Co-Founder & CTO | AI & ML Startup

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. LLMs, retrieval/RAG, NLP, computer vision, model evaluation) • Entrepreneurial mindset: you want to build a company, not just a product – full ownership, bias for action and comfort with ambiguity • Experience leading the technical build of a product from zero to one, e.g. as tech lead or founding engineer • Strong hands-on software engineering across backend, APIs, data pipelines and cloud – you still build and ship yourself • Sound technical judgement: you know the limits of LLMs, how to test them and when not to use them • Product empathy: you enjoy learning from users in the field and making complex work simple • Fluent German and English – German is needed for working with technicians and technical source material NICE TO HAVE • PhD in Machine Learning, NLP, Computer Vision, Information Retrieval or a related field • Previous founder or early-stage startup experience • Experience with Microsoft Azure and enterprise B2B requirements (security, GDPR, multi-tenant SaaS) • Background in field service, industrial, maintenance or proptech software • Experience with multimodal AI, voice interfaces or decision-support systems • Experience hiring and leading engineering teams WHAT WE OFFER • Competitive compensation package, including a meaningful co-founder equity stake • A true co-founder role with ownership of the technology and a real say in the direction of the company • An unfair head start: a cooperating partner with thousands of technicians and real repair data from day one – the fuel for a system that learns from every job • A tested MVP and a clear path to spin-out and funding • Support from Founders Factory’s network across tech, design and growth • A mission with real-world impact: helping close the skilled-trades gap in Europe LOCATION & START • Berlin / hybrid, flexible • Full-time; start as soon as possible HOW TO APPLY • Send your CV or LinkedIn profile with a short note on why you want to build this company with us and an example of Machine Learning work you have shipped