Technical Program Manager, Office CEO

Technical Program Manager, Office of the CEO

Join to apply for the Technical Program Manager, Office of the CEO role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$167,000/yr – $230,000/yr

The Meta Superintelligence Lab (MSL) is at the forefront of pioneering AI technologies aimed at bringing people and businesses closer together on a global scale. As a TPM in this specialized area, you will partner at the cross-section of Support, Engineering and Product teams. Being a TPM at Meta signifies driving significant impact by delivering measurable results across various domains. You will be responsible for helping to define and guiding high-level goals, and monitoring and communicating progress, and outlining functional requirements for programs.

This role demands a technical background, some understanding of system architecture, and the experience to effectively collaborate across different functions and organizations to achieve impact. You will partner to drive strategy and implementation of solutions to support the MSL teams. These roles are integral to various teams including Ads, Business Integrity, Monetization, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Facebook Home, Marketplace, Watch, Groups, Stories, Search, Product Foundation, and Instagram, among others.

As a MSL TPM, you will tackle unique challenges ensuring a frictionless operational experience. You will also play a critical role in mission‑critical cross‑organizational or Meta‑wide initiatives.

• Manage cross‑functional program execution within a matrix organization.
• Contribute to roadmap and long‑term strategies for the teams you collaborate with.
• Design measurements to track impact and drive internal process improvements.
• Articulate the technology, requirements, goals, and milestones pertinent to the team you support.
• Develop and manage end‑to‑end project plans to ensure on‑time delivery, providing daily coordination and quality assurance for tasks.
• Drive alignment within a flat organization by working in concert with other technical program managers, product managers, and engineers across Meta to establish a shared vision for improving execution and building solutions.
• Maintain ongoing communication of planning, project status, issues, and risks in a timely fashion to stakeholders.
• Help drive product decisions to align with higher company initiatives.
• 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.

• B.S. in Computer Science or a related technical discipline, or equivalent experience.
• 10+ years of experience in software engineering, systems engineering, or technical product/program management.
• Experience in defining strategic direction and identifying new opportunities for impact across products, platforms, and programs.
• Proficiency in understanding user needs, gathering requirements, and defining scope.
• Experience operating autonomously across multiple teams and functions, demonstrating critical thinking and thought leadership.
• Communication experience at the executive level and proven experience in influencing leadership and technical management teams to develop systems, solutions, and products.
• Demonstrated experience in organizational, coordination, and multi‑tasking abilities.
• Analytical and problem‑solving experience with large‑scale systems.
• Experience establishing working relationships across multi‑disciplinary teams and with multiple partners in different time zones.
• Experience working with product teams to build and deliver end‑to‑end customer‑focused products, coupled with technical knowledge of the underlying platforms and technologies.

• Familiarity with the AI product lifecycle, from research and prototyping to deployment and scaling.
• Exposure to AI/ML concepts, tools, and workflows (e.g., basic understanding of model development, data pipelines, or AI product deployment).
• Prior…