AI Enablement Lead

AI Enablement Lead

Firecrawl is looking for someone to own how we use AI internally. The thesis behind the role: a company's output used to scale with headcount, and ours scales with tokens, meaning how much compute we run and how well we turn it into shipped work. A small team that does this well operates like one several times its size, and the ceiling on that isn't budget, it's adoption. You'll set up and maintain the agent harnesses, configs, and model routing every team runs on, revenue first, get the people who barely use agents onto them, and work straight from our token spend data to find who's burning it without output and who isn't using enough.

Most of this work is people, not config. Getting someone to hand real work to an agent means asking them to change how they've worked for years, with tools that feel unfamiliar and sometimes threatening. You'll need EQ as much as technical depth: reading who's stuck and why, meeting people where they are, and staying with them until it sticks. You'll still live in the tools yourself, write the code when the harness falls short, and teach by showing. You'll be measured by who's using agents well now who wasn't before.

Salary Range: $235,000–$260,000 USD/year

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

Location: San Francisco, CA (SF HQ). Hybrid, onsite 3+ days a week.

Job Type: Full-Time

Experience: 4+ years

Work Authorization: Open to candidates already authorized to work in the US. We also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US.

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. 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 the internal AI stack: the agent harnesses, configs, shared skills, and model routing every team uses. Set them up, keep them sharp, and ship changes as the tools change

Start with the revenue team. Learn how they actually work, find the jobs an agent should be doing, and get them running on it, then go team by team

Bring people who barely use agents along. Sit with them, build their first real workflow together, handle the skepticism and the "I'm faster doing it myself" honestly, and stay on it until it sticks

Work from our token spend data. Find who's burning tokens without output and who isn't using enough, then fix both. The second problem is usually the bigger one