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
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