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Firecrawl is seeking a customer-facing engineer to partner with key accounts in the San Francisco area. You will own account outcomes, deepen product adoption, and unblock technical problems to turn live integrations into growing ones.
You’ll work hands-on with data, build integrations, diagnose pipeline issues, and coordinate with product and engineering to drive adoption and expansion across accounts. This role is hybrid and on-site in SF.
You'll be the technical partner customers count on for the long haul. Once an account is live on Firecrawl, you're the one who keeps them winning: deepening how they use the product, unblocking the hard technical problems that come up, and turning a working integration into a growing one. This is a customer-facing engineering role measured in adoption, retention, and expansion, not tickets closed. You build, you deploy, you own the outcome.
Salary Range: $180,000 to $240,000/year OTE
Equity Range: Competitive equity — details shared during the process.
Location: San Francisco, CA (Hybrid, on-site required)
Job Type: Full-Time
Experience: 3+ years in a customer-facing technical role or equivalent
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 150k+ 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.
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.
For our U.S. Based Full-Time Employees
Application Review — Send us your work and a quick note on why this excites you. Tell us about an account you grew and the technical problems you solved to keep them winning. We care about what you've done, 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 & Customer Scenario Interview (~55 min) – We'll walk through a real customer scenario: how you'd handle a live technical question, deepen an account's usage, and spot expansion opportunities. We're looking for technical depth, customer instincts, and how you think about growing an account over time — not rehearsed pitches.
Founder Chat (~25 min) — Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1-2 weeks) — Take on a real, scoped customer scenario with the team, paid at a contractor rate. Build an integration, solve an account problem, or run a technical discovery. It's the truest signal for both sides: you see what the role actually feels like, and we see how you operate. We'll flex around your current commitments.
Decision — We move fast after the trial.