Salary Range: $130,000-$180,000/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: Up to 0.10%
Location: San Francisco, CA (Hybrid) OR Remote
Job Type: Full-Time (SF) OR Contract (Remote)
Experience: 2+ years
About Firecrawl
Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we've hit millions in ARR and 70k+ GitHub stars by building the fastest way for developers to get LLM-ready data.
We're a small, fast-moving, technical team building essential infrastructure for the AI era. We value autonomy, clarity, and shipping fast.
About the Role
We're looking for an AI Engineer to own the technical side of our partnerships motion. Your mission: make Firecrawl the default web data API that AI agents and tools reach for. You'll work directly with emerging AI-native companies - writing prompts, building evals, and ensuring Firecrawl integrations just work.
What You'll Do
Craft and iterate on prompts that help AI agents reliably choose and use Firecrawl for web data tasks
Build evaluation frameworks to test prompts across different models, use cases, and edge cases - then iterate relentlessly based on results
Be the technical partner contact in Slack channels, helping partners implement Firecrawl into their products and troubleshoot issues in real-time
Test obsessively - new models drop, agent architectures evolve, and you're on top of how Firecrawl performs across all of them
Create integration guides and templates that make it dead simple for partners to ship Firecrawl-powered features
Identify new partnership opportunities by understanding how AI tools are using web data and where Firecrawl fits
Collaborate with Product and Engineering to surface partner feedback and shape the roadmap
Who You Are
2+ years working with LLMs - you've written production prompts, understand model quirks, and know what makes agents tick
You ship code. Python, TypeScript, whatever - you can build evals, write scripts, and prototype integrations quickly
You're a clear communicator who can help non-technical partners implement technical solutions
You thrive in ambiguity - partnerships are messy, timelines shift, and you figure it out
You're responsive and reliable - when a partner pings in Slack, you're on it
Bonus: You've worked at an AI-native company or have experience with agent frameworks (LangChain, CrewAI, OpenAI Agents SDK, etc.)
Bonus: You've done developer relations, solutions engineering, or technical partnerships before
Benefits & Perks
Available to all employees
Salary that makes sense - $130,000-180,000/year OTE (U.S.-based), based on impact, not tenure
Own a piece - Up to 0.10% 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 moms and dads
Wellness stipend - $100/month for the gym, therapy, massages, or whatever keeps you human
Learning & Development - Expense up to $150/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
Intro Chat (~25 min)
Technical Deep Dive (~45 min)
Paid Work Trial (1-2 weeks)
Decision
If you're an AI engineer who lives in Slack, obsesses over prompt quality, and wants to make Firecrawl the infrastructure layer for AI agents everywhere - let's talk.
