Venture Studio Investor & Builder

Das ist der Job

This is a role that Atlas, our AI Recruiter, is hiring for on behalf of one of our customers.

Darum lohnt es sich

By joining our partner‑led team, you will 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.

Encourages team members to bring their own ideas, test them quickly, and refine them through close collaboration. You want to manage large, established teams rather than roll up your sleeves to build 0‑to‑1 startups. He'll pick the best candidates from Nova's network. The next step is to speak to Nova.

Job Title Venture Studio Investor & Builder Location Berlin, Germany Why this role matters The gap between breakthrough machine learning models and viable commercial products is wider than ever. What You'll Do You will own the 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 the ideation phase 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. Possesses 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, heavy async document‑based collaboration. The environment values intellectual honesty, low ego, and high tolerance for parallel context switching. The offer Extreme operational autonomy to run validation experiments and back your own ideas.

High‑density talent environment working alongside peer partners and top‑tier technical founders. Document‑based, low‑ego collaboration 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 diverse domains. You require structured corporate hierarchies and struggle with high levels of ambiguity. #J-18808-Ljbffr