Co-Founder & CTO | AI & ML Startup

About this role

About us Expertise is the bottleneck in technical field service. We are building the AI that makes it scale – and learns from every visit, from every job. Stealth-mode AI venture building a copilot that guides technicians at every job like an experienced master craftsman – before, during and after every job Built in the field, not behind closed doors: our product is developed with direct access to thousands of technicians with a leading European real estate industry partner – every feature is tested on real jobs, with results in days instead of months Backed by Founders Factory; founding team in Berlin, MVP built and tested with technicians, now heading towards spin-out and first funding Vision: Europe’s leading field service intelligence layer.

The role We have built and tested our MVP. Now we are looking for a hand-on Co-Founder & CTO who builds the technology and product that grows and scales the company. What you will do Own the technology end to end: architecture, roadmap, build-vs-buy decisions, reliability and security Take the tested MVP to a production-grade product used daily by technicians in the field Build reliable AI workflows and repeatable integrations into customer systems such as work orders and asset data Continuously improve the Machine Learning core: retrieval over manufacturer and expert knowledge, multimodal input (photo, voice) and diagnostic reasoning Design and build the learning engine that makes the product smarter with every visit: capturing, reviewing, evaluating and reusing confirmed outcomes – the core of our knowledge moat Set up evaluation, safety and monitoring: expert-reviewed benchmark cases, grounding, escalation and regression testing Build a state-of-the-art UX/UI that technicians want to use every day Spend time with technicians in the field and turn their feedback into product within days Recruit and lead the engineering team as we scale Shape the company as a co-founder: strategy, culture and investor conversations alongside the founding team What you bring Master’s degree in Computer Science, Machine Learning/AI, Data Science, Mathematics, Physics, Electrical Engineering or a related quantitative field Machine Learning experience, ideally 3+ years applying it in production products (e.g.