You'll build the systems that let Firecrawl's support scale faster than its headcount. As thousands of developers build on us, the way we support them has to get smarter, not just bigger. This is a full-stack engineering role on the Support Engineering team: you'll build the internal tools, automations, and AI-assisted workflows that make support fast and effective, and you'll ship product improvements that cut tickets at the source by making Firecrawl clearer and easier to use. You'll report to our Head of Support Engineering and own real systems from day one.
Salary Range: $205,000–$250,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)
Equity Range: Competitive equity — details shared during the process.
Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)
Job Type: Full-Time
Experience: 4+ years as a full-stack engineer, ideally building internal tools, automations, or developer-facing systems
Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.
About FirecrawlFirecrawl 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 147k+ 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.
What You'll DoBuild the internal tools and automations that make support fast, accurate, and scalable
Ship AI-assisted support workflows that deflect, triage, and resolve issues faster
Fix problems at the source: ship product and DX improvements that stop tickets before they happen
Turn recurring support pain into engineering solutions the whole team relies on
Work close to real developer problems and close the loop between support and product
You're a strong full-stack engineer who likes building tools other people depend on
You've built internal tools, automations, or developer-facing systems that got used every day
You think about leverage: how one system can save a team hundreds of hours
Bonus for experience building with LLMs in production (prompt engineering, tool use, inference pipelines) or with support/DX tooling
You move fast and close the loop - you'd rather ship, measure, and iterate than perfect on paper
Someone who sees support tooling as beneath "real" engineering
An engineer who wants to stay far from the actual customer problems
Someone who needs a fully-specced ticket to start
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.
Benefits & PerksAvailable to all employees
Salary that makes sense — $205,000–$250,000/year, 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
Available to US-based full-time employees
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
Available to SF-based employees
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
Interview Process
Application Review — Send us your work and a quick note on why this excites you. Show us tools, automations, or systems you've built that people actually used. We care about what you've built, not where you went to school.
Intro Chat (~25 min) — A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.
Technical Chat (~45 min) — We'll dig into a real problem from our world: how you'd build a tool or automation to scale a support workflow, or ship a fix that kills a class of tickets. Come ready to think out loud; we care how you reason, not whether you memorized the answer.
Paid Work Trial (1-2 weeks) — Build a real, scoped tool or fix with the team, paid at a contractor rate. It's the truest signal for both sides: you see what building at Firecrawl actually feels like, and we see how you ship. Remote-friendly, and we'll flex around your current commitments.
Decision — We move fast after the trial.
If you want to build the systems that let a small team support the developers shaping the future of AI, you should join us.
👉 Apply now.