Product Owner – Artificial Intelligence

Stellenbeschreibung:

Responsibilities

  • 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

  • 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

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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Jul 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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