You'll be the engineer who gets customers live and winning fast. When a company signs on with Firecrawl, you're the one who lands in their environment, wires up the integration, and turns "we bought it" into "it's in production and working." This is a hands-on, customer-facing engineering role measured in time-to-value and adoption, not tickets closed. You build, you deploy, you own the outcome. Salary Range: $209,000–$265,000 USD/year OTE Equity Range: Competitive equity. Details shared during the process. Location: San Francisco, CA (SF HQ). On-site, five days a week. Job Type: Full-Time Experience: 3+ years in a customer-facing technical role or equivalent Work Authorization: Open to candidates already authorized to work in the US. We also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US.
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. It's the boring-hard problem everyone building with LLMs eventually hits, solved. In September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 192k+ GitHub stars, putting us in the top 40 repositories of all time, 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. That library is called Alexandria, and it starts now.
Backgrounds that often do well: implementation or onboarding engineers at API/devtools companies. Solutions engineers who owned the full lifecycle from signed deal to production. Technical account managers who actually built things. Ex-founders who sold and delivered their own product.
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.
Application Review: Send us your work and a quick note on why this excites you. Tell us about a customer you got live in production and the technical problems you solved to get there. 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 scope an implementation, handle a live technical question, and get an account to production. We're looking for technical depth, customer instincts, and how you think about time-to-value, not rehearsed pitches. Founder Chat (~25 min): Culture, pace, ownership, and how you like to work. Time for your questions too. Paid Work Trial (~40 Hours): Take on a real, scoped customer scenario with the team, paid at a contractor rate. Build an integration, scope a rollout, 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. If you want to be the engineer who gets customers live and keeps them winning at one of the fastest-growing AI infrastructure startups, this is your shot. 👉 Apply now.
