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About the Role
We are seeking a hands-on Co-Founder & CTO to build and scale the technology and product for our AI venture, which aims to guide technicians in field service. You will take our tested MVP to a production-grade product, build reliable AI workflows, and continuously improve our Machine Learning core.
Responsibilities
- 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
- 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
Requirements
- 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
Skills
- Machine Learning
- LLMs
- Retrieval/RAG
- NLP
- Computer Vision
- Model Evaluation
- Software Engineering
- Backend Development
- APIs
- Data Pipelines
- Cloud Computing
- Multimodal AI
- Voice Interfaces
- Decision-Support Systems
Location
- Berlin
Work Type
- Hybrid
- Full-time
Experience Level
- 3+ years of Machine Learning experience
- Experience leading technical build of a product from zero to one
Education Level
- Master’s degree in Computer Science, Machine Learning/AI, Data Science, Mathematics, Physics, Electrical Engineering or a related quantitative field
- PhD in Machine Learning, NLP, Computer Vision, Information Retrieval or a related field (Nice to have)
Salary/Compensations
- Competitive compensation package
- Meaningful co-founder equity stake
Benefits
- 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
- 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
About the Company
- 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
- Product 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.