Technical Revenue Accounting
San Francisco, CA | New York City, NY | Seattle, WAFull-TimeMid-levelAccounts / Finance
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.
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.
