About the 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 hands-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
* 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
* 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
* Master’s degree in Computer Science, Machine Learning/AI, Data Science, Mathematics, Physics, Electrical Engineering or a related quantitative field
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
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