Finance Manager, Infrastructure

Meta Meta · Big Tech · Menlo Park, CA

Finance Manager for Meta's Infrastructure FP&A team, focusing on financial planning and analysis for Network Infrastructure Hardware investments that support Meta's AI initiatives. The role involves budgeting, forecasting, reporting, and analyzing capital and operating expenses, with an emphasis on supporting hyper-scaling data center infrastructure. The candidate will partner with cross-functional teams to drive financially sound outcomes and contribute to the future of Meta's AI capabilities.

What you'd actually do

  1. Create sustainable, trusting partnerships across multiple stakeholders with a focus on the full ownership across financial portfolio including Operating Expenses, Depreciation, Research & Development, Inventory, and Capital Expenditures of several billion dollars
  2. Manage all FP&A activities for the business including budgeting, forecasting and long-range planning
  3. Provide insights to business partners through standardized reporting & dashboards, variance analysis, scenario-based modeling and portfolio planning
  4. Develop tools to automate and streamline reporting, and create financial KPIs/metrics that help business partners and finance leaders make smart fiscal decisions
  5. Own ad hoc strategic and operational projects as required, and drive process and system improvements by partnering with cross functional owners

Skills

Required

  • 7+ years of experience in hardware finance, business operations, or strategy consulting
  • Bachelor’s degree in finance, Accounting, Business or related field
  • Experience in applicable accounting concepts and financial planning, including Capex and Opex
  • Data visualization and dashboarding
  • Excel, PowerPoint, Google Docs/Sheets/Slides
  • SQL
  • Tableau
  • working and problem solving independently, organizing workload and priorities, and completing tasks on time
  • Demonstrated experience in communication and business partnering
  • Proficient in managing financial close, forecasting, budgeting processes
  • Experience in establishing relationships with cross-functional stakeholders in finance, accounting, legal, engineering and supply chain
  • Hyperion Essbase, Oracle Financials, SQL
  • Understanding of digital infrastructure, hardware and supply chain
  • Experience in navigating through ambiguity and unstructured problems
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Nice to have

  • Interest in networking technology, digital infrastructure and data center hyperscaling

What the JD emphasized

  • hyper-scaling our data center infrastructure
  • budgeting, tracking, reporting, and analyzing investments in capital expenditures and operating expenses for our Network Infrastructure organization
  • financially sound outcomes
  • long-term sustainable economic value
  • future of Meta's AI capabilities
  • AI capacity revolution
  • full ownership across financial portfolio including Operating Expenses, Depreciation, Research & Development, Inventory, and Capital Expenditures of several billion dollars
  • budgeting, forecasting and long-range planning
  • Develop tools to automate and streamline reporting
  • drive process and system improvements
  • Understand, impact, and influence business investment decisions through detailed financial analysis
  • Financial close, tracking actuals and variance, developing forecasts, and drafting easily understandable narratives around financial data
  • hardware finance
  • financial planning
  • Capex and Opex
  • SQL
  • Tableau
  • managing financial close, forecasting, budgeting processes
  • finance, accounting, legal, engineering and supply chain
  • Hyperion Essbase, Oracle Financials, SQL
  • digital infrastructure, hardware and supply chain
  • navigating through ambiguity and unstructured problems
  • integrate AI tools to optimize/redesign workflows and drive measurable impact
  • responsible, ethical AI practices
  • ongoing AI skill development
  • prompt/context engineering
  • agent orchestration