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.
• Set the standard for critically evaluating when AI is (and isn't) the optimal solution across product portfolios.
• Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide excellence.
• Lead a team through the ideation, technical development, and launch of innovative products.
• Drive product development with a team of world-class engineers and designers.
• Attract, build, manage, and develop a talented team of product managers and product leaders with a broad range of experiences, perspectives, approaches, and backgrounds-with emphasis on AI-native capabilities.
• 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 for the organization.
• Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so organizational capability compounds over time.
• Orchestrate complex execution across multiple teams and organizations by combining AI automation with strategic human oversight.
• Maximize efficiency in a constantly evolving environment where the process is fluid and innovative solutions are the norm.
• Set expectations for PM technical capability, including use of AI-enabled tools to build products.
• Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction.
• Ensure teams understand system/architecture trade-offs and how they impact user experience and business outcomes.
• Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for executive, engineering, and cross-functional audiences.
• Define and analyze metrics that inform the success of products.
• Establish evaluation (evals) as a first-class product practice across teams for AI-powered experiences.
• Drive decision-making through user insights, quantitative analysis, and AI-accelerated experimentation.
Minimum Qualifications
• 12+ years of experience in Product Management and/or Product Design
• 10+ years of experience working collaboratively with engineering, design and user research teams
• 8+ years of experience hiring, managing, and developing both individual contributors and senior leaders
• Critical thinking/analytical leadership experience
• Experience presenting to senior executive audiences
• BA/BS in Computer Science or related field
