Senior AI Product Manager Central Platforms

Meta

Boise (ID)

On-site

USD 205,000 - 277,000

Full time

8 days ago
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Job summary

Meta is seeking highly effective Product Managers to drive AI-enabled product initiatives at scale. You will lead cross-functional teams across engineering, design, data science, and research to identify opportunities, develop roadmaps, and translate AI capabilities into differentiated product visions.

The role emphasizes rigorous tradeoff analysis, executive collaboration, and continuous improvement of AI-native workflows across the organization.

Qualifications

  • Demonstrated proficiency using AI-enabled tools to build product artifacts at scale.
  • 10+ years of experience working with engineering, design and user research teams.
  • Experience in product management and/or product design.
  • Champion AI-native strategies across organizations.
  • Experience presenting to executive audiences.
  • Full product life-cycle experience with customer feedback integration.

Responsibilities

  • Identify opportunities and drive product roadmaps in line with organizational goals.
  • Translate AI capabilities into compelling product visions.
  • Drive development with engineers and designers while maintaining team health.
  • Define requirements, coordinate resources, and guide milestones.
  • Foster rapid experimentation and measure outcomes with data.
  • Lead strategic technical decisions with engineering leadership.
  • Apply rigorous analysis and model evals to inform product strategy.

Skills

AI-enabled tools
Executive presentation
Analytical leadership
Product strategy
Cross-functional collaboration

Education

BA/BS in Computer Science

Tools

AI tooling

Job description

Meta is seeking highly effective Product Managers to drive AI-enabled product initiatives at scale. You will lead cross-functional teams across engineering, design, data science, and research to identify opportunities, develop roadmaps, and translate AI capabilities into differentiated product visions.

The role emphasizes rigorous tradeoff analysis, executive collaboration, and continuous improvement of AI-native workflows across the organization.

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