Product Manager (Leadership)

Meta is a company focused on building technologies that help people connect, find communities, and grow businesses. The Product Manager (Leadership) will lead cross-functional teams to innovate and execute product initiatives, while managing and developing a talented team of product leaders.

Responsibilities:

• 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 leaders with a broad range of experiences, perspectives, approaches, and backgrounds
• Establish shared vision across the company by building consensus on priorities leading to product execution
• Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction
• Define and analyze metrics that inform the success of products
• Understand Facebook’s strategic and competitive position and deliver products that are recognized best in the industry
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
• Manage multiple products and priorities, scale teams, and ensure org is effective, healthy and set up for success by establishing clear and measurable goals
• Identify and initiate opportunities for new projects or focus areas and builds teams necessary to execute

Requirements:

• 12+ years of experience in Product Management and/or Product Design
• 12+ 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
• Experience in a consumer focused technology company
• Experience building 0-1 products, platform/ecosystem products, or marketplaces
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies