Opis
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. Find Jobs in Germany on Arbeitnow
