Revenue Systems Solution Architect

About Anthropic

Anthropics 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 seeking a Revenue Systems Solution Architect to join our Finance this role you will own the design implementation and optimization of our revenue recognition and billing systems infrastructure. As we continue to scale our consumption-based business model you will be instrumental in building the systems foundation that enables accurate revenue recognition streamlined quote-to-cash processes and efficient month-end close.

This is a hands-on role where youll architect solutions configure systems and solve complex technical challenges directly. Youll work at the intersection of Finance Accounting and Sales Operations ensuring our revenue systems accurately reflect the complexities of ASC 606 compliance while supporting Anthropics growth trajectory. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up come join us in our mission to build safe transformative AI.

Responsibilities:

• Own the architecture implementation and administration of revenue recognition systems (such as Zuora Revenue Salesforce Revenue Cloud or similar platforms) ensuring ASC 606 compliance for consumption-based business models

• Design and maintain CPQ (Configure-Price-Quote) systems architecture including Salesforce CPQ or equivalent platforms ensuring seamless integration with downstream billing and revenue systems

• Lead month-end close processes related to revenue recognition identifying and resolving reconciliation issues automation opportunities and process bottlenecks

• Architect integrations between CPQ billing revenue recognition and ERP systems to create a cohesive quote-to-cash technology stack

• Develop and maintain technical documentation data flow diagrams and system configuration guides

• Partner with Accounting FP&A and Sales Operations teams to translate business requirements into scalable technical solutions

• Troubleshoot complex revenue recognition scenarios particularly those unique to consumption and usage-based pricing models

• Drive continuous improvement of revenue systems identifying opportunities for automation and enhanced accuracy

• Support audit readiness by maintaining clear system controls documentation and data integrity

You may be a good fit if you:

• Have 7 years of experience implementing and administering revenue recognition systems such as Zuora Revenue Salesforce Revenue Cloud RevPro or similar platforms

• Have deep expertise in ASC 606 revenue recognition standards particularly as applied to consumption-based and usage-based business models

• Have hands-on experience with CPQ platforms (Salesforce CPQ DealHub or similar) and their integration with billing and revenue systems

• Have a track record of solving complex month-end close issues and optimizing revenue accounting processes

• Are comfortable working directly in systemsconfiguring troubleshooting and building solutions yourself rather than solely managing vendors

• Possess strong understanding of quote-to-cash processes and the technical architecture that supports them

• Can communicate complex technical concepts clearly to both technical and non-technical stakeholders

• Thrive in unstructured environments and are energized by building processes and systems from the ground up

Strong candidates may also:

• Have experience with NetSuite Stripe or Metronome integrations

• Have worked at high-growth technology companies with complex evolving revenue models

• Have SQL proficiency for data analysis reconciliation and troubleshooting

• Have experience supporting external audits related to revenue recognition

• Bring a background in Accounting or Finance combined with systems expertise

• Have familiarity with data warehouse integrations for revenue reporting and analytics

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process