Venture Partner

WhyBrilliant; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

WhyBrilliant is sourcing applicants for a Berlin-based venture studio role that aims to co-found 4–5 AI-first startups each year. You will validate ideas, design initial systems, and spin out high-potential ventures alongside brilliant technical founders.

The role is partner-led with high autonomy, demanding rigorous validation and hands-on product development from 0 to 1. Fluency in English and German is required to collaborate across stages.

Qualifikationen

• Built AI/ML products as founder, engineer, or senior lead.
• Led products from customer discovery to initial paying customers.
• Holds MSc or PhD in Computer Science, ML, or a highly quantitative field.
• Domain depth in Industrial AI, healthcare, robotics, or FinTech.
• Fluent in English and German, both written and spoken.

Aufgaben

• Own product validation and early-stage co-building for 4–5 AI startups annually.
• Validate venture hypotheses with founders and shape product direction.
• Drive 0-to-1 product development from discovery to first paying users.
• Coach founders on early-stage product design and roadmaps.
• Evaluate technical feasibility and market viability of venture concepts.

Kenntnisse

AI/ML product design

Startup scaling

Venture building

Product validation

Ausbildung

MSc/PhD in CS/ML/Quantitative

Jobbeschreibung

WhyBrilliant is sourcing applicants for this role on behalf of a premier Berlin-based venture studio. The hiring company remains confidential until later interview stages.

Venture Studio Investor & Builder (also known as: Venture Partner, Principal – Venture Studio, Head of Venture Building, Investment Director – Venture Studio)

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. 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.

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