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Working Student (f/m/d) Strategy & Business Development (AI Taskforce)

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EMP:Sales
München
Tiempo Completo
Remoto
0 vistas

Descripción

Your missionEveryone's talking.

Acerca de

AI

We decide how it actually gets used across the company.

A $400 billion market.

A profitable scale-up rethinking it with AI and a global freelance network.

And in the middle of it, a team that doesn't primarily write code - it decides what AI should actually deliver: for more than 25,000 Talents in over 70 countries, through automation and smarter processes.

We're looking for you as a Working Student (f/m/d) Strategy & Business Development for our cross-functional strategic taskforce, based at our headquarters in Munich-Schwabing.

You'll work at the intersection of strategy, business and AI - as a sparring partner for AI engineers, product and operations experts, and a former BCG consultant.

Not as another engineer on the team, but as the person who makes sure the team builds the right thing.

This isn't a typical working student role for techies.

You'll structure problems, build business cases, evaluate AI applications from a business perspective, and translate between what's technically possible and what's strategically right.

The concepts you work on don't end up in a drawer - they get prototyped, discussed, and feed directly into our leadership team's decisions.

What You'll Actually DoAI strategy, not AI code: You'll work on strategic AI initiatives like our Talent Assistant or AutoQA 2.

0 (AI-based voice file analysis) - not as a developer, but as someone who structures.

Requisitos

, sets priorities, and turns early ideas into solid feature concepts

Our AI engineers handle the technical build; you make sure they're building the right thing.

Ideas become decisions: You'll analyze complex questions, build business cases using classic case logic, and develop decision-making material for our leadership team.

Your analysis directly influences which AI initiatives get greenlit.

AI needs structure: Large language models are only as good as the data behind them.

You'll define competency frameworks and evaluation logic that make our A.

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