Technical Cofounder / CTO | AI & ML PreSeed Startup

Description

Technical field service is limited by how much expertise can reach a job. The company is building AI that spreads that expertise and improves with every visit and every job.

The company is in stealth mode, building a copilot that guides technicians through each job like a senior craftsman, before, during and after the work.

The product is developed with direct access to thousands of technicians at a leading European real estate partner. Each feature is tested on real jobs, and results come in days rather than months.

Backed by the company. The founding team is based in Berlin. The MVP has been built and tested with technicians, and the company is moving toward a spin-out and first funding.

The long-term goal is to become Europe's leading field service intelligence layer.

Responsibilities

• The MVP is built and tested. The company now needs a hands-on co-founder and CTO to design the technology and product that will let it grow.
• Own the whole technology stack: architecture, roadmap, build-versus-buy decisions, reliability and security.
• Turn the tested MVP into a production-grade product that technicians use daily in the field.
• Build dependable AI workflows and repeatable integrations with customer systems, such as work orders and asset data.
• Keep improving the machine learning core: retrieval over manufacturer and expert knowledge, multimodal input such as photos and voice, and diagnostic reasoning.
• Design the learning engine that gets smarter with each visit by capturing, reviewing, evaluating and reusing confirmed outcomes. This is the basis of the company's knowledge advantage.
• Set up evaluation, safety and monitoring, including expert-reviewed benchmark cases, grounding, escalation paths and regression tests.
• Build a UX and UI that technicians want to use every day.
• Spend time with technicians in the field and turn their feedback into product changes within days.
• Recruit and lead the engineering team as it grows.
• Help shape strategy, culture and investor conversations as a co-founder, alongside the founding team.

Requirements

• Machine learning experience, ideally 3+ years applying it in production products, for example with LLMs, retrieval or RAG, NLP, computer vision or model evaluation.
• An entrepreneurial mindset: you want to build a company, not only a product, and you take full ownership, act quickly and are comfortable with ambiguity.
• You have led the technical build of a product from zero to one, for instance as tech lead or founding engineer.
• Hands-on software engineering across backend, APIs, data pipelines and cloud. You still write and ship code yourself.
• Sound technical judgement: you understand the limits of LLMs, know how to test them and know when not to use them.
• Product empathy: you like learning from users in the field and making complex work simple.
• Fluent German and English. German is needed to work with technicians and technical source material.
• A master's degree in Computer Science, Machine Learning or AI, Data Science, Mathematics, Physics, Electrical Engineering or a closely related quantitative field.
• A 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 such as security, GDPR and multi-tenant SaaS.
• A 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.

Conditions

Based in Berlin, with a hybrid and flexible setup.

Full-time, with a start as soon as possible.

Benefits

• Competitive pay, including a meaningful equity stake as co-founder.
• A true co-founder position, with ownership of the technology and real influence over where the company goes.
• Early access to a partner with thousands of technicians and real repair data from day one, which feeds a system that learns from every job.
• A tested MVP and a clear route to spin-out and funding.
• Access to the company's network across technology, design and growth.
• Work with real-world impact: helping close the skilled-trades gap in Europe.