The Meta Product Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. Product TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a strong technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact. You will be influencing technical strategy and driving execution on the company-wide platforms and services that are used across Facebook, WhatsApp, Instagram, Messenger, and Reality Labs. Teams span across Ads, Business Integrity, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Platforms for Family of Apps, Groups, Search, Foundation, Infra, the Metaverse, and more. This posting represents different full-time roles across the company.

Responsibilities

Develop and manage end-to-end technical product solutions and ensure on-time delivery
• Manage cross-functional products and programs in a matrix organization
• Help define the roadmap and long-term strategy of the teams that you are working with
• Design measurements to track impact and drive internal process improvements
• Articulate the technology, requirements, goals and milestones of your team
• Collaboratively define the vision for building Meta-scale, state-of-the-art, global products
• Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks
• Identify dependencies and develop mitigation strategies
• Move fast in a flat organization by working in concert with technical program managers and engineers across Meta to establish a shared vision for improving execution and build solutions for privacy and security at scale
• Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders
• Build bridges with product and infrastructure teams to discover adoption challenges, champion purpose use development and privacy/security product adoption
• Help drive product decisions to align with higher company initiative
• Bring a strong sense of execution and ownership to the team
• Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for Meta

Minimum Qualifications
• Bachelor of Computer Science or a related technical discipline, or equivalent experience
• 7+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience
• Experience delivering tech programs or products from inception to delivery
• Knowledge of user needs, gathering requirements, and defining scope
• Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership
• Communication experience and experience working with technical management teams to develop systems, solutions, and products
• Organizational, coordination and multi-tasking experience
• Analytical and problem-solving experience with large-scale systems
• Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zone
• Experience working with product teams to build and deliver end-to-end customer focused products with technical knowledge of the underlying platforms and technologies

Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience developing and scaling program management frameworks or processes that improve execution efficiency across multiple teams
• Experience using data analysis and metrics to define program goals, track progress, and drive decision-making
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience operating in fast-paced environments with loosely defined problem spaces, applying structured frameworks to drive clarity and outcomes
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies