Success Engineer

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 - the boring-hard problem everyone building with LLMs eventually hits, solved.

We hit 8 figures in ARR in year one and more than doubled it in year two. We have 175k+ GitHub stars, 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.

• Own the technical health of your accounts: keep customers succeeding, deepen their usage, and catch problems before they become churn
• Get hands-on with the product against real customer data, build integrations and solve the technical problems that keep accounts growing
• Run technical discovery: diagnose where a customer's extraction or pipeline breaks, and know whether it's usage, a bug, or a real product gap
• Turn technical wins into adoption and expansion, and partner with the revenue team to hit team targets
• Be the trusted technical voice for your accounts over their whole lifecycle, and bring what you learn in the field back to product and engineering
• Know when to solve it yourself and when to pull in engineering

• You've done customer success engineering, solutions, forward-deployed, or another customer-facing technical role, ideally at a developer, API, or AI-infra product
• You're technical enough to earn a developer's respect: you can read code, use an API, and build a real POC or integration yourself
• You've owned accounts over time and grown them, and can point to the technical work that drove adoption and expansion
• You check before you build: you can tell user error from a bug from a real product gap, and you don't turn every ask into a custom feature
• You can translate between deep technical detail and business value without losing either audience
• You move fast and close the loop - you'd rather ship a working fix against real data than perfect a doc

• Salary that makes sense — $190,000–$270,000/year (SF, U.S.-based), based on impact, not tenure
• Own a piece — Gain competitive equity in what you're helping build
• Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge
• Parental leave — 12 weeks fully paid, for all parents
• Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human
• Learning & Development — Expense up to $1,000/year toward anything that helps you grow professionally
• Team offsites — A change of scenery, minus the trust falls
• Sabbatical — 3 paid months off after 4 years, do something fun and new
• Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works
• Life & Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs
• Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind
• Doctegrity telehealth — Talk to a doctor from your couch
• 401(k) plan — Retirement might be a ways off, but future-you will thank you
• Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit
• Pet insurance — Because fur babies are family too
• SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy
• E-Bike transportation — A loaner electric bike to get you around the city, on us