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.