Meta
Product Management, Director
$249K–$323K
Menlo Park, CA +2 · Director · Full-time · Posted Oct 20, 2026
- Location
- Menlo Park, CA
Seattle, WA
New York, NY - Experience
- 12+ years in Product Management and/or Product Design; 10+ years collaborating with engineering, design, and user research teams; 8+ years hiring, managing, and developing individual contributors and leaders.
- Education
- BA/BS in Computer Science or related field, or equivalent practical experience.
About the job
Leads Meta’s Integrity Measurement team and product, setting strategy for integrity metrics and evolving measurement approaches with AI across Meta products.
What you'll do
- Set product vision and strategy for long-term opportunities across product areas; build alignment with senior leaders and partner organizations.
- Lead and develop product teams through ideation, development, and launch, while scaling responsible AI practices and workflows.
- Define and analyze product metrics, evaluations, and experiments to guide decisions and improve user experience and outcomes.
What they ask for
- 12+ years of experience in Product Management and/or Product Design.
- 10+ years working collaboratively with engineering, design, and user research teams; 8+ years hiring, managing, and developing individual contributors and leaders.
- Experience presenting to senior executive audiences and demonstrating critical thinking/analytical leadership.
- BA/BS in Computer Science or related field, or equivalent practical experience; experience implementing responsible, ethical AI practices.
Nice to have
- Experience building 0-1 products, platform/ecosystem products, or marketplaces.
- Experience in a consumer-focused technology company and integrating AI tools to optimize workflows with measurable impact.
Pay
USD $249,000/year to $323,000/year base salary; bonus and equity amounts not stated
AI focus
Leads AI transformation in product measurement and workflows, including AI-native strategies, evaluations and data strategies, responsible AI practices, AI-enabled experimentation and automation, and ongoing development in prompt/context engineering and agent orchestration.
Model-written summary · the original posting is authoritative