Meta's mission is to build the future of human connection and the technology that makes it possible. Our infrastructure is the physical infrastructure on which Meta's platforms operate, facilitating community building and connection around the world. They also generate jobs and opportunities for local communities where they are located. Meta designs, builds, leases, and operates the most innovative and efficient data centers in the world. Developing, operating and managing the data center infrastructure and facilities the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital, and operational cost efficiency in a safe, healthy working environment. Meta is seeking an experienced and individual to join our Economic Policy team to support our strategic engagement on policy issues that impact our data center infrastructure operations, site selection efforts, and energy goals. You must have direct experience developing and successfully implementing policy strategies on energy issues at the State and/or Federal levels. This role will partner closely with regional policy teams and business teams.

Qualifications:

Bachelor's degree in public policy, economic development, or energy related fields 5+ years of experience in energy (or related) policy with a focus on using technical policy expertise to support business needs Experience managing multiple concurrent workstreams, tracking deadlines, and coordinating deliverables across teams Demonstrated ability to develop and successfully implement strategic initiatives Demonstrated ability to work with large cross-functional groups, including technical teams Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 5+ years experience in managing complex policy related initiatives related to data center, economic development, utility, manufacturing or other large infrastructure projects 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