Working Student in Business Operations (mfd)

Who We Are

Were building an AI-first LegalTech company where people focus on thinking systems and decision-making and AI handles the bulk of the execution.

We work quickly deploy often and take a high degree of personal responsibility. No rigid hierarchy no fixed roles no waiting for approval. If somethings missing we build it.

Mission
As Business Operations Working Student you work closely with the founding team on processes data tooling and internal operations. You get a direct view of how an early-stage AI company works and you make sure hands-on that everything runs and keeps moving.

• Build and document our internal processes: how customers get onboarded how suppliers get set up how work gets handed over between teams
• Own our tool stack: keep CRM Notion Slack and spreadsheets clean connected and actually used.
• Automate what shouldnt need a human and flag what does.
• Support the finance side: maintaining reports tracking invoices and payment flows.
• Run people ops end to end: coordinate interviews keep candidates moving help new joiners land well.
• Take on research projects: market and competitor work vendor comparisons whatever question needs answering this week.
• Keep the office running and organise internal and external events.

• Enrolled student for example business administration economics business law or information fields are welcome too.
• Youre a natural multitasker and organiser. Several things run in parallel here and you keep track of all of them without being reminded.
• Youre available for 20 hours a week and can commit reliably including during term time.
• Youre dedicated. You follow things through to the end rather than to the point where they stop being interesting.
• You understand that the best strategies rest on a foundation of execution.
• Youre an early adopter and proactively experiment with AI and automation tools to speed up your work.
• You enjoy solving problems and figuring out how things work on your own.
• You communicate at a business-fluent level in English and German.

• Mentorship from the founders and the wider team with regular feedback rather than a review at the end.
• Full access to the AI tooling we use and encouragement to experiment with it.
• Hybrid setup so you can plan your week around lectures and deadlines
• A subsidised Urban Sports Club membership so you can train wherever you are in the city.
• A view of how an early-stage AI company is built at the point where the decisions are still being made rather than inherited.