Product Manager, Central Product

At Meta

At Meta, we're shaping innovative experiences in service of giving people the power to build community and bring the world closer together. Our multidisciplinary product teams are creating new ways to help people connect, find communities, and grow businesses. Together, we are committed to building innovative technologies — Facebook, Instagram, Messenger, WhatsApp, Workplace, Meta Quest, and more — to serve billions of people around the globe. Meta Product Management Leaders work with cross-functional teams of engineers, designers, data scientists, and researchers to build products. We are looking for extremely entrepreneurial Product Management Leaders to help innovate and execute product initiatives across the company, value moving quickly, and drive AI transformation across their organizations. This job description represents different full-time roles across our suite of products and platform.

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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.