other people built.
This role has a dual bar, and we mean both halves of it. You are a working engineer: you ship code, read diffs, deploy models, and can hold your own in a conversation about batching, quantization, or why a fine-tune regressed. You are also a public technical communicator: you write clearly enough that a senior engineer forwards it, you're good on a stage, and you have or want a real presence in the places developers actually argue about this stuff. Most people are strong at one and passable at the other. We're looking for the rarer profile who is genuinely credible at both, because in AI infrastructure the audience can tell within one paragraph whether you've actually run the thing.
The field moves weekly. A major open-weights model drops and the window to be the definitive resource on it is measured in days. Your job is to be one step ahead of that cadence, consistently, and to make it look repeatable rather than heroic.
This is one of the first advocate seats on the team, which means you'll help set the standards: for content, for launch response, and for how we show up. We're hiring at either the Senior or Staff level and will determine level through the interview process based on your experience.
This role is based in San Mateo, CA or London. You'll travel regularly to the conferences, hackathons, meetups, and partner events where the developer community shows up. Expect roughly 20% to 25% travel in a typical quarter, concentrated around major events and launches.
If you're based in London, you'll anchor our presence in the European developer community, work across time zones with a primarily US-based team, and travel periodically to our San Mateo HQ for onsites and planning.
Build things developers can run. Ship cookbooks, quickstarts, reference applications, and end-to-end tutorials that take a developer from zero to a working inference call and then to something production-shaped. Everything you publish is code someone can fork and run, not a screenshot of code that worked once on your machine. The bar is content a senior engineer respects and a new developer can follow, ideally both in the same artifact.
Own the launch response. When a significant model or technique lands, you're among the first credible voices with a working demo, an honest benchmark, and a \"how to actually use this today\" guide. You'll help build the internal loop (model access, eval harnesses, publishing paths) that makes day-one content a process rather than an all-nighter.
Show up where developers are, owned and unowned. On our properties, that's docs, blog, examples, cookbooks, Discord, and the developer newsletter. On properties we don't own, that's GitHub, X, Reddit, YouTube, Hacker News, and the open-source projects our developers depend on, including contributing code and reviewing PRs where it matters. You answer real questions in public and turn the recurring ones into permanent content.
Speak, teach, and run the room. Conference talks, hands-on workshops, hackathon mentoring, and developer dinners. You'll help decide where Fireworks shows up and what we say when we get there, and you'll build the material so the next person can deliver it without starting over.
Be the developer's voice inside Fireworks. Bring friction, feature gaps, and unmet needs back to product and engineering with evidence: a failing repro, a thread of five people hitting the same wall, a competitor's ergonomics that are simply better. Then close the loop publicly when we ship the fix.
Measure what you do. You'll instrument your own work: what content drove signups, which events produced developers who actually built something, where people fall out between first call and production. We care about adoption, activation, and time to first successful build. We do not care about impressions, booth scans, or attendance counts, and we won't ask you to report them.
You've published a body of technical work (tutorials, apps, deep dives) that developers cite and competitors read.
When a major model drops, Fireworks has authoritative, runnable content out fast enough to be part of the conversation rather than a follow-up to it.
You have a credible, recognized presence in developer communities where we weren't previously part of the discussion.
You've spoken at multiple significant events and left behind a workshop or talk that others on the team can now deliver.
Product and engineering can point to specific roadmap decisions that changed because of feedback you surfaced.
The content and launch standards you set are what new advocates onboard into, and they hold up without you in the room.
5+ years of combined engineering and developer-facing experience, with real time in both. For example, several years shipping production software plus meaningful time in DevRel, developer education, technical writing, or solutions engineering. We're flexible on the ratio and inflexible on the requirement that both are genuinely there.
You can code and read diffs. Strong Python; comfortable in TypeScript/JavaScript. You've built and deployed applications yourself, and you can review someone else's sample and tell whether it's good.
Hands-on with the modern AI stack. You've worked with LLM APIs in production, built with at least one agent framework, and have personally fine-tuned, evaluated, and deployed a model, not just read about it. You understand what inference latency, throughput, and cost actually depend on.
A public track record. Technical writing, talks, videos, open-source work, or a following you earned. Something we can go read or watch that shows you can explain hard things well to engineers.
