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Technical Cofounder / CTO | AI & ML PreSeed Startup

Founders FactoryBERLIN / GERMANY, GermanyFull-timeSalary not listed · Typical pay in GermanyPosted Nov 3, 2026

Founders Factory is hiring for the position of Technical Cofounder / CTO | AI & ML PreSeed Startup in BERLIN / GERMANY, Germany. It is listed as a full-time position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Founders Factory is hiring for the position of Technical Cofounder / CTO | AI & ML PreSeed Startup in BERLIN / GERMANY, Germany. It is listed as a full-time position with hybrid working.

Reading the advert, the employer asks for German and English language skills.

Skills and tools named in the text include Azure, machine learning, NLP, computer vision, B2B and SaaS.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

Benefits mentioned in the advert: equity or stock options.

The advert does not mention visa sponsorship. If you would move to Germany for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on Arbeitnow on Nov 3, 2026.

Employer
Founders Factory
Location
BERLIN / GERMANY, Germany
Work mode
hybrid
Job type
Full-time
Pay
Not stated by the employer
Languages asked
German and English
Found
Nov 3, 2026 on Arbeitnow
Employer text
626 words, about 3 min to read
Skills named in the advert
Azuremachine learningNLPcomputer visionB2BSaaS
Before you apply
  • Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (Azure, machine learning, NLP and computer vision) in your CV where you really have them; applicant tracking systems look for these words.
  • Say your level in German and English plainly (for example B2 or C1).
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 3, 2026
Pay benchmark
Average wage, Germany
EUR 54,840 average / year

Source: OECD Average annual wages, 2025

Cost of living · Berlin
79.8 vs New York = 100

UN living-cost index for Berlin (ICSC post adjustment 40.2), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • EU Blue Card: Recognised degree and a job offer above the salary threshold
  • Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
  • Opportunity Card (Chancenkarte): Points-based job search for up to one year

Official routes: Make it in Germany (Federal Government portal)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01About 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.

02The 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.

03What 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

04What 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

05Nice 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

06What 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

07Location & start

  • Berlin / hybrid, flexible

  • Full-time; start as soon as possible

Find more English Speaking Jobs in Germany on Arbeitnow

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