Venture Partner

Das ist der Job

The environment values intellectual honesty, low ego, and a high tolerance for parallel context switching.

Darum lohnt es sich

Joining our partner‑led team, you'll bridge this divide — working directly with brilliant technical founders at the absolute zero‑to‑one stage to validate hypotheses, design initial systems, and spin out high‑potential AI enterprises.

Team members are encouraged to bring their own ideas, test them quickly, and refine them through close collaboration.

The offer Extreme operational autonomy to run validation experiments and back your own ideas High‑density talent environment alongside peer partners and top‑tier technical founders Document‑based, low‑ego culture designed to minimize useless meetings Direct contribution to the creation and architecture of multiple deep tech companies This probably isn’t for you if You prefer focusing on a single product for years rather than context‑switching across domains You want to manage large, established teams rather than roll up your sleeves on 0‑to‑1 startups You require structured corporate hierarchies and struggle with high ambiguity Venture Studio Investor & Builder We are a premier Berlin-based AI venture studio launching the next generation of deep tech companies.

We're looking for a builder who wants to transition from scaling their own startups to systematically co-founding 4–5 AI companies a year. Why this role matters The gap between breakthrough machine learning models and viable commercial products is wider than ever.

What you’ll do You’ll own product validation, early‑stage co-building, and investment readiness for 4–5 new AI‑first startups every year.

Identify, attract, and vet world‑class technical founders at the pre‑incorporation stage Partner hands‑on with founders during ideation to validate venture hypotheses and define product direction Drive the 0‑to‑1 product development lifecycle from customer discovery to securing first paying users Coach and mentor technical founders on early‑stage product design and building roadmaps Evaluate and stress‑test the technical feasibility and market viability of inbound venture concepts Who this is a fit for Built and shipped AI/ML products as a founder, early engineer, or senior lead Guided products from raw customer discovery to securing initial paying customers Holds an MSc or PhD in Computer Science, Machine Learning, or a highly quantitative field Domain depth in Industrial AI, Healthcare, Robotics, or FinTech Fluent in both written and spoken English and German What it’s like to work here Partner‑led with high individual autonomy and heavy async, document‑based collaboration.