Corporate Accountant, Accounting Operations

About Anthropic

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.

About the role

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.

Responsibilities:

• 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

You may be a good fit if you:

• 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

Strong candidates may also:

• 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.

Annual Salary:
$160,000—$190,000 USD

Logistics

Education requirements: We require 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. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process