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
Own customer onboarding end to end: land in their environment, scope the integration, and get them to production fast Get hands-on with the product against real customer data, build the integration, and solve the problems that block go-live
What they're looking for
- You've done implementation, forward-deployed, solutions, or customer-facing engineering, ideally at a developer, API, or AI-infra product
- You're technical enough to earn a developer's respect: you can read code, use an API, and build a real integration yourself
- You've taken customers from signed to live in production, and can point to the technical work that made the rollout land
- You check before you build: you can tell user error from a bug from a real product gap, and you don't turn every ask into a custom feature
- You can translate between deep technical detail and business value without losing either audience
- You move fast and close the loop. You'd rather ship a working integration against real data than perfect a doc
More about this role
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.
Equity Range: Competitive equity. Details shared during the process.
Job Type: Full-Time
Experience: 3+ years in a customer-facing technical role or equivalent
Work Authorization: Must be authorized to work in the United States. We're not able to sponsor US visas right now, though that may change down the line.
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...
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