AI Product Manager

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AI Product Manager

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GenAI Products / AI Platforms / Enterprise AI Adoption

Role purpose

Define, prioritize, and deliver AI and GenAI products that solve high-value business problems while satisfying enterprise requirements for risk, security, compliance, usability, adoption, and operational readiness. The role connects business strategy with AI capabilities and measurable outcomes.

Primary ownership

• AI product vision, roadmap, use-case prioritization, business case, and success metrics.
• Product discovery, MVP definition, pilot planning, adoption, measurement, and lifecycle management.
• Cross-functional delivery alignment across business, AI engineering, research, architecture, risk, compliance, legal, cybersecurity, and UX.

Key responsibilities

• Define product vision, strategy, roadmap, and success metrics for AI and GenAI products across business and enterprise functions.
• Identify and prioritize use cases based on value, feasibility, data readiness, risk profile, user impact, and strategic alignment.
• Translate business needs into product requirements, user stories, acceptance criteria, operating requirements, and measurable outcomes.
• Manage product lifecycle from discovery, experimentation, MVP, pilot, production rollout, adoption, monitoring, and continuous improvement.
• Partner with AI engineers, researchers, data teams, architects, UX, risk, compliance, legal, cybersecurity, and business stakeholders.
• Define KPIs such as adoption, productivity gain, cost reduction, cycle-time reduction, accuracy...