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Firecrawl is seeking a WEB AUTOMATION ENGINEER to help keep our web scraping at scale fast, reliable, and resilient. You will research and engineer defense against detection mechanisms and build production-grade automation tooling.
We value deep understanding of browser internals, network fundamentals, and the ability to ship fixes into production quickly. This is a high-urgency, impact-driven role based on the SF HQ or Toronto Hub.
You'll keep Firecrawl connected to the open web. Every product we ship depends on reliably accessing pages at web scale, and the modern web actively resists automation with detection systems, challenge flows, and fingerprinting that evolve weekly. This role is equal parts research and engineering: understand how those systems work at the deepest level, then turn that understanding into infrastructure that keeps our scraping fast, reliable, and resilient. If you like taking apart obfuscated JavaScript on a Tuesday and shipping the fix to production on Wednesday, this is for you.
Salary Range: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)
Equity Range: Competitive equity. Details shared during the process.
Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). On-site, five days a week.
Job Type: Full-Time
Experience: 3+ years building browser automation, web infrastructure, or systems-level software
Work Authorization: Must be authorized to work in the United States or Canada. We're not able to sponsor US visas right now. For Canada, we'll consider sponsorship on a case-by-case basis through our Toronto Hub.
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. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 180k+ GitHub stars, putting us in the top 50 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, working out of SF HQ and our new Toronto Hub. 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.