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Anthropic

Senior Manager, Compute Accounting

san francisco, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Anthropic lists this Senior Manager, Compute Accounting opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

About the role

We are seeking a Compute Cost of Revenue Accountant to join our Accounting team at Anthropic. In this role, you will own the financial accounting, allocation, and reporting for compute-related Cost of Revenue (COR). As Anthropic scales its AI infrastructure, accurate COR accounting and cost allocation are critical to understanding the economics of our products and informing strategic investment decisions. You will develop and refine allocation methodologies, implement and maintain accounting policies for overhead and direct cost attribution, and ensure proper COR classification across our expanding product suite. Compute is the largest expense category at Anthropic and is critical to understanding the gross margin of our business. This is an opportunity to build foundational accounting processes at a company operating at the frontier of AI.

Responsibilities

Own end-to-end Cost of Revenue accounting for compute-related costs, ensuring accurate classification, reporting, and month‑end close activities

Design, implement, and maintain COR allocation methodologies that accurately attribute overhead and direct costs to product lines and business segments

Build and manage ERP allocation schedules to automate cost distribution and ensure consistency across reporting periods

Scope and formulate accounting policies governing how infrastructure costs are allocated to Cost of Revenue vs. Operating Expenses

Partner with Finance & Strategy to analyze COR trends, gross margin impacts, cost efficiency metrics, and unit economics

Collaborate with data engineering and analytics teams to build and refine COR data pipelines, validate data quality, and improve reporting accuracy

Develop scalable processes to support rapid growth in compute infrastructure spend while maintaining strong internal controls

Prepare variance analysis comparing actual COR to budget and forecast, investigating and explaining significant fluctuations

Support external audit requirements related to COR, cost allocations, and related accounting policies

Prepare management reports and supporting schedules for COR, gross margin, and cost allocation analysis

Work cross‑functionally with Capital Efficiency, Infrastructure, and Product teams to understand compute cost drivers and improve allocation accuracy

You may be a good fit if you:

Have 8+ years of progressive accounting experience with meaningful exposure to cost accounting and Cost of Revenue

Hold a Bachelor’s degree in Accounting or Finance; CPA or equivalent preferred

Demonstrate experience with COR and COR allocation methodologies, including overhead and direct cost attribution

Have hands‑on experience working with ERP allocation schedules and automated cost distribution

Show ability to scope and formulate accounting policies for allocating costs to COR

Be proficient in financial analysis and comfortable working with large datasets

Be familiar with gross margin analysis and unit economics

Have a builder mindset—comfortable creating processes from scratch in a fast‑paced environment

Exhibit strong organizational skills and attention to detail

Strong candidates may also:

Have experience with NetSuite or Workday ERP systems

Possess SQL skills for querying and analyzing cost datasets

Understand compute infrastructure cost structures and cloud economics

Have experience at a technology company with consumption-based revenue models

Show genuine curiosity about AI technology and the infrastructure that supports it

Demonstrate proficiency with AI-assisted tools for enhancing financial analysis

Have experience with cross-charge or intercompany allocation processes

Compensation

Annual Salary: $190,000 – $230,000 USD

Logistics

Education requirements: At least a Bachelor’s degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.

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Worksite address

san francisco, CA, 94199, US

Who can apply

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