AI-Driven Product Manager: Lead Cross-Functional Impact

Meta

New York (NY)

On-site

USD 130,000 - 180,000

Full time

10 days ago

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Job summary

Meta Product Managers collaborate with engineers, designers, data scientists and researchers to build impactful products. They define success metrics, prioritize problems, and guide roadmaps to achieve goals while keeping the team healthy.

The role emphasizes gathering user insights, analyzing data, and coordinating across functions to align roadmaps. Candidates should demonstrate experience driving measurable outcomes, ethical AI practices, and strong communication across leadership and peers.

Qualifications

  • 3+ years product management or related industry experience.
  • Experience leading cross-functional product teams and delivering milestones.
  • Ability to analyze data and apply insights to decisions.
  • Experience integrating AI tools to optimize workflows.
  • Understanding of responsible AI practices including bias mitigation.
  • Ongoing AI skills development (e.g., prompt engineering) and awareness of new AI technologies.

Responsibilities

  • Drive one or more product projects within a product area and define success metrics.
  • Develop roadmaps with cross-functional teams and resolve blockers.
  • Gather user research, product insights, and market analysis to inform decisions.
  • Coordinate across functions to align roadmaps and communicate progress.

Skills

Product management
Cross-functional teamwork
Data analysis
AI tools usage
Ethical AI practices
AI prompt engineering

Education

Bachelor's degree or relevant degree

Job description

Meta Product Managers collaborate with engineers, designers, data scientists and researchers to build impactful products. They define success metrics, prioritize problems, and guide roadmaps to achieve goals while keeping the team healthy.

The role emphasizes gathering user insights, analyzing data, and coordinating across functions to align roadmaps. Candidates should demonstrate experience driving measurable outcomes, ethical AI practices, and strong communication across leadership and peers.

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