Firecrawl · posted 13w ago
You'll be the technical partner in every deal that matters. When a developer or company is evaluating Firecrawl for serious scale, you're the one who shows them what it can do, architects the solution to their problem, runs the proof of concept, and answers the hard technical questions that decide the deal. You sit at the intersection of engineering and revenue: fluent enough to earn a developer's trust, commercial enough to move a deal forward. You'll report to our VP of Deployment and own the technical side of the sales motion from day one.
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.