技术收入会计总监

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.

We are looking for a Director, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! 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.

• Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study

• Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams

• Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements

• Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics

• Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc.

• Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume

• Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller

• Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders

• Review revenue-related month end close journal entries and flux analysis

• Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership

• Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements

• Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, 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., Workday Financial Management, Zuora RevPro)

• Have SQL proficiency for querying and analyzing large revenue and contract datasets

• Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results

• Have a demonstrated ability to thrive in fast-paced, ambiguous environments

• Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role

• A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise

• Big 4 technical accounting / national office background combined with industry experience

• Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience

• 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: $230,000 — $300,000 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.