As an AI Product Manager, you will define, build, and scale AI-powered products, tools, workflows, and decision-support systems that drive measurable business impact.

A successful product manager will identify opportunities where artificial intelligence can improve productivity, automate repetitive work, enhance decision making, and unlock new capabilities across the organization. This role will be responsible for translating business challenges into a portfolio of high-value AI initiatives, ranging from rapid experiments and process improvements to transformational products and platforms.

This position goes beyond traditional product management. The ideal candidate combines strategic product thinking with hands-on technical execution, actively building prototypes, evaluating emerging AI technologies, testing models and APIs, and guiding successful solutions from concept through deployment and adoption.

Required Qualifications

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

Preferred Qualifications

• Enterprise Generative AI or Agentic AI initiatives, including 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

Help shape the product vision, roadmap, backlog and measurable business outcomes for enterprise Agentic AI capabilities. Translate business, identity, security and control requirements into prioritized features that enable secure, scalable AI agent adoption, working closely with AI engineering, IAM, cybersecurity, architecture, governance, risk and platform teams.

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 and orchestration
• Define full agent lifecycle requirements: discovery, registration, onboarding, activation, monitoring, dormancy, disablement, retirement and deletion
• Partner with IAM and cybersecurity on workload and agent identities, authentication, authorization, Zero Trust, Microsoft Entra ID and policy-based access controls
• Collaborate with engineering and architecture on 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 to senior leadership