Description

Key Responsibilities

- Define the Agentic AI product vision, roadmap, MVP scope, priorities, success measures and business outcomes.
- Own epics, features, user stories, acceptance criteria, Definition of Done and backlog prioritization in Jira; support PI and sprint planning.
- Drive requirements for autonomous and On-Behalf-Of agent patterns, multi-agent interactions, orchestration and the full agent lifecycle.
- Define lifecycle requirements covering discovery, registration, onboarding, activation, monitoring, dormancy, disablement, retirement and deletion.
- Partner with IAM and cybersecurity teams on workload and agent identities, authentication, authorization, Zero Trust, Microsoft Entra ID and policy-based access controls.
- Collaborate with engineering and architecture teams across APIs, integrations, identity flows, telemetry and enterprise platforms.
- Coordinate dependencies across AI Engineering, IAM, Cybersecurity, AI Governance, Risk, Architecture and platform teams.
- Communicate business value, decisions, milestones, risks and dependencies clearly to senior leadership.

Required Skills and Experience

- 10+ years of overall experience with strong experience as a Product Owner or Technical Product Owner for complex enterprise technology products.
- Practical understanding of Agentic AI, including AI agents, autonomous and On-Behalf-Of patterns, orchestration, multi-agent interactions and lifecycle management.
- Working knowledge of IAM and identity security, including workload identities, authentication, authorization, least privilege, Zero Trust, Microsoft Entra ID and policy-based access.
- Strong Agile/Scrum and Jira experience, including roadmap management, epics, features, stories, acceptance criteria, backlog prioritization, PI planning and sprint planning.
- Technical fluency across APIs, integrations, telemetry, identity flows, enterprise platforms and distributed systems.
- Proven cross-functional leadership and concise executive communication skills.

Preferred Experience

- Enterprise Generative AI or Agentic AI initiatives and AI agent orchestration platforms.
- AI governance or responsible AI initiatives.
- Microsoft Entra ID, enterprise IAM, Zero Trust and policy-based authorization.
- Cybersecurity or regulated-industry technology environments.
- Taking emerging technology products from MVP through enterprise adoption

Key Skills

Education

Bachelor's degree