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Infrastructure Accounting Manager

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-09-14
Job specializations:
  • Accounting
    Financial Reporting
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

Meta is seeking an Infrastructure Accounting Manager to join the controllership function, supporting the accounting and financial reporting for Meta's large-scale infrastructure investments.. This role will specifically support end-to-end accounting processes and operationalizing new accounting programs with a special focus on various strategic supply chain initiatives. This role is critical in supporting the financial integrity and strategic growth of Meta’s AI infrastructure, ensuring robust accounting processes for new technologies and large-scale compute infrastructure.

  • 7+ years of accounting experience in a high growth environment, focusing on supply chain or infrastructure
  • BA/BS degree in Accounting, Finance, or related field
  • Technical and operational knowledge of U.S. GAAP including ASC 360 (property, plant, and equipment)
  • Experience communicating complex accounting positions and analysis to both technical and non-technical stakeholders through written documentation and presentations
  • Experience in system implementation to support fast-growing business from accounting standpoint
  • Experience in optimizing or designing new and existing processes
  • Analytical and problem-solving skills
  • Big 4 audit experience and CPA certification
  • Experience with ERP systems such as Oracle or SAP in the context of fixed assets
  • Experience using data analysis or visualization tools such as SQL, Python, Tableau, or similar platforms to support infrastructure accounting analysis and reporting
  • 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
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