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Dataleap seeks a hands-on Full-Stack AI Engineer in Munich to work with our largest DACH customers. You will embed with customer teams, scope impactful workflows, and ship agentic systems that run in production. Expect deep collaboration with CTOs and platform teams, and a bias for high ownership.
You will also contribute to our core product, writing fixes when platform gaps arise and automating your own tasks with production-grade agents.
We raised $3M from YC and angels like Aravind (CEO Perplexity) and Rahul Vohra (Superhuman) to build the agentic operating system for the enterprise. Thousands of agents deployed, doubling revenue every month. Far more enterprise inbound than we can handle.
You are the engineer on the ground at our biggest DACH customers, based in Munich, working hand in hand with our Deployment Strategist.
When a multibillion-dollar company decides to go AI-native with Dataleap, you show up at their office, sit with their teams, find the workflows that matter, and ship agents that run in production. You scope, build, integrate, debug, and teach. You leave behind systems the customer can own. Then you do it again at the next account.
Part forward-deployed engineer, part founding engineer, part technical sparring partner for the customer's CTO. End-to-end. No PM. No spec. You walk into ambiguity and ship.
You also build on our core product. When you hit a platform limitation at a customer, you don't file a ticket, you work directly with engineering to close the gap, most often by writing the fix yourself.
We index on energy, values, and slope — not years of experience.