Demonstrated speaking ability. You've presented at conferences, meetups, or workshops, and you're comfortable doing it on short notice about something that shipped last week.
Learning velocity. You can go from \"this paper came out Tuesday\" to \"here's a working implementation and an honest assessment\" quickly, and you have a system for staying current rather than relying on luck.
Ownership instinct. You pick your own topics, scope your own projects end to end, and don't need a content calendar handed to you. This role is early enough that you'll be defining the work as often as executing it.
Open-source contributions or maintainership in the AI/ML ecosystem, including inference engines, model libraries, agent frameworks, and evaluation tooling.
Depth in inference optimization, serving architecture, post-training, or evaluation methodology.
You've built something that outlived your direct involvement: a content operation, a launch process, an events playbook, or a community program.
Comfort making video.
Existing relationships with AI research or open-model communities.
You use frontier coding agents in your daily work and have opinions about where they help and where they don't.
Experience being early on a DevRel team and helping establish how it operates.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THIS ROLE\n\nDevelopers decide what infrastructure wins. They try three platforms in an afternoon, keep the one that got them to a working inference call fastest, and tell everyone else about it. As a Developer Advocate at Fireworks, you own a piece of that decision: you make Fireworks the platform developers reach for first when they want to build, fine-tune, and serve frontier open models in production. You do that by building things worth showing, not by talking about things other people built.\n\nThis role has a dual bar, and we mean both halves of it. You are a working engineer: you ship code, read diffs, deploy models, and can hold your own in a conversation about batching, quantization, or why a fine-tune regressed. You are also a public technical communicator: you write clearly enough that a senior engineer forwards it, you're good on a stage, and you have or want a real presence in the places developers actually argue about this stuff. Most people are strong at one and passable at the other. We're looking for the rarer profile who is genuinely credible at both, because in AI infrastructure the audience can tell within one paragraph whether you've actually run the thing.\n\nThe field moves weekly. A major open-weights model drops and the window to be the definitive resource on it is measured in days. Your job is to be one step ahead of that cadence, consistently, and to make it look repeatable rather than heroic.\n\nThis is one of the first advocate seats on the team, which means you'll help set the standards: for content, for launch response, and for how we show up. We're hiring at either the Senior or Staff level and will determine level through the interview process based on your experience.\n\n\n\n\nLOCATION AND WORK STYLE\n\nThis role is based in San Mateo, CA or London. You'll travel regularly to the conferences, hackathons, meetups, and partner events where the developer community shows up. Expect roughly 20% to 25% travel in a typical quarter, concentrated around major events and launches.\n\nIf you're based in London, you'll anchor our presence in the European developer community, work across time zones with a primarily US-based team, and travel periodically to our San Mateo HQ for onsites and planning.\n\n\n\n\nWHAT YOU'LL DO\n\nBuild things developers can run. Ship cookbooks, quickstarts, reference applications, and end-to-end tutorials that take a developer from zero to a working inference call and then to something production-shaped. Everything you publish is code someone can fork and run, not a screenshot of code that worked once on your machine. The bar is content a senior engineer respects and a new developer can follow, ideally both in the same artifact.\n\nOwn the launch response. When a significant model or technique lands, you're among the first credible voices with a working demo, an honest benchmark, and a \"how to actually use this today\" guide. You'll help build the internal loop (model access, eval harnesses, publishing paths) that makes day-one content a process rather than an all-nighter.\n\nShow up where developers are, owned and unowned. On our properties, that's docs, blog, examples, cookbooks, Discord, and the developer newsletter. On properties we don't own, that's GitHub, X, Reddit, YouTube, Hacker News, and the open-source projects our developers depend on, including contributing code and reviewing PRs where it matters. You answer real questions in public and turn the recurring ones into permanent content.\n\nSpeak, teach, and run the room. Conference talks, hands-on workshops, hackathon mentoring, and developer dinners. You'll help decide where Fireworks shows up and what we say when we get there, and you'll build the material so the next person can deliver it without starting over.\n\nBe the developer's voice inside Fireworks. Bring friction, feature gaps, and unmet needs back to product and engineering with evidence: a failing repro, a thread of five people hitting the same wall, a competitor's ergonomics that are simply better. Then close the loop publicly when we ship the fix.