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 an Senior Manager, Revenue Accounting - New Product Introduction to join our Accounting Team. In this role, you will be the primary orchestrator for all New Product Introduction (NPI) downstream financial coordination—engaging upstream with Product Operations for early visibility into launches, determining revenue recognition treatment, developing UAT test scenarios, and driving seamless system configurations across Finance Systems, Revenue Operations, and Order Management. If you are looking to make a significant impact at the intersection of product launches and financial infrastructure at an innovative AI company, come join us in our mission to build cutting-edge, safe AI.

Responsibilities

Serve as the DRI for NPI downstream coordination, routing new launches through financial review and system configuration workflows
Engage with Product Operations upstream to gain early visibility into launches and provide proactive guidance on revenue accounting implications
Generate UAT test scenario spreadsheets for revenue-impacting transactions and coordinating with the Financial Systems team on billing system configurations, test invoice processing, and timeline management
Collaborate with Revenue Operations and Order Management to validate GL account flows, journal entry automation, and provisioning setup
Draft Technical Accounting memos for non-standard revenue arrangements and finalize accounting logic for manual journal entries when needed
Drive end-to-end testing across downstream systems prior to launch and proactively escalate risks or delays
Contribute to process improvement and system implementation projects across the NPI workflow

You may be a good fit if you

Have 7+ years of progressive accounting experience with strong expertise in revenue accounting, ASC 606, or technical revenue operations
Have Big Four public accounting experience (audit or advisory) with a focus on revenue recognition or system implementations
Have experience working on NPI processes, product launch accounting, or revenue system configurations at a technology company
Have strong knowledge of ASC 606, including performance obligation analysis, contract modifications, and variable consideration
Have hands-on experience with revenue recognition tools and billing platforms (e.g., NetSuite, Zuora, Stripe, or similar)
Have excellent cross-functional collaboration and project management skills, with comfort managing multiple concurrent launches
Have strong communication skills with the ability to translate complex accounting requirements into actionable guidance for non-accounting stakeholders
Have a demonstrated ability to thrive in fast-paced, ambiguous environments

Strong candidates may also have

A Bachelor’s degree in Accounting or Finance; CPA preferred
Big Four experience in revenue recognition advisory or technology sector audit
Direct NPI or product launch accounting experience at a high-growth SaaS or AI/ML company
Experience with consumption-based and subscription-based revenue models
Familiarity with billing subledger systems, provisioning workflows, and deal desk processes

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