Meta is seeking an experienced people leader to head program management within the Fleet Operations, Reliability and Central Engineering (FORCE) org. The FORCE organization designs, implements, and continuously evolves the systems and processes by collaborating with Meta's Engineering, Operations, Logistics, and other teams to operationalize new technologies, processes, and innovative automation to operate at a global scale. In this role you will lead a multi-team organization of program managers and frontline managers accountable for the tooling portfolio that supports global provisioning, deployment, and 24x7 fleet operations. You will own the multi-year NPI portfolio for Infra Data Centers (IDC), set the operating model that helps tooling development for hardware NPIs, manage fleet health outcomes, and represent in Infra Data Center (IDC) and Infra leadership forums. In this role you will set direction and priorities across a broad space, bring clarity to complex problem areas, and identify new programs that drive step-change impact. You have experience securing resources across cross-functional teams and building programs that create growth opportunities for others. You bring an AI-native mindset by using AI to exponentially scale your potential and the potential of those around you.

Qualifications:

Bachelor's degree in computer science, systems engineering, electrical engineering, MIS, or a related field or commensurate technical experience 10+ years of experience in technical or product program management, with a track record of delivering business value through technology solutions in high-tech operations 4+ years of people management experience, including experience managing managers or leading a multi-team organization Demonstrated ownership of a multi-year strategy or portfolio, including prioritization and trade-off decisions under resource constraint (budget/headcount/materials) Experience influencing and negotiating with executive cross-functional leadership across engineering and operations Analytical and problem-solving skills, with judgment under ambiguity and pressure Experience communicating portfolio status, technical trade-offs, and strategic recommendations in writing and in person to both engineering teams and executive stakeholders Experience driving process re-engineering and standards adoption across multiple teams and geographies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with vendor management, contracts, and outsourcing strategy Experience operating in a matrixed organization with distributed global teams Knowledge of compute, storage, and networking technologies and hardware NPI lifecycle Experience leading teams that own enterprise tooling, automation, or internal platforms Data center or large-scale infrastructure operations experience Master's degree in computer science, systems engineering, electrical engineering, MIS, or a related field