\n\nMeasure what you do. You'll instrument your own work: what content drove signups, which events produced developers who actually built something, where people fall out between first call and production. We care about adoption, activation, and time to first successful build. We do not care about impressions, booth scans, or attendance counts, and we won't ask you to report them.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR\n\n - You've published a body of technical work (tutorials, apps, deep dives) that developers cite and competitors read.\n\n - When a major model drops, Fireworks has authoritative, runnable content out fast enough to be part of the conversation rather than a follow-up to it.\n\n - You have a credible, recognized presence in developer communities where we weren't previously part of the discussion.\n\n - You've spoken at multiple significant events and left behind a workshop or talk that others on the team can now deliver.\n\n - Product and engineering can point to specific roadmap decisions that changed because of feedback you surfaced.\n\n - The content and launch standards you set are what new advocates onboard into, and they hold up without you in the room.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of combined engineering and developer-facing experience, with real time in both. For example, several years shipping production software plus meaningful time in DevRel, developer education, technical writing, or solutions engineering. We're flexible on the ratio and inflexible on the requirement that both are genuinely there.\n\n - You can code and read diffs. Strong Python; comfortable in TypeScript/JavaScript. You've built and deployed applications yourself, and you can review someone else's sample and tell whether it's good.\n\n - Hands-on with the modern AI stack. You've worked with LLM APIs in production, built with at least one agent framework, and have personally fine-tuned, evaluated, and deployed a model, not just read about it. You understand what inference latency, throughput, and cost actually depend on.\n\n - A public track record. Technical writing, talks, videos, open-source work, or a following you earned. Something we can go read or watch that shows you can explain hard things well to engineers.\n\n - Demonstrated speaking ability. You've presented at conferences, meetups, or workshops, and you're comfortable doing it on short notice about something that shipped last week.\n\n - Learning velocity. You can go from \"this paper came out Tuesday\" to \"here's a working implementation and an honest assessment\" quickly, and you have a system for staying current rather than relying on luck.\n\n - Ownership instinct. You pick your own topics, scope your own projects end to end, and don't need a content calendar handed to you. This role is early enough that you'll be defining the work as often as executing it.\n\n\nBONUS POINTS\n\n - Open-source contributions or maintainership in the AI/ML ecosystem, including inference engines, model libraries, agent frameworks, and evaluation tooling.\n\n - Depth in inference optimization, serving architecture, post-training, or evaluation methodology.\n\n - You've built something that outlived your direct involvement: a content operation, a launch process, an events playbook, or a community program.\n\n - Comfort making video.\n\n - Existing relationships with AI research or open-model communities.\n\n - You use frontier coding agents in your daily work and have opinions about where they help and where they don't.\n\n - Experience being early on a DevRel team and helping establish how it operates.\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"ee05e8a5-a7b8-41bf-9e7b-fdb1dc6e6bcb","title":"AI Deployment Strategist (EMEA)","department":"Engineering","team":"AMLE","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-28T19:31:55.571+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/ee05e8a5-a7b8-41bf-9e7b-fdb1dc6e6bcb","applyUrl":"https://jobs.ashbyhq.com/fireworks/ee05e8a5-a7b8-41bf-9e7b-fdb1dc6e6bcb/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As an AI Deployment Strategist, you are the long-term owner of our most important customer accounts. You pair with Account Executives to close: scoping pilots, setting success criteria, and running the technical side of the commercial conversation. At signature, you take the account and stay on it, driving adoption and expansion over years rather than quarters, so AEs can move to the next deal. This role suits entrepreneurial, technically credible operators; founder and founder CEO backgrounds are a strong fit.
What we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.
Account Ownership: Own the customer relationship and commercial outcome from signature onward, including adoption, expansion, and renewals.
Deal Support: Partner with AEs pre-signature on pilot scoping, success criteria, and technical-commercial framing.
Delivery Cadence: Run the operating rhythm of the account across the customer's and Fireworks' teams (FDEs, AMLEs, product, support).
Value Realization: Translate customer goals into concrete deployment milestones and make sure they land.
Expansion Strategy: Identify and drive new workloads, teams, and use cases within existing accounts.
Voice of Customer: Represent account needs internally with enough technical precision to be actionable.
First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent technical depth.
3+ years in roles combining technical substance with commercial ownership (deployment strategy, technical consulting, founder, forward deployed, or similar).
