Product Engineer
US$235,000 – US$260,000 / yr base salary
Posted 10 Aug 2026
Advertised as “Product Engineer - Alexandria”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$235,000 – US$260,000 / yr |
|---|
Product Engineer - Alexandria
You'll build the Exchange: the system that takes a signed data partnership and makes it live, metered, and billable through Firecrawl's API. The thing that matters most for this role is that you actually care about the problem. The web is being rebuilt around AI, and the people who make the web still have no good way to get paid when it happens. We think that is fixable, and the Exchange is our answer to it: permissioned access a developer can call in one line and a source can genuinely earn from. If the future of how the web gets accessed and paid for is something you want to spend your time on, this is the role. Past that, the bar is the same as any product engineer here: a very good engineer with real product sense who owns what they ship. You'll ship real product from day one, not tickets in a backlog.
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. You've owned production data or integration systems end to end
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 187k+ 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.