AI Hiring Index

Firecrawl · Operations · Senior · Posted 2026-09-08

Senior Commercial & Product Counsel

Firecrawl · San Francisco, CA · $301k–324k base

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Job description from Firecrawl's careers page.

Senior Commercial & Product Counsel

You'll own Firecrawl's commercial and product legal work end to end. Every enterprise deal, data-licensing agreement, and vendor relationship that gets signed here will run through you, and every product and engineering team shipping into new legal territory will come to you first. This is not a role where you review other people's paper and send back comments. You'll negotiate directly with counterparties, sit next to sales and BD while deals are live, advise engineers on data access and AI questions nobody has settled yet, and build the templates, playbooks, and processes that let the company move faster without taking on risk it shouldn't.

This is the second legal hire at Firecrawl. The General Counsel sets legal strategy, risk posture, and policy. You make it real and make it run. The questions are genuinely novel: who owns AI-generated output, what data access is permissioned and by whom, how liability works for infrastructure that other AI companies build on. Very few lawyers get to work on these this early.

Salary Range: $301,000–$324,000 USD/year, plus eligibility for up to $50,000 USD in semi-annual performance bonuses, totaling up to $100,000 USD annually

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

Location: San Francisco, CA (SF HQ). On-site, five days a week.

Job Type: Full-Time

Experience: 5–8 years of sophisticated commercial, technology, or product counseling experience

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.

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 183k+ 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 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.

What You'll Do

What We're Looking For

What We're NOT Looking For

A Note On Pace

We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.

If you're a strong lawyer looking for an interesting escape from BigLaw, this is the one. It won't be boring, and you'll build skills at the absolute frontier of AI and the legal profession.

Benefits & Perks

Available to all employees

Available to US-based full-time employees

Available to SF-based employees

Interview Process

Application Review: Send us your resume and a short note on why this excites you. Tell us about a deal you owned, what you fought for, and what you gave up.

Intro Chat (~25 min): A quick conversation to get to know each other before we go deep. What you've been working on, what drew you to Firecrawl, and what you're looking for. Time for your questions too.

Case Chat (~45 min): We'll work through a real problem from our world, a data-licensing structure or an enterprise redline where the standard position doesn't fit, and talk through how you'd approach it. Come ready to think out loud. We care how you reason, not whether you know the market term.

Redline Exercise (Paid, ~90 min): One scoped, realistic document. You mark it up and give us a short read on the two or three issues you'd actually escalate.

Founder Chat (~25 min): Culture, pace, ownership, and how you like to work. Time for your questions too.

Decision: We move fast after the exercise.

If you want to build the commercial and product legal function for the infrastructure layer of AI, and do it before anyone has written the playbook, you should join us.

👉 Apply now.

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