Revenue Accounting

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

Anthropic is seeking an experienced candidate in Revenue Accounting to join our expanding Accounting Team. This role will be responsible for month end close including reviewing contracts, recording revenue, performing analyses, and revenue reporting. You will collaborate with FP&A, Revenue/Sales Operations, and Billing Engineering to ensure accurate and complete entries for revenue accounting. The ideal candidate is a team player with a solid understanding of ASC 606, attention to detail, and the ability to work in a fast paced environment.

Responsibilities:

• Review sales agreements to ensure revenue recognition in accordance with GAAP, including assessing non-standard terms and determining accounting treatments
• Participate in month-end revenue close by preparing revenue related account reconciliations and journal entries such as revenue, deferred revenue, un-billed receivables
• Prepare flux analysis and key reporting metrics, presenting results to management
• Work cross functionally with FP&A, Legal, Revenue Operations, Order Management, and various business partners on processes and programs, help drive key system initiatives and improvements
• Support revenue accounting IT projects for system design, implementation, testing, and maintenance
• Assist audit deliverables and help coordinate with auditors during the year-end audit

You may be a good fit if you have:

• Bachelor’s degree in accounting or finance (or equivalent experience)
• 5+ years of accounting experience, with 2 years at least in public accounting
• Strong knowledge of ASC 606 Revenue from Contracts with Customers
• Experience in collaborating across departments to influence change
• Attention to detail, great communication skills, and strong sense of teamwork
• Ability to work independently and prioritize in a fast paced environment

Strong candidates may also:

• Have experience in a growing SaaS technology business, preferably in startup or high-growth environments
• Be extremely passionate about data integrity, comfortable with large datasets, and enjoy solving complex problems
• Have proficiency in NetSuite, especially in the ARM (Advanced Revenue Management) module
• Have experience with Metronome, Stripe, Anrok, or similar software is a plus
• Have database & SQL experience (a plus)

Deadline to apply: 

None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:$110,000—$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.

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