Location: San Francisco, CA or Toronto, ON
Work Model: Hybrid, onsite 3+ days per week
Compensation: $235K–$260K USD base in San Francisco / CA$217K–CA$233K base in Toronto + equity
Employment Type: Full-Time
We are a fast-growing AI infrastructure and developer tools company building APIs that turn the web into clean, structured data AI applications and agents can use.
The company has reached significant revenue scale quickly, recently raised a major Series B, and supports a large global developer community. The engineering team remains intentionally small and high-ownership, with engineers responsible for taking products from idea through production rather than working from narrowly defined tickets.
We are looking for a Product Engineer to help build the developer-facing products that turn the messy, constantly changing web into reliable data and actions.
This is hands-on product engineering at the core of the platform. You will ship features used by thousands of developers, own them from idea through production, and work on the difficult problems that sit at the intersection of web scraping, browser automation, APIs, reliability, and developer experience.
The web does not behave nicely. JavaScript-heavy applications, anti-bot systems, authentication flows, dynamic content, proxies, long-running browser sessions, and constantly changing sites all create edge cases. Your job is to make that complexity disappear behind an API developers enjoy using.
Engineers who have worked on:
Experience with companies or products in the web-data, browser-automation, developer-infrastructure, or AI-agent ecosystem can be particularly relevant.
This is not a pure backend infrastructure role where product experience is someone else’s responsibility.
It is also not a narrow browser-internals role where API design and developer experience are outside your scope.
The right person is comfortable moving between the hard technical problems of the web and the product decisions required to turn that complexity into something developers love using.
Candidates must be authorized to work in the United States or Canada.
The company is not currently able to sponsor U.S. visas. Canadian sponsorship may be considered on a case-by-case basis through the Toronto office.
The process typically includes:
This is an opportunity to join a small, fast-moving engineering team building core infrastructure for AI applications and agents while owning a meaningful piece of a rapidly growing developer product.
| Location | San Francisco, California |
| Website | https://mapssg.com |
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