Product Owner – Artificial Intelligence

ZEISS Group

Product Owner overseeing AI projects and collaborating with various ZEISS departments. Leading agile execution from scope planning to results reporting for technical solutions.

Posted 6/20/2026full-timeMünchen • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

In cross-functional teams, you will drive and manage projects in the field of Artificial Intelligence, encompassing Machine Learning (ML), Deep Learning, Generative AI and Agentic AI
Support the preparation and execution of AI projects: from defining scope and roadmap planning, through agile execution, to conducting lessons learned that can be integrated into new projects
As part of a dynamic team, you will engage with users from different ZEISS departments, assess and plan AI-related tasks, and report outcomes and results
Enable our experts to focus on technical, high-quality solutions
Serve as the interface between our technical experts and various ZEISS departments to create outstanding software products.

Requirements

What you’ll need

An excellent university degree (Ph.D. is a plus) in Computer Science, Engineering, Mathematics, Natural Sciences, or equivalent
The ability to understand the technical architecture of AI solutions and state-of-the-art web applications
Experience in feature engineering, unsupervised & supervised learning, prompt engineering, retrieval-augmented generation (RAG), and model deployment and operation in the cloud
A good understanding of balancing innovative flexibility at the edge with the benefits of standardization at the core
At least 3 years of professional experience in project management of AI solutions
Professional experience as a Product Owner
Experience managing project budgets
Experience in stakeholder management
Experience with cloud-deployed AI solutions for clients
The ability to understand customer needs and solve real-world problems
Strong communication, presentation, and project management skills
Basic knowledge of corporate data governance best practices (e.g., working with confidential data)
Fluent English and German language skills

Benefits

Comp & perks

Diversity is a part of ZEISS
Opportunities for further development in a spacious, modern setting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Artificial IntelligenceMachine LearningDeep LearningGenerative AIAgentic AIfeature engineeringunsupervised learningsupervised learningprompt engineeringmodel deployment

Soft Skills

project managementcommunicationpresentationstakeholder managementproblem-solvingteam collaborationflexibilitycustomer needs assessmentlessons learned integrationbudget management

Certifications

Ph.D. in Computer SciencePh.D. in EngineeringPh.D. in MathematicsPh.D. in Natural Sciences