Venture Capital Investor (Berlin)

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

Benefits dieser Stelle

Autonomy in validation experiments

Low-ego collaboration

Direct impact on AI ventures

Zusammenfassung

Merantix Capital in Berlin seeks a Venture Capital Investor to validate early-stage AI startups and prepare them for investment readiness. You will own product validation, co-building with founders, and guide 0-to-1 product development for multiple ventures yearly.

Fluent English and strong quantitative background; MSc/PhD in CS/ML preferred. Anonymity of roles is sometimes used; this position is hosted by WhyBrilliant and involves partnering with Nova's networks.

Qualifikationen

• MSc or PhD in Computer Science, Machine Learning, or a highly quantitative field.
• Fluent in English; native or professional German speaking is a strong plus.

Aufgaben

• Own the product validation, early-stage co-building, and investment readiness for 4-5 new AI-first startups each year.
• Identify, attract, and vet world-class technical founders at the pre-incorporation stage.
• Partner with founders during ideation to validate venture hypotheses and define product direction.
• Drive the 0-to-1 product development lifecycle from customer discovery to first paying users.
• Coach and mentor technical founders on early-stage product design and roadmaps.

Kenntnisse

Venture capital

Diligence

Founders coaching

Product validation

Market analysis

Ausbildung

MSc in Computer Science

PhD in CS/ML

Jobbeschreibung

WhyBrilliant is sourcing applicants for this role on behalf of Merantix Capital. The company's identity may stay confidential until first contact. Atlas, our AI Recruiter, is running this search and will pick the best candidates from Nova's network. The next step is to speak to Nova.

The Role

Job Title: Venture Capital Investor (Berlin)

Company: Merantix Capital — Building and investing in AI since 2016.

Location: Berlin, Germany

Why this role matters

The gap between breakthrough machine learning models and viable commercial products is wider than ever. 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.

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 English; native or professional German speaking is a strong plus.

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. Encourages team members 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 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 want to manage large, established teams rather than roll up your sleeves to build 0-to-1 startups.
• You require structured corporate hierarchies and struggle with high levels of ambiguity.

Who are Atlas & Nova?

I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support.

And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate.

How does this work?

Nova is an AI agent for job searching and career coaching. She works for you.

Atlas is the AI recruiter working for the company. He recruits from Nova's network.

If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives.

We never post fake jobs

This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network.

Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it.

Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free.

This job is hosted on whybrilliant.com.