Infrastructure Accounting Manager

Meta

Austin, Menlo Park (TX, CA)

On-site

USD 140,000 - 200,000

Full time

5 days ago
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Job summary

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 focuses on end-to-end accounting processes and operationalizing new programs for strategic supply chain initiatives within Meta's AI infrastructure.

The candidate will lead complex analyses, communicate findings to stakeholders, and drive improvements in fixed asset accounting, system

Qualifications

  • 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.

Skills

Analytical thinking
Communication
Problem solving
GAAP knowledge
Data analysis

Education

BA/BS in Accounting, Finance, or related field

Tools

SQL
Python
Tableau
Oracle ERP
SAP ERP

Job description

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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