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About the Role

Firecrawl is seeking its first full-time in-house lawyer to own legal across the business as the company scales. This role involves partnering with revenue teams on customer contracts, MSAs, and DPAs, and managing the legal landscape of web scraping and public data sourcing, licensing, and serving. It's a hybrid role requiring collaboration with engineers and commercial teams, reporting to the Head of Finance and Legal.

Responsibilities

• Structure customer contracts (MSAs and Order Forms) so risk lands in the right place across copyright, data access, and privacy — and so we can serve different types of data to different customers safely
• Own the legal side of our partnership and content licensing deals, structuring them so risk lands in the right place
• Become Firecrawl's expert on the web scraping and public-data legal landscape (crawling, robots.txt, ToS, access case law), and turn that expertise into a competitive advantage
• Work directly with engineering on how we source and serve data — the technical-compliance side, not just the paperwork
• Advise the founders and Head of Finance and Legal on risk, structure, and strategy as we scale through a Series B and beyond
• Build the legal infrastructure — templates, playbooks, and processes — that lets a small team move fast

Requirements

• 6+ years practicing, with real exposure to data/IP, privacy, and technology transactions
• You know the web scraping / public data legal terrain cold, or you're hungry to go deep on it fast
• You're as comfortable in a conversation with engineers about how data flows as you are redlining a contract
• You can structure a deal so the risk sits where it should, across copyright, data access, and privacy
• You're comfortable being the only lawyer in the room and making the call
• You translate legal complexity into clear, practical guidance for a fast-moving team
• Someone who wants to own the legal frontier of web data — where the contract and the crawler meet — and turn it into an edge instead of a liability

Skills

• Data/IP
• Privacy
• Technology Transactions
• Web Scraping
• Public Data Legal Landscape
• Copyright
• Data Access
• Contract Redlining
• MSAs
• DPAs

Location

• San Francisco, CA
• Remote (Americas, UTC-3 to UTC-10)

Work Type

• Hybrid
• Full-Time

Experience Level

• 6+ years practicing

Salary/Compensations

• $225,000–$265,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside SF and the U.S. is adjusted fairly based on your cost of living.)
• $220,000–$265,000/year, based on impact, not tenure

Benefits

• 0.02%–0.04% equity
• 15 days mandatory PTO, anything after 24 days, just ask (holidays excluded)
• 12 weeks fully paid parental leave
• $100/month wellness stipend
• Up to $1,000/year for Learning & Development
• Team offsites
• 3 paid months off after 4 years sabbatical
• Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) (US-based full-time employees)
• Employer-paid short-term disability, long-term disability, and life insurance (US-based full-time employees)
• Optional accident, critical illness, hospital indemnity, and voluntary life insurance (US-based full-time employees)
• Doctegrity telehealth (US-based full-time employees)
• 401(k) plan (US-based full-time employees)
• Pre-tax benefits — Access to FSAs and commuter benefits (US-only)
• Pet insurance
• Snacks, drinks, team lunches, intense ping pong, and peak startup energy (SF-based employees)
• E-Bike transportation (SF-based employees)

About the Company

• 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.
• Hit 8 figures in ARR in year one and more than doubled it in year two.
• Have 145k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day.
• A small team punching far above our weight, where everyone owns a real piece of the product and company, end to end.
• A place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on.
• Move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.