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About the Role
You'll be the engineer who gets customers live and winning fast. When a company signs on with Firecrawl, you're the one who lands in their environment, wires up the integration, and turns "we bought it" into "it's in production and working." This is a hands-on, customer-facing engineering role measured in time-to-value and adoption, not tickets closed. You build, you deploy, you own the outcome.
Responsibilities
- Own customer onboarding end to end: land in their environment, scope the integration, and get them to production fast
- Get hands-on with the product against real customer data, build the integration and solve the problems that block go-live
- 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 a successful launch into adoption and expansion, and partner with the revenue team to hit team targets
- Be the trusted technical voice during rollout, 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
Requirements
- You've done implementation, 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 integration yourself
- You've taken customers from signed to live in production, and can point to the technical work that made the rollout 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 integration against real data than perfect a doc
- 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.
Skills
- Implementation
- Forward-deployed engineering
- Solutions engineering
- Customer-facing engineering
- Developer tools
- API integration
- AI infrastructure
- Reading code
- Using APIs
- Building integrations
- Technical discovery
- Customer support
- Product development
Location
- San Francisco, CA
Work Type
- Hybrid
- On-site required
- Full-Time
Experience Level
- 3+ years in a customer-facing technical role or equivalent
Salary/Compensations
- $180,000 to $240,000/year OTE
Benefits
- Competitive 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 $1000/year for learning and development
- Team offsites
- 3 paid months off after 4 years (sabbatical)
- 100% medical, dental, and vision coverage for employees, 50% for spouse/kids
- Employer-paid short-term disability, long-term disability, and life insurance
- Optional accident, critical illness, hospital indemnity, and voluntary life insurance
- Doctegrity telehealth
- 401(k) plan
- Pre-tax benefits (FSAs and commuter benefits)
- Pet insurance
- Snacks, drinks, team lunches, intense ping pong, and peak startup energy
- E-Bike transportation loaner
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 - 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 150k+ 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.