Infrastructure Accounting Manager
Job in
Austin, Travis County, Texas, 78716, USA
Listing for:
Meta
Full Time
position
Listed on 2026-09-12
Job specializations:
-
Accounting
Financial Reporting, Financial Analyst
Salary/Wage Range or Industry Benchmark: 114000 - 167000 USD Yearly
USD
114000.00
167000.00
YEAR
Job Description & How to Apply Below
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 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.
Required
Skills
Infrastructure Accounting Manager Responsibilities:
Manage end-to-end accounting processes for strategic supply chain initiatives and operationalize any new accounting program to support the scaling of the Infrastructure Supply Chain or Data CenterDevelop and maintain strong relationships with cross-functional teams to understand broader business objectives and provide accounting guidance.Act as a trusted advisor to non-finance partners, communicating the financial statement impact of their operational choices in clear, actionable terms.Interpret and apply accounting standards to new and ongoing agreements for accurate financial reporting.Prepare accounting memos and communicate conclusions to cross-functional teams.Manage key SOX controls and provide input for audits by business partners, internal auditors, and external auditors.Drive process improvements and automation - including leveraging AI tooling - to enhance the efficiency, accuracy, and scalability of financial reporting.Minimum Qualifications
7+ years of accounting experience in a high growth environment, focusing on supply chain or infrastructureTechnical 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 presentationsExperience in system implementation to support fast-growing business from accounting standpointExperience in optimizing or designing new and existing processesAnalytical and problem-solving skillsPreferred Qualifications
Big 4 audit experience and CPA certificationExperience with ERP systems such as Oracle or SAP in the context of fixed assetsExperience using data analysis or visualization tools such as SQL, Python, Tableau, or similar platforms to support infrastructure accounting analysis and reportingDemonstrated 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 technologiesPublic Compensation
$114,000/year to $167,000/year + bonus + equity + benefits
Industry
Internet
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affiant employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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