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 the technical side of the sales cycle: discovery, solution architecture, demos, and proof of concepts Get hands-on with the product in front of customers, and show them exactly how Firecrawl solves their problem
What they're looking for
- You've done technical pre-sales, solutions engineering, or a customer-facing technical role, ideally at a developer or API product
- You're technical enough to earn a developer's respect: you can read code, use an API, and build a real POC yourself
- You can translate between deep technical detail and business value without losing either audience
- You're energized by customer conversations and comfortable owning your part of a deal's outcome
- You move fast and close the loop. You'd rather ship a POC and iterate than perfect a deck
- A pure account executive who can't get technical
More about this role
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 Revenue and Success and own the technical side of the sales motion from day one.
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+...
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