Strong technical credibility: able to hold your own with customer engineering leadership and our field engineers, and to reason about AI infrastructure tradeoffs.
Track record of owning outcomes over long horizons, not handing off after the sale.
Excellent judgment, communication, and stakeholder management with senior audiences.
Founder or founding team experience, especially as CEO or commercial lead of a technical product.
Experience deploying or operating AI/ML products in production with enterprise customers.
Experience navigating enterprise constraints in EMEA (procurement, data residency, GDPR, EU AI Act).
Experience in a startup or fast-paced environment.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE: \n\n\nAs an AI Deployment Strategist, you are the long-term owner of our most important customer accounts. You pair with Account Executives to close: scoping pilots, setting success criteria, and running the technical side of the commercial conversation. At signature, you take the account and stay on it, driving adoption and expansion over years rather than quarters, so AEs can move to the next deal. This role suits entrepreneurial, technically credible operators; founder and founder CEO backgrounds are a strong fit.\n\nWhat we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Account Ownership: Own the customer relationship and commercial outcome from signature onward, including adoption, expansion, and renewals.\n\n - Deal Support: Partner with AEs pre-signature on pilot scoping, success criteria, and technical-commercial framing.\n\n - Delivery Cadence: Run the operating rhythm of the account across the customer's and Fireworks' teams (FDEs, AMLEs, product, support).\n\n - Value Realization: Translate customer goals into concrete deployment milestones and make sure they land.\n\n - Expansion Strategy: Identify and drive new workloads, teams, and use cases within existing accounts.\n\n - Voice of Customer: Represent account needs internally with enough technical precision to be actionable.\n \n \n\n\nMINIMUM QUALIFICATIONS:\n\n - First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.\n\n - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent technical depth.\n\n - 3+ years in roles combining technical substance with commercial ownership (deployment strategy, technical consulting, founder, forward deployed, or similar).\n\n - Strong technical credibility: able to hold your own with customer engineering leadership and our field engineers, and to reason about AI infrastructure tradeoffs.\n\n - Track record of owning outcomes over long horizons, not handing off after the sale.\n\n - Excellent judgment, communication, and stakeholder management with senior audiences.\n\n\n\n\nPREFERRED QUALIFICATIONS:\n\n - Founder or founding team experience, especially as CEO or commercial lead of a technical product.\n\n - Experience deploying or operating AI/ML products in production with enterprise customers.\n\n - Experience navigating enterprise constraints in EMEA (procurement, data residency, GDPR, EU AI Act).\n\n - Experience in a startup or fast-paced environment.\n\n\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"55f8e95c-f1ec-41b1-b387-1b98ff560f57","title":"Member of Technical Staff (EMEA)","department":"Engineering","team":"AMLE","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-28T19:38:47.392+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/55f8e95c-f1ec-41b1-b387-1b98ff560f57","applyUrl":"https://jobs.ashbyhq.com/fireworks/55f8e95c-f1ec-41b1-b387-1b98ff560f57/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Member of Technical Staff on the EMEA field team, you build on top of one of the largest inference platforms in the world. The work spans the stack: capabilities on top of inference and serving, tooling around fine-tuning and post-training of LLMs, and the product our region’s customers need that the core platform team will not take on. You are first and foremost an excellent software engineer; that is what we are testing for. You prefer building product to being customer-facing, and that is exactly right for this role, though you are welcome to join customer work when it interests you.
Treat this as a flexible role: a bucket for exceptional builders at different levels of experience rather than a fixed job spec. There is no specific seniority requirement; anywhere from 3 to 10 years of experience can fit.
What we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.
Build: Design and ship product capabilities end to end, from ambiguous need to running in production.
Build on Inference: Create capabilities on top of the serving stack: routing, model controls, observability, and whatever a deployment turns out to need.
Build on Training: Ship tooling around fine-tuning and post-training of LLMs, from data pipelines to evaluation, working alongside our applied ML engineers.
Own Regional Capability: Turn EMEA-specific requirements into product, working with core platform where the line is unclear.
Engineering Quality: Set the engineering bar for the regional team; your code is the reference.
Agentic Development: Use coding agents and AI tooling as a core part of how you build, with judgment about when to trust the output.
Optional Customer Work: Join deployments or customer conversations when useful or interesting; never required.
First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.
