Technical product manager

AI Product Owner | DAX 40 Enterprise | Generative AI & Agentic Systems | Cologne (Hybrid)

AI Futures have been retained to find an AI Product Owner for a major German enterprise investing heavily in Generative AI, Agentic AI and intelligent automation initiatives.

This is a highly visible role focused on defining and delivering AI products that create measurable business impact across customer experience, operational efficiency and digital transformation programmes.

Hybrid: 3 days per week in Cologne

Package: Up to €120k

The Role

• Own the vision, strategy and roadmap for AI-powered products and platforms.
• Work closely with engineering, data science and business teams to define product requirements and priorities.
• Drive the development of Generative AI, Agentic AI and intelligent automation solutions.
• Translate business challenges into scalable AI product opportunities.
• Define MVPs, manage product backlogs and prioritise features based on business value.
• Lead stakeholder workshops and align technical teams with business objectives.
• Monitor adoption, performance and ROI of AI initiatives.
• Act as the key interface between technical delivery teams and senior leadership.

The Candidate

• Experience as a Product Owner, Product Manager or AI Product Owner delivering technology products.
• Strong understanding of Generative AI, LLMs, RAG, AI Agents or intelligent automation technologies.
• Experience working with software engineering, AI or data science teams.
• Strong stakeholder management and communication skills.
• Experience managing product roadmaps, backlogs and agile delivery processes.
• Ability to balance commercial priorities, user requirements and technical constraints.
• German and English language skills required.

Desirable Experience

• Exposure to LangChain, LlamaIndex, Semantic Kernel, Microsoft Copilot Studio or similar AI ecosystems.
• Experience delivering AI solutions within large enterprise environments.
• Understanding of AI governance, compliance and responsible AI frameworks.
• Background in software engineering, data science or machine learning environments beneficial.

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