In-House Technical Recruiter

San Francisco · Toronto, ON · 3+ years experience · Full-time · Hybrid · Posted Oct 19, 2026

At a glance

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.

You'll own how Firecrawl hires, managing thirty-plus open roles across engineering, research, go-to-market, and G&A.
Your job is to run AI recruiting partners, agencies, sourcing tools, and outreach as one seamless system to ensure the right people get to yes.
Reporting to the Chief of Staff and working closely with hiring managers, you will be based in San Francisco or Toronto.

Own every recruiting channel including AI recruiting partners, agencies, sourcing tools, referrals, and inbound as one funnel.
Brief and calibrate partners by translating each hiring manager's bar into a target profile and giving fast, specific feedback on submissions.
Judge submission quality against the real bar, identifying which partners send great candidates versus volume.
Fill the gaps yourself by sourcing directly and building the pipeline when a channel isn't producing for a hard role.
Run the full-cycle process including screening, intro chats, scheduling, references, offer packets, and closing.
Own Ashby as a system, maintaining pipelines, stages, AI screening criteria per role, and team reporting.
Keep hiring managers moving through weekly syncs, candidate notes, and flagging stalled loops early.
Track funnel metrics such as time to hire, pass rates by stage, and source quality by partner.
Keep postings current by drafting job descriptions on the company template and handing off hires cleanly to onboarding.

Technical recruiting experience closing technical hires at a startup in backend, infrastructure, ML, or developer tools.
Partner management experience working with agencies or sourcing partners and improving their output through feedback.
Demonstrated ability to hold a high bar and advocate for quality over quantity.
Operational rigor to run many roles simultaneously without dropping candidates or partners.
AI-native fluency in Ashby or a comparable ATS and daily use of AI tools for sourcing, screening, and writing.
Ability to close candidates, understand comp bands and equity, and guide offers effectively.