Excellent software engineering: depth in backend systems and infrastructure, and a track record of shipping production systems you owned.
Strong coding skills in Python and at least one systems language.
Fluent in AI-assisted and agentic engineering: uses coding agents and AI tooling as a core part of how you build, and knows when to trust the output and when not to.
Genuine interest in inference and AI infrastructure.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nTHE ROLE:\n\n\nAs a Member of Technical Staff on the EMEA field team, you build on top of one of the largest inference platforms in the world. The work spans the stack: capabilities on top of inference and serving, tooling around fine-tuning and post-training of LLMs, and the product our region’s customers need that the core platform team will not take on. You are first and foremost an excellent software engineer; that is what we are testing for. You prefer building product to being customer-facing, and that is exactly right for this role, though you are welcome to join customer work when it interests you.\n\n \n\nTreat this as a flexible role: a bucket for exceptional builders at different levels of experience rather than a fixed job spec. There is no specific seniority requirement; anywhere from 3 to 10 years of experience can fit.\n\n \n\nWhat we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks. You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.\n\n\n\n\nKEY RESPONSIBILITIES: \n\n - Build: Design and ship product capabilities end to end, from ambiguous need to running in production.\n\n - Build on Inference: Create capabilities on top of the serving stack: routing, model controls, observability, and whatever a deployment turns out to need.\n\n - Build on Training: Ship tooling around fine-tuning and post-training of LLMs, from data pipelines to evaluation, working alongside our applied ML engineers.\n\n - Own Regional Capability: Turn EMEA-specific requirements into product, working with core platform where the line is unclear.\n\n - Engineering Quality: Set the engineering bar for the regional team; your code is the reference.\n\n - Agentic Development: Use coding agents and AI tooling as a core part of how you build, with judgment about when to trust the output.\n\n - Optional Customer Work: Join deployments or customer conversations when useful or interesting; never required.\n \n\n\nMINIMUM QUALIFICATIONS:\n\n - First principles and critical thinking: the ability to break down novel problems and reason to a solution without a reference implementation. This is the primary interview signal and can outweigh other qualifications.\n\n - Excellent software engineering: depth in backend systems and infrastructure, and a track record of shipping production systems you owned.\n\n - Strong coding skills in Python and at least one systems language.\n\n - Fluent in AI-assisted and agentic engineering: uses coding agents and AI tooling as a core part of how you build, and knows when to trust the output and when not to.\n\n - Genuine interest in inference and AI infrastructure.\n\n\n\n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."},{"id":"a09d7658-2986-46f9-a4e1-a8ce9a98a07c","title":"Field Marketing Manager, EMEA ","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"London","secondaryLocations":[],"publishedAt":"2026-08-31T23:53:55.819+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"London","addressCountry":"United Kingdom","addressLocality":"London"}},"jobUrl":"https://jobs.ashbyhq.com/fireworks/a09d7658-2986-46f9-a4e1-a8ce9a98a07c","applyUrl":"https://jobs.ashbyhq.com/fireworks/a09d7658-2986-46f9-a4e1-a8ce9a98a07c/application","descriptionHtml":"Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
This is a high-impact role on Fireworks AI's Marketing team, central to our pipeline strategy and go-to-market motion. As a Field Marketing Manager, EMEA you'll be a key architect of how we show up in the field, owning a mix of strategy, execution of our event and field programs, while helping establish the foundational infrastructure and playbooks that will scale the team.
If you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative events that directly shape Fireworks AI's brand experience in EMEA. You're not just running events — you're building a repeatable engine for pipeline and brand.
You'll collaborate closely with cross-functional stakeholders in sales and leadership to design experiences that accelerate deals and deepen customer relationships. You'll bring a strategic lens to audience segmentation, investment decisions, and program measurement, while also rolling up your sleeves to execute.
Develop Fireworks AI's EMEA field marketing strategy, aligning program investments to sales priorities, pipeline goals, and key customer segments.
Conceptualize and produce end to end planning, execution, of hosted events including executive experiences, large-format educational events, trade shows, co-sponsored activations, and flagship user conferences.
Build pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and drive strong sales follow-up.
Partner with sales leadership on territory and account-level strategy, ensuring field programs reach the right accounts at the right moments in the buying cycle.
Track and report on program ROI to marketing and sales leadership, making data-driven recommendations on how we invest in field events to drive incremental business impact.
