Agent Experience Engineer
About the role
Firecrawl is seeking a high-agency, product-minded engineer to own how agents discover, understand, and use Firecrawl. The role focuses on shipping fast, running rigorous A/B tests, and turning results into product improvements for agent-facing experiences, rather than pure research or data science.
Responsibilities
- 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
Qualifications
- 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
Skills
Benefits
- Salary: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)
- Competitive equity
- Generous PTO: 15 days, plus more as needed
- 12 weeks parental leave (fully paid)
- Wellness stipend: $100 USD/month
- Learning & Development: up to $1,000 USD/year
- Team offsites
- Sabbatical: 3 paid months off after 4 years

About Firecrawl
The web data API for AI
Firecrawl is a web data infrastructure platform that converts websites into clean, structured data optimized for AI applications through a simple API. Originally built as an internal tool at Mendable to solve their own data ingestion challenges, the team recognized the broader need for reliable web data extraction and transformed it into a standalone product. The platform combines web search, scraping, and AI-powered parsing into a unified solution, focusing on the core developer priorities of reliability, speed, and ease of use. By abstracting away the complexities of web data extraction, Firecrawl serves as the foundational data layer that enables AI applications to seamlessly access and process web content in the exact format they need.
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