$153,000 - $224,000 USD yearly
Support the execution of cross-functional policy initiatives related to policy proposals focused on data center infrastructure, energy, and economic development, site selection and environmental policy issues that span across multiple teams and organizations
Help identify and track energy, and data center infrastructure related legislation across US States and US Federal, including managing review processes and consolidating feedback across cross-functional partners
Work in partnership with internal cross-functional partners, trade associations, external consultants to identify emerging policy issues that relate to data centers infrastructure and assess the potential impact to Meta data center operations
Support policy and engagement strategies that are informed by business needs, research, and the public opinion climate
Facilitate alignment across internal teams and external partners, including trade associations
Prepare summary documentation and memos on infrastructure and energy related policies and issues to support external engagement and drive internal alignment
Support other relevant economic policy issues, such as tax and trade policy, as needed
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