Firecrawl · San Francisco, CA
Firecrawl is looking for a high-agency, product-minded engineer with strong experimental and data instincts to own how agents discover, understand, and use Firecrawl. You'll ship fast, run rigorous A/B tests, and turn what you learn into a better product — for an audience that isn't human.
This is not a pure research or data science role. We want an engineer who brings scientific rigor to product development: forming hypotheses, running experiments, analyzing results, and shipping better agent experiences. Prior agent experience is valuable, but raw engineering ability, shipping velocity, and learning speed matter most.
Salary Range: $235,000–$260,000/year
Equity Range: Competitive equity — details shared during the process.
Location: San Francisco, CA (on-site)
Job Type: Full-Time
Experience: 5+ years
Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.
We hit 8 figures in ARR in year one and more than doubled it in year two. We have 175k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.
We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.
Design and ship A/B tests across agent-facing surfaces — MCPs, CLIs, skills, APIs, documentation — to see how agents actually use Firecrawl
Turn experiment results into shipped product improvements, fast
Track emerging agent tools, models, and harnesses (Hermes, OpenClaw, and whatever's next) closely enough to know what they mean for us
Form hypotheses about how agents discover, interpret, and select tools and capabilities, then test them in production
Operate independently in a space that doesn't have a playbook yet — own the problem end to end
Bring scientific rigor to product development without turning it into a research project
A track record of shipping high-quality products fast — not prototypes, not decks
Comfort designing A/B tests, reading behavioral data, and acting on what it tells you
Familiarity with agent-facing surfaces: MCPs, CLIs, skills, APIs, documentation
You actively follow emerging AI tools, models, and harnesses — Hermes, OpenClaw, whatever's next
Genuine curiosity about how agents select tools, interpret capabilities, and interact with products
High agency — you can operate independently in a space that doesn't have a playbook yet
Often an ex-founder, early startup engineer, prolific open-source contributor, or someone with impressive public work
Someone looking for a pure research or data science role — this is a shipping job first
Someone who needs a mapped-out roadmap before they can move
Someone who treats experimentation as a report to write rather than a lever to pull
Someone excited by agents in theory who hasn't actually built for them
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.
Salary that makes sense — $235,000–$260,000/year, based on impact, not tenure
Own a piece — Gain competitive 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 all parents
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
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
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
Application Review — Send us your resume and a link to something you've built. We care about what you've actually shipped, not where you went to school.
Intro Chat (~25 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.
Technical Chat (~45 min) — We'll walk through something you've built and a real agent-experience problem from our world. Come ready to think out loud; we care how you reason and experiment, not whether you know the "right" answer going in.
Founder Chat (~25 min) — Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1-2 weeks) — Ship something real with the team, paid at a contractor rate. It's the truest signal for both sides: you see what building at Firecrawl actually feels like, and we see how you operate.
Decision — We move fast after the trial.
If you want to define how agents experience the web, from the ground up, you should join us.
👉 Apply now.
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