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In-House Technical Recruiter

Firecrawl · San Francisco, CA or remote · $81K to $179K

$81K to $179K

Found in last night's run on Firecrawl's Ashby board.

About the role

IN-HOUSE TECHNICAL RECRUITER

You’ll own how Firecrawl hires. Thirty-plus open roles across engineering, research, go-to-market, and G&A, run through a mix of AI recruiting partners, agencies, sourcing tools, and our own outreach. Your job is to run all of it as one system: brief every partner, hold the bar, keep candidates moving, and make sure the right people get to yes. Today the Chief of Staff does this. Starting now, it’s you.

You’ll report to the Chief of Staff and sit on the operations team. You’ll work closely with the Deputy Chief of Staff, who runs the operating layer around hiring (tooling, onboarding kickoff, the weekly hiring digest), and directly with hiring managers across the company. Beyond hiring, you’ll be our recruiter on the ground at Firecrawl After Dark and our hackathons, and you’ll help run events wherever we host them. You’ll be based with us in San Francisco or Toronto, with travel for events.

Salary Range: $160,000–$179,000 USD/year (SF) / $81,000–$88,000 USD/year (Toronto)

Equity Range: Competitive equity. Details shared during the process.

Location: Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, in office 3+ days a week.

Job Type: Full-Time

Experience: 3+ years of full-cycle recruiting, with technical hires closed at a startup

Work Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia), but we’re not able to sponsor new H-1B visas for candidates outside the US. 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 192k+ 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, 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. That library is called Alexandria, and it starts now.

OUR VALUES

  • Bias to action: We move fast, ship hard, and don’t wait to be told.
  • Realistic about AI: We’re clear-eyed about what AI can and can’t do, and we keep pushing to use it where it actually works.
  • All in: The next few years matter a lot, and we’re all in for them.
  • Human connection: As intelligence gets cheaper, relationships with customers, partners, and each other matter more.

WHAT YOU'LL DO

  • Own every recruiting channel: Run our AI recruiting partners, agencies, sourcing tools, referrals, and inbound as one funnel, so no role depends on a single source.
  • Brief and calibrate partners: Translate each hiring manager’s bar into a clear target profile, give partners fast, specific feedback on every submission, and recalibrate when the shape is off.
  • Judge submission quality: Read every profile against the real bar, not a scorecard. Know which partners are sending great people and which are sending volume, and act on it.
  • Fill the gaps yourself: When a channel isn’t producing for a hard role, source directly and build the pipeline.
  • Run the process: Screening, intro chats, scheduling, references, offer packets, and closing, with quick responses and honest declines.
  • Be the first impression: You’ll run the intro chat for every role at Firecrawl, so for most candidates you’re the first person they meet. Every candidate, hired or not, should leave with a good story about us.
  • Recruit at our events: Be our in-house recruiter at Firecrawl After Dark and our hackathons. Meet builders in person, spot the standouts, and turn good conversations into pipeline.
  • Be part of operations: Help plan and execute events wherever we host them, from logistics to day-of, and jump in on other operations work when the team needs a hand.
  • Own Ashby as a system: Pipelines, stages, AI screening criteria per role, and reporting the team actually reads.
  • Keep hiring managers moving: Run weekly syncs, write candidate notes that let them decide fast, and flag stalled loops before they cost us a candidate.
  • Track what works: Time to hire, pass rates by stage, and source quality by partner. Use the numbers to fix the funnel and cut what isn’t working.
  • Keep postings current: Draft job descriptions on our template and hand every hire cleanly to onboarding.

WHAT WE'RE LOOKING FOR

  • Technical recruiting experience: You’ve closed technical hires at a startup (backend, infrastructure, ML, or developer tools) and can talk to an engineer about what they build.
  • Partner management: You’ve worked with agencies or sourcing partners and made them better. You can give feedback that changes what they send.
  • A real bar: You have opinions about who’s great and you’ll say so to a hiring manager. You’d rather send three great people than twelve fine ones.
  • Operational rigor: You run many roles at once without dropping candidates or partners.
  • AI-native: You’re fluent in Ashby (or a comparable ATS) and use AI tools every day, from sourcing to screening to writing.
  • You close: You understand comp bands
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