Routine Labs is a Berlin-based AI startup building automation infrastructure for regulated industries.

We combine LLM-based workflow generation with deterministic execution in production. The result is automation that is testable, auditable and reliable rather than a black box.

Our first focus is healthcare, but our ambition is broader: building the foundation for how automation can scale reliably across complex IT environments.

We are a funded early-stage startup, built by a team with experience in starting and scaling companies.

We are hiring for this position as either a Working Student or an Intern, depending on your availability.

Working Students can start immediately
Interns would typically join in the summer
Working Student hours: 16–20 hours per week during the semester
During semester breaks, there is the option to increase to up to 40 hours per week

You will work closely with the leadership team at the intersection of market analysis, strategy and data-driven decision-making.

Tasks

Market Research

Analyse market segments
Structure TAM, SAM and SOM models
Identify and prioritise ICP clusters
Conduct competitive and pricing analyses
Track and assess regulatory developments

Analytics & Business Intelligence

Build structured market and sales datasets
Analyse funnels and track conversion metrics
Develop ROI and business case models
Build KPI dashboards in Google Sheets
Prepare data for investor and board reporting

Strategic Support

Challenge and validate key assumptions
Model expansion scenarios
Prepare decision frameworks for the founder team

You will gain direct exposure to real early-stage strategy and work on the analytical foundation behind key company decisions.

Requirements

You:

Have some initial experience in business analytics, or a background in consulting, VC or a startup
Think analytically and are comfortable working with numbers
Build clean, structured models in Google Sheets
Understand business models and unit economics
Can operate well in environments with uncertainty
Ask the question: What do the data actually tell us?

Bonus

Basic Python knowledge
Experience with automation tools such as n8n
Exposure to consulting, venture capital or strategy
First touchpoints with regulated industries

Benefits

Direct collaboration with the founder team
Real responsibility on strategic topics
Flat hierarchies and fast decision-making
The chance to learn in one year what often takes several elsewhere
Real ownership from day one
Hands-on experience building an AI startup

Join the team shaping the strategic and analytical foundation of a company redefining how legacy software gets automated.

We value diverse perspectives and welcome applicants of all genders, identities and backgrounds.

Jobs at Routine Labs

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