AI Product Manager
About The Position
Blink UX is seeking an experienced AI Product Manager for an upcoming six-month engagement supporting a client. The role is onsite five days per week in Columbus, Ohio. The AI Product Manager will define, build, and scale AI-powered products, tools, workflows, and decision-support systems that deliver measurable business impact. The position identifies opportunities for AI to improve productivity, automate repetitive work, enhance decision-making, and enable new organizational capabilities, translating business challenges into high-value AI initiatives ranging from rapid experiments to transformational products and platforms. The role combines strategic product thinking with hands-on technical execution, including building prototypes, evaluating emerging AI technologies, testing models and APIs, and guiding solutions from concept through deployment and adoption. The Product Manager will shape the vision, roadmap, backlog, and business outcomes for enterprise Agentic AI capabilities, working closely with AI engineering, IAM, cybersecurity, architecture, governance, risk, and platform teams to enable secure and scalable adoption.
Requirements
- 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, 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 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.
Nice To Haves
- Experience with enterprise Generative AI or Agentic AI initiatives, including AI agent orchestration platforms.
- Experience with AI governance or responsible AI initiatives.
- Experience with Microsoft Entra ID, enterprise IAM, Zero Trust, and policy-based authorization.
- Experience in cybersecurity or regulated-industry technology environments.
- Experience taking emerging technology products from MVP through enterprise adoption.
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, including 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.
Benefits
- Clear career paths and opportunities for growth.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
