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 Technical Revenue Accounting professional to join our Accounting Team. In this role, you will execute complex ASC 606 technical evaluations, draft comprehensive revenue accounting memos, and provide strategic accounting guidance on new product revenue recognition treatments and go-to-market initiatives. You will work cross-functionally across the organization and solve complex problems on a regular basis! 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:
- Author detailed ASC 606 technical accounting memos analyzing complex revenue recognition scenarios and providing accounting conclusions
- Evaluate and establish revenue recognition treatment for new product offerings, including performance obligation identification, SSP evaluation, and contract modification assessments
- Advise business stakeholders on revenue accounting implications of new go-to-market strategies, pricing models, and unique commercial arrangements
- Review revenue contracts and prepare technical accounting documentation, including ASC 606 checklists and position papers to ensure revenue recognition compliance
- Lead technical research initiatives on emerging revenue recognition issues and present authoritative findings to senior management
- Develop and maintain comprehensive revenue recognition policies, procedures, and technical guidance documentation
- Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders
- Prepare for revenue-related month end close activities and flux analysis
- Build and maintain relationships with cross-functional stakeholders to drive effective collaboration
- Participate in and contribute to process improvement and system implementation projects
You may be a good fit if you:
- Have 7+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios
- Have demonstrated experience drafting technical accounting memos, position papers, and revenue recognition assessments
- Have strong knowledge of ASC 606 with experience in performance obligation analysis, contract modification accounting, and variable consideration treatment
- Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges
- Have hands-on experience with revenue recognition tools (e.g., NetSuite ARM, Oracle Fusion, Workday Financial Management, Zuora RevPro)
- Have proven project management skills with ability to drive results
- Have a demonstrated ability to thrive in fast-paced, ambiguous environments
Strong candidates may have:
- A Bachelor's degree in Accounting or Finance; CPA preferred with demonstrated technical accounting expertise
- Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience
- Experience working with consumption-based and subscription-based revenue models
- Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities
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:
$190,000—$230,000 USD
Logistics
**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience
**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience
**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position
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