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

• 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/matching logic, invoicing, and PDF generation.
• A polyglot microservices fleet, with a shrinking Hack/HHVM legacy core and a growing set of services in Node.js and Go, each independently versioned, containerized, and deployed via Helm to Kubernetes
• A real CI/CD pipeline: GitLab CI building images with Kaniko, tag-based semver releases (nightly unstable builds, stable releases promoted through dev to test to a manually gated prod), and cross-service pipeline triggers when a shared dependency publishes
• Scheduled workloads at scale: a couple dozen CronJobs per environment (reminders, payout checks, stat rollups, token refreshes, media polling), each independently schedulable, tunable, and killable without redeploying the whole service
• Money movement: a ledger service backing real balances and payouts
• A scraper fleet: services that scrape platforms which actively fight back (rate limits, bot walls, reshaped responses), running on their own schedule with their own failure modes
• A newer AWS/serverless edge: internal tooling and some integrations are moving onto Lambda/API Gateway/DynamoDB. This is where a lot of new, greenfield work is happening

• You use AI tools openly, as your default way of working, to read and understand an unfamiliar service fast, not just to generate new code. Half the job is "what does this cron job actually do and what breaks if I touch it," and AI is how you get that answer in minutes instead of a day
• You verify before you trust: you'd catch a plausible but wrong AI suggestion before it ships
• You can operate across languages and layers without needing to be a specialist in all of them, including ones you don't know yet
• You respect the promotion pipeline. You don't route around dev to test to prod because it's slower

Angular and React on the web frontend, native iOS in SwiftUI, a Node/TypeScript application server, Node.js and Go for newer backend services, a legacy Hack/HHVM core we're winding down, Kubernetes, Helm, GitLab CI, Docker, a Formance-based ledger, WebSockets, cron-driven scheduled workloads, and a growing AWS serverless layer (Lambda, API Gateway, DynamoDB, S3/CloudFront)

You're a strong fit if..

• You've operated real distributed systems, not just built a monolith and called it done.
• You're just as comfortable tracing a bug from a UI symptom (web or native) down through the application server into the backend that caused it as you are building the fix on either end
• You're comfortable being dropped into someone else's code, in a language you may not know, with real production traffic on it, and using AI tools plus your own judgment to figure out how it actually behaves
• You're honest about uncertainty. "I don't know, let me check the logs" beats a confident guess, from you or your AI tools

• Any prior Hack (or R) experience. Nobody on the team learned either on purpose, and we're actively phasing both out
• A portfolio of AI-free work. We're not testing whether you can code without tools, we're testing whether you build good software, in a real system

This is a rare opportunity to build at the intersection of AI, creator technology, and consumer products.

WePush is backed by experienced operators from companies including Spotify, Google and many more. We’re entering our next phase of growth with the ambition, speed, and ownership of a startup, but with a proven product and strong market traction.

As an AI Product Engineer, you won’t be sitting on the sidelines. You’ll work closely with the founders and product team to turn new AI capabilities into products used by brands and creators at scale.

• Competitive salary and meaningful equity package
• High ownership from day one with the freedom to ship, experiment, and influence product direction
• Direct access to founders and leadership with fast decisions and minimal bureaucracy
• A team of builders: Ambitious, pragmatic, and obsessed with moving fast
• An in-person culture in our Berlin office, with flexibility for home office days
• Public transport pass, gym membership, recurring team lunches, and other perks
• A front-row seat to building a category-defining technology company

Regardless of who you are, where you come from, how you look, or what music is playing in your headphones, you are welcome.

If you are a builder and move fast, this role is for you.

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