Product Manager
Responsibilities
Is the primary driver for identifying and shaping transformative, long-term opportunities across multiple large Product areas or portfolios, setting vision and strategy that influences Meta's broader organizational and industry direction.
• Generates buy-in and drives consensus across multiple organizations and senior leadership, bringing clarity and structure to highly ambiguous, company-level opportunities; consistently demonstrates initiative and executes with minimal oversight, often setting new standards.
• Drive product development with teams of engineers and designers, while maintaining team health.
• Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones.
• Orchestrate complex execution across multiple organizations.
• Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
• Define and analyze metrics that inform the success of products.
• Identify and track key performance metrics.
• Drive decision-making through user insights, quantitative analysis and AB testing.
• Define and run evaluations (evals) to interpret model outputs at scale-establishing evaluation as a strategic capability for AI-powered experiences.
Minimum Qualifications
• 12+ years of experience in Product Management and/or Product Design
• 12+ years of experience working collaboratively with engineering, design and user research teams
• Critical thinking/analytical leadership experience
• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale
• Experience developing and championing AI-native strategies across organizations
• Experience presenting to senior executive audiences
• BA/BS in Computer Science or related field
Preferred Qualifications
• Experience in a consumer focused technology company
• Experience building 0-1 AI-native products, platform/ecosystem products, or marketplaces
• Track record of scaling AI best practices across organizations
