Firecrawl is the web data API to search, scrape, and interact with the web at scale. Turn any source into clean Markdown or structured data your agents can ship with. Backed by Y Combinator.
About the role
Design and build the crawling, indexing, and retrieval systems behind Firecrawl Search Push down latency and cost per query while search volume grows
What they're looking for
- You've built and operated backend or distributed systems at real scale
- You care about latency, cost, and correctness in equal measure
- You're comfortable owning ambiguous problems and turning them into shipped systems
- You move fast and close the loop. You'd rather ship, measure, and iterate than perfect on paper
- Someone who needs a fully-specced ticket to start
- Someone who wants to specialize narrowly and hand off everything else
More about this role
You'll build the systems that let anyone turn the open web into a search index. Firecrawl's search product is one of our fastest-growing surfaces, and we need engineers who can make crawling, ranking, and retrieval fast, reliable, and cheap at scale. You'll own real infrastructure from day one, not tickets in a backlog.
Equity Range: Competitive equity. Details shared during the process.
Job Type: Full-Time
Experience: 3+ years building production backend or infra systems
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.
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 183k+ GitHub stars, putting us in the top...
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