← Firecrawl

Agent Experience Engineer

Region: Canada   San Francisco HQ; Toronto Hub

Why we labeled it Region
Location field: "San Francisco HQ; Toronto Hub"
Salary: $235K – $260K
Skills: LLM, Agents

Apply on Firecrawl's site →

Agent Experience Engineer 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. Salary Range: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto) Equity Range: Competitive equity. Details shared during the process. Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). Hybrid, onsite 3+ days a week. Job Type: Full-Time Experience: 5+ years Work Authorization: Open to candidates already authorized to work in the US or Canada. In the US, we also support H-1B transfers, F-1 OPT and STEM OPT, TN (Canada and Mexico), and E-3 (Australia). We’re not able to sponsor new H-1B visas for candidates outside the US. For Canada, we’ll consider work permit sponsorship case by case through our Toronto Hub. About Firecrawl 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. It's the boring-hard problem everyone building with LLMs eventually hits, solved. In September 2026, we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 192k+ GitHub stars, putting us in the top 40 repositories of all time, 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. That library is called Alexandria, and it starts now. What You'll Do 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 Own the problem end to end, from question to shipped answer Bring scientific rigor to product development without turning it into a research project What We're Looking For 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 What We're NOT Looking For 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 A Note On Pace We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you. Benefits & Perks Available to all employees Salary that makes sense: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto), 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 USD/month for the gym, therapy, massages, or whatever keeps you human Learning & Development: Expense up to $1,000 USD/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 partner and kids). No weird loopholes, just care that works Life & Disability insurance: Employer-paid basic life and AD&D, short-term disability, and long-term disability. Coverage for life's curveballs Virtual care and a health guide: Teladoc for the couch doctor visit, plus Rightway to answer coverage questions and fight billing errors for you Mental health: Talkspace, therapy and psychiatry on your schedule Fertility and family building: Carrot, covering you and your partner EAP: Free confidential counseling, legal and financial consults, and online will prep through Guardian 401(k) plan: Retirement might be a ways off, but future-you will th