Web Automation Engineer

WEB AUTOMATION ENGINEER 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). Hybrid, onsite 3+ 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. ABOUT FIRECRAWL 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 187k+ 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. WHAT YOU'LL DO - Reverse engineer detection: Research how modern websites detect and challenge automated traffic, and take apart those mechanisms and challenge flows - Find the signals: Identify the browser, device, network, and behavioral signals that separate automated access from human traffic - Replicate and harden: Reproduce those signals synthetically in authorized test environments to validate and harden our approaches - Turn research into production: Build the automation, diagnostic, and monitoring tools that keep scrape reliability high as the…