AI Product Engineer (Fullstack)

We believe talent is everywhere. The chance to live from it isn't.

Millions of creators are talented and invisible at the same time. The value they create flows to middlemen, while the brands who want to reach them are stuck in a non-transparent, fragmented market. So we built the tools to fix both sides at once.

Creators turn an account into an income: join a campaign in minutes, make something they're proud of, and get paid fairly for creativity, not follower count. Brands brief once, activate hundreds of creators, and see content live within 24 hours.

Next year, 10,000 creators will make a living from WePush. When a creator earns, a brand grows. When a brand grows, more creators earn. WePush is the fastest-growing creator marketing platform in Europe, with over 150,000 creators and 500,000+ collaborations powering brands like L'Oréal, ABOUT YOU, Zalando, and Sony Music. Two numbers matter to us: how many people make a living through WePush, and how many millions of people brands reach through them.

*Technical Overview:

*We run on a real distributed system: Angular and React frontends, a native iOS app, a Node/TypeScript application server handling booking and matching logic, a fleet of independently deployable backend services on Kubernetes, a real-time layer, a ledger that moves actual money, and a small army of scrapers. We're looking for a Fullstack AI Product Engineer who is comfortable moving across all of those layers and who uses AI agent tools as genuine leverage. We use these tools daily to read unfamiliar services, ship changes, and move fast.

Tasks

What you'll actually work on:

A native iOS app: SwiftUI, rewritten natively

Web Frontend: our marketplace apps are built in Angular, and newer internal tooling is React.

An application server layer: a Node/TypeScript service sitting between the frontend and the backend fleet, handling booking, scheduling/matc