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Hi, I'm Marcel. After leading product and growth teams at Taxfix, Amboss, and Meta, I’m building Levered: the optimization layer that helps AI-first products test, learn, and adapt automatically. I’ve raised a pre-seed round, have paying customers, and am hiring the first engineer to build the product with me in Berlin (€80–120k, 1–3% equity).

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About Levered

Levered builds infrastructure for products that improve themselves.

Generative AI made it cheap to create endless product variations. The bottleneck has moved to knowing what actually works.

Product teams still rely on A/B tests, which are slow, manual, and unusable without large sample sizes. Levered replaces this with a real-time optimization system that continuously generates, evaluates, and adapts product experiences based on live user behavior. Instead of shipping static experiments, products improve dynamically while users interact with them.

We've raised a pre-seed from top-tier funds and operators from Nvidia, Meta, and OpenAI, and we already have paying customers.

The role

You'll be the first engineer on the team — a rare chance to shape the product, the architecture, and the engineering culture from day one. You'll work directly with me and own large parts of the product end to end.

You will:

• Build core product infrastructure across Python, Next.js, data systems, and runtime inference
• Design evaluation systems, context memory, and feedback loops
• Integrate Levered into customer products and coding-agent workflows
• Talk to users and turn messy feedback into shipped features
• Make early architecture and stack decisions
• Ship to production constantly

You might be a fit if

• You've built and shipped real products from 0 to 1
• You are a full-stack generalist who likes working outside your comfort zone
• You have strong product judgment, not just strong technical execution
• You have worked with data pipelines, warehouses, experimentation, analytics, or ML/inference systems