AI Engineer (Partnerships)

Firecrawl is seeking an AI Engineer to lead the technical aspects of our partnerships. Your primary goal is to establish Firecrawl as the preferred web data API for AI agents and tools. This involves collaborating directly with emerging AI-native companies, crafting and refining prompts, developing evaluation frameworks, and ensuring seamless Firecrawl integrations. You will also be responsible for creating integration guides, identifying new partnership opportunities, and providing real-time technical support to partners.

Must Have

• Craft and iterate on prompts for AI agents
• Build evaluation frameworks to test prompts
• Be the technical partner contact for implementation and troubleshooting
• Test Firecrawl performance across models and agent architectures
• Create integration guides and templates for partners
• Identify new partnership opportunities
• Collaborate with Product and Engineering on feedback and roadmap
• 2+ years working with LLMs and production prompts
• Ability to ship code (Python, TypeScript)
• Clear communication skills for technical solutions
• Ability to thrive in ambiguous environments
• Responsiveness and reliability

Good to Have

• Experience at an AI-native company
• Experience with agent frameworks (LangChain, CrewAI, OpenAI Agents SDK)
• Experience in developer relations, solutions engineering, or technical partnerships

Perks & Benefits

• Competitive salary ($130,000-180,000/year OTE U.S.-based)
• Equity (Up to 0.10%)
• Generous PTO (15 days mandatory, flexible after 24 days)
• 12 weeks fully paid parental leave
• $100/month wellness stipend
• Up to $150/year for learning & development
• Team offsites
• 3 paid months sabbatical after 4 years
• Full medical, dental, and vision coverage (100% for employees, 50% for spouse/kids) for US-based full-time employees
• Employer-paid short-term disability, long-term disability, and life insurance for US-based full-time employees
• Supplemental insurance options for US-based full-time employees
• Doctegrity telehealth for US-based full-time employees
• 401(k) plan for US-based full-time employees
• Pre-tax benefits (FSAs, commuter benefits) for US-based full-time employees
• Pet insurance for US-based full-time employees
• SF HQ perks (snacks, drinks, team lunches, ping pong) for SF-based employees
• E-Bike transportation loaner for SF-based employees

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

1. Application Review

2. Intro Chat (~25 min)

3. Technical Deep Dive (~45 min)

4. Paid Work Trial (1-2 weeks)

5. 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.