Implementation Specialist

• 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, * A pure backend engineer who doesn’t want to be in front of customers
• A project manager who coordinates rollouts but can’t build
• Someone who needs a fully-built playbook before they can run

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

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., * You’ve done implementation, forward-deployed, solutions, or customer-facing engineering, ideally at a developer, API, or AI-infra product

• 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

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, Application Review - Send us your work and a quick note on why this excites you. Tell us about a customer you got live in production and the technical problems you solved to get there. We care about what you’ve done, 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 & Customer Scenario Interview (~55 min) - We’ll walk through a real customer scenario: how you’d scope an implementation, handle a live technical question, and get an account to production. We’re looking for technical depth, customer instincts, and how you think about time-to-value - not rehearsed pitches.

Founder Chat (~25 min) - Culture, pace, ownership, and how you like to work. Time for your questions too.

Paid Work Trial (1-2 weeks) - Take on a real, scoped customer scenario with the team, paid at a contractor rate. Build an integration, scope a rollout, or run a technical discovery. It’s the truest signal for both sides: you see what the role actually feels like, and we see how you operate. We’ll flex around your current commitments.

Decision - We move fast after the trial.

If you want to be the engineer who gets customers live and keeps them winning at one of the fastest-growing AI infrastructure startups, this is your shot.

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., 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 170k+ 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., * 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

Backgrounds that often do well: Implementation or onboarding engineers at API/devtools companies. Solutions engineers who owned the full lifecycle from signed deal to production. Technical account managers who actually built things. Ex-founders who sold and delivered their own product.