Meta
Director, Product Management - Agents and Intelligence
$249K–$323K
Menlo Park, CA · Director · Full-time · Posted Sep 28, 2026
- Experience
- 12+ years in Product Management and/or equivalent relevant experience; 12+ years working collaboratively with engineering, design, and user research teams; 8+ years hiring, managing, and developing individual contributors and senior leaders.
- Education
- BA/BS in Computer Science or related field
About the job
Leads product strategy and execution for agentic analytics capabilities that reason over data, complete analytical workflows, and help Meta teams turn questions into decisions.
What you'll do
- Set the strategy and roadmap for agent reasoning, orchestration, skills, memory, tool use, and workflow execution.
- Develop reusable agents that can complete increasingly complex analytical work and improve through evaluation and production feedback.
- Align cross-functional teams and own measures of task success, answer quality, impact, reliability, and efficiency.
What they ask for
- 12+ years of experience in Product Management and/or equivalent relevant experience.
- 12+ years working collaboratively with engineering, design, and user research teams.
- 8+ years hiring, managing, and developing individual contributors and senior leaders.
- Critical thinking/analytical leadership experience; experience presenting to senior executive audiences; BA/BS in Computer Science or related field.
Nice to have
- Experience with Agentic products and workflows, analytics/enterprise cloud data platforms, or 0-1, platform/ecosystem, or marketplace products.
- Experience applying AI tools and responsible AI practices to redesign workflows and achieve measurable impact; ongoing AI skill development.
Pay
$249,000/year to $323,000/year (base salary)
Tools
frontier models, specialized or distilled models
AI focus
Build agentic analytics systems that reason over data and context, plan and execute analytical workflows, learn from feedback, and take appropriately governed action. Make product and technical tradeoffs among models and deterministic systems, and improve quality, reliability, and efficiency.
Model-written summary · the original posting is authoritative