Product Engineer, Data Exchange & API Monetization

Location: San Francisco, CA or Toronto, ON (on-site, 5 days a week)

Visa: Sponsorship and transfers supported (H1B, TN, OPT). Relocation help available.

About the company

Our client is a fast-growing AI data infrastructure company. Its API turns any web page into clean, LLM-ready data with a single call, and AI agents and some of the best-known AI companies build on it every day. The company reached eight-figure ARR in its first year, more than doubled it in year two, and recently closed a large Series B. Its open-source project is one of the most-starred repositories on GitHub.

The team is about 40 people across SF and Toronto. Everyone owns a real piece of the product and works without layers of process. Code shipped on Monday is usually in customers' hands by Friday.

The role

The company is building the largest data library for AI. You'll own its data exchange end to end: getting data partnerships live and making them metered and billable through the API. You'll report directly to the CTO/co-founder and have a lot of autonomy. You'll write the code and also decide what gets built.

What you'll do

Take signed data sources from nothing to live, metered access that developers can call through the API
Build and run the metering, billing, and entitlements behind the exchange
Ship integrations that connect outside data providers to the platform
Talk directly with customers, find the real need behind each request, and decide what to build
Own product strategy for the exchange, working closely with the founder
Work with other engineering teams, since the data library touches several products

What we're looking for

3–8 years as a product engineer, backend engineer, or integrations engineer
A strong product sense. You've shipped products to production that got real traction and made hard calls along the way.
Hands-on experience shipping developer-facing or customer-facing products (not only internal tools)
Experience owning production data or integration systems end to end, such as pipelines, third-party data feeds, or metering and billing infrastructure
Startup experience. You're comfortable with ambiguity and speed.
Strong TypeScript. Next.js and Node/Express are a plus.
Interest in AI agents and automation
Comfortable talking with customers directly
Able to work on-site 5 days a week in SF or Toronto

Nice to have

Production experience building usage-based billing, metering, or entitlements systems
Background in data partnerships or API monetization
CS degree (not required)

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