Corporate Accountant, Accounting Operations

San Francisco, CA; Seattle, WAFull-TimeMid-levelAccounts / Finance

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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

We are looking for a Corporate Accountant to join our Corporate Accounting Operations team at Anthropic. You will work as a key preparer across the monthly and quarterly close cycle and work cross-functionally across the organization to solve complex problems on a regular basis. .
This is an opportunity for someone who thrives in ambiguity, moves quickly without sacrificing accuracy, and genuinely enjoys building better processes — not just maintaining them. If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI.

Serve as a primary preparer across month-end and quarter-end close activities spanning various corporate accounting areas
Prepare and own balance sheet reconciliations, journal entries, and flux analysis commentary across your portfolio of accounts, that may include leases, fixed assets, prepaid expenses, accruals, and payroll-related accruals
Prepare and maintain technical accounting memos, documenting conclusions in accordance with US GAAP and ensuring audit-ready support
Support and operate within the company’s internal controls framework, with a focus on SOX compliance and control documentation
Identify repetitive, rules-based accounting tasks and build scalable workflows — including leveraging Claude and other tools — to reduce manual effort and increase accuracy
Collaborate with Technical Accounting on complex transactions, policy development, and application of new or evolving accounting standards
Support external audit requests and ensure timely delivery of audit-ready schedules and supporting documentation
Contribute to system implementations and process improvement initiatives as the team and company continue to scale

Hold an active CPA license (required)
Have 7+ years of accounting experience, preferably in startup or high-growth environments with 2+ years of experience in a public company
Big 4 Audit background
Have experience operating across multiple accounting functions (e.g., corporate close, lease accounting, payroll accounting) — comfort with breadth is essential
Can move between preparer-level execution and technical accounting analysis — writing a technical memo and closing your accruals in the same week should feel familiar
Have experience working in or building out SOX-compliant control environments
Are a self-starter who identifies what needs to be done and does it without waiting to be asked
Communicate clearly and directly with non-accounting partners — you can explain a journal entry to non finance stakeholders
Are comfortable with ambiguity and can make good decisions with incomplete information

Have experience working in a fast-paced startup environment
Workday financials experience or ERP implementation
Have the ability to meet deadlines without sacrificing the quality of your work product
Be comfortable with handling ambiguity and working with minimal supervision
Take the initiative to apply their knowledge of processes and systems and recommend well-considered improvements
Exhibit knowledge of how to implement a change and good instinct in predicting its effects, and knowledge of how to “get it right” the first time
Bring genuine curiosity about how AI tools can eliminate low-value, repetitive work from accounting workflows
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.