Agent Experience Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
- Design and ship A/B tests across agent-facing surfaces - MCPs, CLIs, skills, APIs, documentation - to see how agents actually use Firecrawl
- Turn experiment results into shipped product improvements, fast
- Track emerging agent tools, models, and harnesses (Hermes, OpenClaw, and whatever’s next) closely enough to know what they mean for us
- Form hypotheses about how agents discover, interpret, and select tools and capabilities, then test them in production
- Operate independently in a space that doesn’t have a playbook yet - own the problem end to end
- Bring scientific rigor to product development without turning it into a research project
Requirements
Firecrawl is looking for a high-agency, product-minded engineer with strong experimental and data instincts to own how agents discover, understand, and use Firecrawl. You’ll ship fast, run rigorous A/B tests, and turn what you learn into a better product - for an audience that isn’t human.
This is not a pure research or data science role. We want an engineer who brings scientific rigor to product development: forming hypotheses, running experiments, analyzing results, and shipping better agent experiences. Prior agent experience is valuable, but raw engineering ability, shipping velocity, and learning speed matter most., 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., * A track record of shipping high-quality products fast - not prototypes, not decks
- Comfort designing A/B tests, reading behavioral data, and acting on what it tells you
- Familiarity with agent-facing surfaces: MCPs, CLIs, skills, APIs, documentation
- You actively follow emerging AI tools, models, and harnesses - Hermes, OpenClaw, whatever’s next
- Genuine curiosity about how agents select tools, interpret capabilities, and interact with products
- High agency - you can operate independently in a space that doesn’t have a playbook yet
- Often an ex-founder, early startup engineer, prolific open-source contributor, or someone with impressive public work, * Someone looking for a pure research or data science role - this is a shipping job first
- Someone who needs a mapped-out roadmap before they can move
- Someone who treats experimentation as a report to write rather than a lever to pull
- Someone excited by agents in theory who hasn’t actually built for them
Benefits & conditions
- Salary that makes sense - $235,000-$260,000/year, 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 resume and a link to something you’ve built. We care about what you’ve actually shipped, 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 Chat (~45 min) - We’ll walk through something you’ve built and a real agent-experience problem from our world. Come ready to think out loud; we care how you reason and experiment, not whether you know the “right” answer going in.
Founder Chat (~25 min) - Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1-2 weeks) - Ship something real with the team, paid at a contractor rate. It’s the truest signal for both sides: you see what building at Firecrawl actually feels like, and we see how you operate.
Decision - We move fast after the trial.
If you want to define how agents experience the web, from the ground up, you should join us.
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 175k+ 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Never delegate the understanding
Navigating the AI Shift
A 5-Step Open-Source Setup for Agentic Engineering
Dev Digest 184: Happy Agents, Vibe Hacking & You Don't Need JavaScript!