Senior Software Engineer

You'll write the code that turns Firecrawl users into Firecrawl revenue. Signup and activation belong to our product growth team. Your surface starts the moment a developer is already using us and asks: should this person be paying more, and what's stopping them? You'll own the monetization funnel end to end: pricing pages, plan and upgrade flows, usage-based upsell, trial-to-paid conversion, and the self-serve path that hands a growing account to the sales team at exactly the right moment. This is full-stack engineering measured in revenue, not features. You'll report to our VP of Deployment and own real conversion outcomes from day one.

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

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+ years as a full-stack engineer, with growth/PLG experience and metrics you personally owned

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 monetization surfaces end to end: pricing, plans, upgrade flows, and the self-serve to sales handoff

Instrument the revenue funnel, run pricing and packaging experiments, and ship the changes that move paid conversion and expansion

Treat paid conversion and net revenue retention as your number. You own it, measure it, and move it

What We're Looking For

You've personally owned a revenue metric (paid conversion, upgrade rate, expansion, or NRR), and moved it, not just shipped features someone else measured

You're a strong full-stack engineer who's worked on growth or PLG products

You've personally owned a conversion, activation, or funnel metric, and moved it, not just shipped features someone else measured

You think like a scientist: hypothesis, experiment, measure, iterate. You've run real A/B tests you can talk about, including what you learned when they didn't go as planned

You've worked on developer-facing products (SDKs, playgrounds, docs surfaces, APIs) and understand how developers actually adopt tools

You have a track record of staying with your work long enough to see it through. We look for real tenure, not a trail of short stints

You move fast and close the loop. You'd rather ship, measure, and iterate than perfect on paper