AI Product Engineer
About the Role
Product engineers at Fireworks build the software we ship to our users. You'll join a high-autonomy team that turns frontier AI infrastructure into products developers and enterprises love — from the inference API and developer console to fine-tuning workflows, deployment management, billing, and new bets like Fire Pass and agentic tooling.
This is not a "take a ticket and implement" role. You'll sit close to customers, talk to users directly, and iterate on what you ship based on real feedback — often within days, not quarters. You'll own features end-to-end: understand the problem (sometimes by joining a customer call), design the solution, build it across the stack, ship it, instrument it, and improve it until it works in production.
Fireworks owns the full stack: training, fine-tuning (SFT and RFT at frontier scale), serverless and dedicated inference, multi-LoRA serving, and agentic orchestration — all on infrastructure we built from scratch. Product Engineering sits on top of that stack and makes it usable. The pace of AI moves week to week; the map is being drawn as we go, and product engineers here help draw it.
You may be a fit if:
You've built a product people actually use — and you cared about how it felt, not just whether it compiled
You blend strong engineering with product taste and an instinct for what great developer experience looks like
You'd rather talk to a customer, ship a prototype, and learn than wait for a perfect spec
You have a knack for making powerful infrastructure feel simple — without dumbing it down
You move fast with good judgment: you know when to polish and when to ship and iterate
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What You'll Do
Ship product and talk to users. Join customer calls, work with design partners, and turn what you learn into product improvements — not slide decks
Own features end-to-end across the Fireworks platform: developer console, API surfaces, model playground, fine-tuning workflows, deployment management, billing, and new product bets
Sprint on 0→1 initiatives. Take ambiguous ideas from concept to shipped product in weeks — new workflows, new product surfaces, new ways for developers to build on Fireworks
Build for deeply technical users where the product is an API as much as a UI — and sweat the details in both
Work full stack across frontend (React/TypeScript), backend services (Python, Go), APIs, and data layers to deliver polished, production-quality surfaces
Iterate with data and conviction. Instrument what you ship, watch how developers use it, run experiments, and improve fast
Partner across the company with Infrastructure, Applied Research, Growth, Data, and Design — but don't wait for perfect alignment to make progress
Punch through technical walls. When platform primitives aren't there yet, you'll help define what's needed and build around (or through) the gaps
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Sample Projects
Launching a new developer workflow end-to-end in a two-week sprint — from customer problem to shipped console + API surface
Redesigning a core product flow (deployments, fine-tuning, or billing) after sitting in on customer onboarding sessions
Building and iterating on agentic product surfaces — tool use, orchestration UX, and harness tooling that developers trust
Running experiments on API/console behavior to reduce time-to-first-successful-request for new developers
Shipping a new consumption model or product vertical from scratch with a small cross-functional pod
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Minimum Qualifications
3+ years of experience as a software engineer, with meaningful time spent building user-facing products
Strong full-stack skills — comfortable across frontend (React/TypeScript), backend (Python, Go, or similar), APIs, and databases
Experience building developer-facing products: APIs, dashboards, consoles, CLIs, or developer tools
Track record of owning features end-to-end — from problem discovery through deployment and iteration
Strong product instincts and developer empathy — you notice when something is off in a workflow and you fix it
Demonstrated 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
Comfort talking to customers and incorporating feedback directly into what you build
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Preferred Qualifications
Experience at a fast-moving startup, applied AI company, or developer tools company — you know what "ship and learn" feels like at pace
Experience building products on top of complex infrastructure — inference platforms, cloud services, data platforms, or ML tooling
Independent product judgment — you can make sound decisions without heavy process or sign-off
UX and design obsession: you care about micro-interactions, empty states, error messages, and latency because magical developer products are built from hundreds of small decisions done right
You build with AI tools daily and have strong intuition for what great AI developer experience looks like from the inside
Experience working with enterprise customers or design partners — polished enough for a demo, gritty enough to debug in production