Co-Founder & CTO | AI & ML Startup

Founder & CEO (PreSeed HealthTech) - Clinical Coding Revenue Intelligence @ Founders Factory; Berlin; Hybride; EUR 120 000 - 240 000; Plein temps

Avantages offerts par ce poste

Competitive compensation with equity

Co-founder role with ownership

Early access to real repair data

Mentorship from Founders Factory

Spin-out and funding pathway

Résumé du poste

Founders Factory is seeking a hands-on Co-Founder & CTO to build and scale the technology and product for a field-service AI platform. You will own architecture, roadmap and security, and drive a production-grade MVP used by technicians in the field.

You will lead ML-driven systems, learn from field feedback, and recruit the engineering team as we scale—the role combines technical leadership with strategic co-founder responsibilities.

Qualifications

• Masters in CS/ML/Data Science or related quantitative field.
• 3+ years ML experience in production systems.
• Hands-on software engineering across backend, APIs and data pipelines.

Responsabilités

• Own the technology end-to-end: architecture, roadmap, build-vs-buy decisions.
• Lead MVP to production-grade product used by technicians.
• Develop reliable AI workflows and integrations with customer systems.
• Improve ML core: retrieval, multimodal input, diagnostic reasoning.
• Design learning engine to reuse outcomes and strengthen the knowledge moat.
• Establish evaluation, safety, monitoring, and regression testing.
• Build UX/UI that technicians want to use daily.
• Spend time with field technicians and translate feedback into product.
• Recruit and lead the engineering team as we scale.
• Shape company strategy, culture and investor conversations as a co-founder.

Connaissances

ML experience

Backend engineering

Product empathy

German & English

Formation

Master's degree (CS/ML)/quant field

Outils

Azure

Description du poste

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