Forward Deployed Engineer

You’ll be the engineer customers trust to make Firecrawl work in the real world. When a high-value account hits a hard extraction problem, a messy integration, or a “can it even do this?” question, you’re the one who shows up, digs into their stack, and ships the thing that unblocks them. This is a customer-facing engineering role measured in adoption and expansion, not tickets closed.

You build, you deploy, you own the outcome.

Salary Range: $209,000–$265,000 USD/year OTE

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: 3+ years in a customer-facing technical role or equivalent

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.

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 187k+ Git Hub 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.

• Land inside a customer's environment, understand what they're building, and make Firecrawl work for their actual use case
• Get hands-on with the product against real customer data, build integrations and POCs that turn “not sure this works for us” into production
• 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
• Partner with the Deployment team to turn technical wins into adoption and expansion, and hit team targets
• Be the trusted technical voice for accounts, 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 forward-deployed, solutions, or customer-facing engineering, 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 the full lifecycle for a customer, from demo to POC to production, and can point to the technical work that made it land
• 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 POC against real data than perfect a doc

Backgrounds that often do well: solutions engineers or SEs at API/devtools companies. Customer-facing engineers at…