You'll own the developer-facing search experience at Firecrawl — taking the retrieval and ranking improvements coming out of research and shipping them as a product developers can't stop using. This isn't a pure research role and it isn't a pure backend role. You sit at the intersection: you understand how the systems work deeply enough to improve them, and you care about how they feel to use obsessively enough to make them great. At a 26-person company, the gap between research and shipped product is exactly one person. You're that person.
Salary Range: $180,000–$290,000/year (Range shown is for U.S.-based employees. Compensation outside the U.S. is adjusted fairly based on your country's cost of living. You can explore how we calculate this here: https://www.firecrawl.dev/careers/compensation.)
Equity Range: Up to 0.15%
Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)
Job Type: Full-Time
Experience: 3+ years in applied RL, ML engineering, or model training — with production systems
Visa: US Citizenship/Visa required for SF; N/A for Remote
About Firecrawl
Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we've hit 8 figures in ARR and 100k+ GitHub stars by building the fastest way for developers to get LLM-ready data.
We're a small, fast-moving, technical team building essential infrastructure superintelligence will use to gather data on the web. We ship fast and deep.
What You'll Do
Ship search improvements that developers notice. Take retrieval and ranking improvements from research and turn them into product changes that make developers say "this just works." You know that a 200ms latency improvement isn't just a benchmark win — it's a better product. You ship the whole thing: the API change, the docs update, the example that makes it obvious.
Own the search API end-to-end. You're responsible for how Firecrawl's search endpoint feels to integrate, use, and build on. That means response format, latency, error handling, pagination, filtering — every surface a developer touches. You're the person who notices when something is confusing before a user files a GitHub issue about it.
Dogfood relentlessly. You build things with the API before you ship them. You feel the friction before your users do. You read every GitHub issue, every Discord thread, every support ticket that touches search — not because someone asked you to, but because that's where the product signal lives.
Translate research into product decisions. You work closely with the Search/IR and RL Research Engineers. You understand their work well enough to make good product calls about what to prioritize, what to expose to users, and what to keep under the hood. You ask good questions. You push back when something technically elegant would make the API worse.
Run fast product experiments. You form a hypothesis about what would make search better for developers, instrument it, ship it, measure it, and decide quickly. You're comfortable making calls with imperfect data because waiting for perfect data means shipping nothing.
Raise the bar on developer experience. Firecrawl's users are technical. They have high standards. They notice when response formats are inconsistent, when error messages are unhelpful, when documentation doesn't match behavior. You notice too — and you fix it before they have to ask.
What We're Looking For
Obsessive about developer experience. You think about DX the way a designer thinks about pixels. Latency, response structure, error messages, API ergonomics — these things matter to you on a visceral level. You've built APIs that developers loved and you know the difference between an API that works and one that delights.
Speaks both product and engineering fluently. You can read a ranking algorithm and understand its implications for the search experience. You can write the API spec and implement it yourself. You don't need a PM to tell you what matters or an ML engineer to explain why a retrieval change is significant. You connect those dots on your own.
Hands-on builder who ships. You write code. You own features from design to deployment. You're comfortable with ambiguity and you don't need a perfectly scoped ticket to make progress. You ship something, learn from it, and iterate.
Has a feel for search as a product. You've thought seriously about what makes search good — not just fast or accurate, but genuinely useful. You understand the difference between recall and precision and why developers care about both. You have intuitions about query understanding, result ranking, and when semantic search beats keyword search — and you've built products that put those intuitions to work.
Brings production instincts. You've operated systems under real load. You know what breaks first, how to instrument what matters, and how to make good latency/quality tradeoffs. You're not just building features — you're building infrastructure developers depend on.
Backgrounds that tend to do well: Engineers who've owned search or discovery features at developer-tools companies. Full-stack engineers with a strong backend bias who've shipped APIs used by thousands of developers. Engineers from search infrastructure teams who got frustrated by the distance between their work and the user experience. People who've built on top of Elasticsearch, Vespa, or vector databases — and cared enough about the product layer to go deeper than the query interface.
What We're NOT Looking For
Great engineers who don't care about DX. If you build technically excellent systems but think API ergonomics and documentation are someone else's problem, this isn't the role. The product experience is part of the job — not an afterthought.
People who need a PM. There's no product manager between you and the work. You define what good looks like, you decide what to prioritize, and you own the outcome. If that's uncomfortable, you'll struggle here.
Specialists who only work on one layer. If you're only interested in backend systems and tune out when the conversation shifts to how something is exposed to developers — or vice versa — this won't be a fit. This role requires you to hold both.
Slow shippers. The research team will produce improvements faster than a slow product cycle can absorb them. We need someone who can take something from "this ranking model is better" to "this is live in the API with docs and an example" in days, not sprints.
People who don't use the product. If you're not the kind of engineer who builds side projects with APIs like ours, reads the docs critically, and notices when something feels off — you'll miss the signal that makes this role work.
A Note On Pace
We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.
Benefits & Perks
Available to all employees
Salary that makes sense — $180,000–$290,000/year, based on impact, not tenure
Own a piece — Up to 0.15% equity in what you're helping build
Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge
Parental leave — 12 weeks fully paid, for moms and dads
Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human
Learning & Development — Expense up to $1,000/year toward anything that helps you grow professionally
Team offsites — A change of scenery, minus the trust falls
Sabbatical — 3 paid months off after 4 years, do something fun and new
Available to US-based full-time employees
Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works
Life & Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs
Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind
Doctegrity telehealth — Talk to a doctor from your couch
401(k) plan — Retirement might be a ways off, but future-you will thank you
Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit
Pet insurance — Because fur babies are family too
Available to SF-based employees
SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy
E-Bike transportation — A loaner electric bike to get you around the city, on us
Interview Process
Application Review — Send us your work and a quick note on why this excites you. Show us what you've shipped — search features, APIs, developer-facing products. A GitHub link, a product you've built, or a write-up of something you're proud of goes a long way.
Intro Chat (~20 min) — A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.
Deep Dive Chat (~45 min) — Go deep on search products and APIs you've built: architecture decisions, DX tradeoffs, how you've translated technical improvements into product changes. We'll explore a live problem — how you'd take a retrieval improvement and ship it as a better developer experience at Firecrawl. We're looking for product instincts, technical depth, and the ability to hold both at once.
Founder Chat (~30 min) — Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1–2 weeks) — Tackle a real search product problem with production implications. We evaluate on shipping speed, product judgment, and how well you balance technical quality with developer experience.
Decision — We move fast after the trial.
If you want to own the search experience at one of the fastest-growing developer infrastructure companies in AI — and you're the kind of engineer who won't stop until it's great — this is your shot.
👉 Apply now.
About Firecrawl
Firecrawl is a web data infrastructure platform that converts websites into clean, structured data optimized for AI applications through a simple API. Originally built as an internal tool at Mendable to solve their own data ingestion challenges, the team recognized the broader need for reliable web data extraction and transformed it into a standalone product. The platform combines web search, scraping, and AI-powered parsing into a unified solution, focusing on the core developer priorities of reliability, speed, and ease of use. By abstracting away the complexities of web data extraction, Firecrawl serves as the foundational data layer that enables AI applications to seamlessly access and process web content in the exact format they need.
