Senior Product Owner: Generative & Agentic AI Solutions

Capgemini; Roma; Ibrido; EUR 70.000 - 120.000; Tempo pieno

Descrizione del lavoro

Capgemini is seeking a Senior Product Owner – Agentic AI to lead the vision, roadmap, and backlog for AI-powered products, blending stakeholder input with technical leadership. You will translate business needs into features, guide MVP through deployment, and work across clients, architects, AI engineers, and data teams to deliver measurable business value.

Candidates should have strong domain knowledge in LLMs, RAG, and cloud platforms, and a proven track record in Agile delivery and

Competenze

• Significant experience as a Product Owner, Product Manager, or technical PM delivering technology products.
• Proven experience developing Generative AI and/or Agentic AI solutions.
• Strong understanding of LLM technologies, RAG, embeddings, AI agents, and tool calling.
• Experience with Agile delivery methodologies and backlog management.
• Knowledge of APIs, cloud architectures, and modern software delivery practices.

Mansioni

• Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions.
• Translate business requirements into product features, user stories, and acceptance criteria.
• Lead products from discovery through deployment and continuous improvement.
• Collaborate with clients, architects, AI engineers, software developers, and data teams to deliver value.

Conoscenze

Product Owner

Product Manager

Agile delivery

Stakeholder management

Communication

Presentation skills

Client-facing

Formazione

Degree in Computer Science

Degree in Information Systems

Degree in Engineering

Degree in Business

Degree in Data Science

Strumenti

Azure

AWS

Google Cloud Platform

Descrizione del lavoro

Capgemini is seeking a Senior Product Owner – Agentic AI to lead the vision, roadmap, and backlog for AI-powered products, blending stakeholder input with technical leadership. You will translate business needs into features, guide MVP through deployment, and work across clients, architects, AI engineers, and data teams to deliver measurable business value.

Candidates should have strong domain knowledge in LLMs, RAG, and cloud platforms, and a proven track record in Agile delivery and