Mentor and provide guidance to junior field marketing team members as the function grows.
7+ years of field marketing or event marketing experience in B2B SaaS or B2B tech.
A passion for all things field and experiential marketing. You understand the purpose and place for every event type, from executive dinners to trade shows, and take pride in the details that elevate a good event to a great one.
A strong strategic instinct paired with operational excellence: you can zoom out to define a program roadmap and zoom in to manage the logistics that make the difference.
Experience partnering with sales leadership and AE's to develop territory-level event strategies and account-based marketing motions.
Proven ability to manage complex, multi-event portfolios simultaneously across diverse program types
Strong cross-functional collaborator who works effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders.
Strong written and verbal communication skills, including the ability to create clear event documentation and present post-event insights to leadership.
Comfortable with data and analytics, using event metrics to optimize programs and clearly demonstrate ROI.
Proficiency in CRM and marketing automation software; Salesforce is required.
Experience at a startup or hyper-growth company is preferred; especially within the EMEA region
Experience delivering both in-person field events and larger-scale user conferences, including flagship events (500+ attendees).
Background designing and optimizing account-based marketing (ABM) motions in partnership with demand generation teams.
Marketo experience.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
","descriptionPlain":"ABOUT US:\n\nFireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.\n\n\nABOUT THE ROLE:\n\nThis is a high-impact role on Fireworks AI's Marketing team, central to our pipeline strategy and go-to-market motion. As a Field Marketing Manager, EMEA you'll be a key architect of how we show up in the field, owning a mix of strategy, execution of our event and field programs, while helping establish the foundational infrastructure and playbooks that will scale the team.\n\nIf you're a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative events that directly shape Fireworks AI's brand experience in EMEA. You're not just running events — you're building a repeatable engine for pipeline and brand.\n\nYou'll collaborate closely with cross-functional stakeholders in sales and leadership to design experiences that accelerate deals and deepen customer relationships. You'll bring a strategic lens to audience segmentation, investment decisions, and program measurement, while also rolling up your sleeves to execute.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Develop Fireworks AI's EMEA field marketing strategy, aligning program investments to sales priorities, pipeline goals, and key customer segments.\n\n - Conceptualize and produce end to end planning, execution, of hosted events including executive experiences, large-format educational events, trade shows, co-sponsored activations, and flagship user conferences.\n\n - Build pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and drive strong sales follow-up.\n\n - Partner with sales leadership on territory and account-level strategy, ensuring field programs reach the right accounts at the right moments in the buying cycle.\n\n - Track and report on program ROI to marketing and sales leadership, making data-driven recommendations on how we invest in field events to drive incremental business impact.\n\n - Mentor and provide guidance to junior field marketing team members as the function grows.\n\n\nSKILLS YOU'LL NEED TO BRING:\n\n - 7+ years of field marketing or event marketing experience in B2B SaaS or B2B tech.\n\n - A passion for all things field and experiential marketing. You understand the purpose and place for every event type, from executive dinners to trade shows, and take pride in the details that elevate a good event to a great one.\n\n - A strong strategic instinct paired with operational excellence: you can zoom out to define a program roadmap and zoom in to manage the logistics that make the difference.\n\n - Experience partnering with sales leadership and AE's to develop territory-level event strategies and account-based marketing motions.\n\n - Proven ability to manage complex, multi-event portfolios simultaneously across diverse program types\n\n - Strong cross-functional collaborator who works effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders.\n\n - Strong written and verbal communication skills, including the ability to create clear event documentation and present post-event insights to leadership.\n\n - Comfortable with data and analytics, using event metrics to optimize programs and clearly demonstrate ROI.\n\n - Proficiency in CRM and marketing automation software; Salesforce is required.\n\n\nNICE TO HAVES:\n\n - Experience at a startup or hyper-growth company is preferred; especially within the EMEA region\n\n - Experience delivering both in-person field events and larger-scale user conferences, including flagship events (500+ attendees).\n\n - Background designing and optimizing account-based marketing (ABM) motions in partnership with demand generation teams.\n\n - Marketo experience.\n\n \n\n\nWHY FIREWORKS?\n\n - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\n\n - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\n\n - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\n\n - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\n\nFireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators."}],"apiVersion":"1"}