Responsibilities

Vision & Strategy - 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.
• Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis.
• Translate AI capabilities into compelling, differentiated product visions that define market categories.
• Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement.
• Leadership & Collaboration - 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.
• Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale.
• Foster a culture of rapid experimentation and learning that becomes a competitive advantage.
• Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially.
• Execution & Prioritization - Plan, initiate, and manage information technology projects for web-based products, applications, and platforms.
• Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale.
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
• Technical / Analytical / Design - Use AI-enabled tools to build products-setting the standard for PM technical capability.
• Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier.
• Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes; lead strategic technical decisions with engineering leadership.
• Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity.
• Communication - Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.).
• Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
• Measurement & Impact - 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.
• Design sophisticated experiments and interpret results (leveraging AI) and drive strategic product decisions.
• 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