Technical Product Manager - Metiq / AI

Technical Product Manager for MetLife's Composite AI Platform (MetIQ), responsible for defining and driving the platform's vision, strategy, and evolution. The role focuses on balancing business outcomes with scalable, secure, and responsible AI capabilities, partnering with various teams to translate enterprise priorities into a cohesive platform strategy and roadmap. Key responsibilities include product strategy, technical product leadership, roadmap management, use case intake, governance, Responsible AI enablement, cross-functional alignment, and adoption metrics.

What you'd actually do

  1. Own the end‑to‑end product vision and strategy for MetIQ, aligning platform capabilities with Global Technology priorities and Responsible AI principles.
  2. Translate customer, partner, and business needs into clear technical problem statements, platform capabilities, and product requirements.
  3. Own and maintain the MetIQ product roadmap, ensuring transparency of priorities, dependencies, and sequencing across stakeholders.
  4. Lead the demand intake and use‑case onboarding strategy, ensuring alignment to platform standards, architectural patterns, and Responsible AI requirements.
  5. Partner with governance, risk, legal, and compliance teams to ensure MetIQ enables compliance by design, not as an afterthought.

Skills

Required

  • 8+ years of experience leading enterprise-scale technology or platform products in large, matrixed organizations.
  • Demonstrated success as a Product Manager for technically complex products (platforms, data, AI, cloud, integration, or developer-facing products).
  • Proven ability to balance business value, technical feasibility, and long-term platform health.
  • Strong executive communication skills, with the ability to translate complexity into clarity.
  • Familiarity with Agile and product-oriented delivery models in enterprise environments.

Nice to have

  • Strong technical fluency: able to reason about system design, APIs, data flows, and architectural tradeoffs (coding not required).
  • Experience working within governance, compliance, and risk-sensitive environments.
  • 3+ years of experience with AI platforms

What the JD emphasized

  • Responsible AI principles
  • governance
  • compliance

Other signals

  • platform strategy
  • enterprise enablement
  • product outcomes
  • roadmap
  • governance
  • Responsible AI