Director, Finance Systems Revenue Systems Engineering

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.

We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture implementation and optimization of our Order-to-Cash (OTC) systems as we scale globally. Youll serve as the technical lead for our revenue systems within the ERP ecosystem driving automation of revenue recognition processes and integrating our billing sales and financial systems.

• Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries

• Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations

• Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models

• Modify enhance and optimize data transformation models using DBT/SQL to support standardized data flows across accounting billing engineering and product teams

• Establish comprehensive testing frameworks for data transformations formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements

• Collaborate with Revenue Accounting Data Infrastructure and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth

• Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort

• Provide technical expertise during month-end close processes ensuring system reliability and performance during peak transaction volumes

• Pioneer AI integration for revenue operations building intelligent agents for discrepancy investigation automated testing and self-service analytics

• Evaluate and implement emerging technologies to modernize integration architecture

• Establish best practices with CI/CD pipelines automated testing and deployment workflows maintaining high reliability standards

• Mentor team members on technical best practices code reviews and documentation standards

• Possess strong technical proficiency in Python SQL DBT and modern data engineering tools (workflow orchestration infrastructure as code cloud data warehouses)

• Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)

• Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience including proficiency with API development (REST SOAP/XML webhooks) and understanding of ERP extension patterns and custom object development

• Experience with additional programming languages (Java JavaScript/TypeScript Go) for building integrations APIs and custom ERP extensions

• Track record of leading technical workstreams during ERP transformations or major system migrations

• Are skilled at designing scalable integration architectures including both real-time APIs and batch processing patterns for high-volume financial transactions

• Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards

• Understanding of consumption-based pricing models usage metering platforms and marketplace billing

• Thrive in a fast-paced high-growth environment where youll balance innovation with operational stability

• Have excellent communication skills to bridge technical and business stakeholders including Finance Accounting Revenue Operations and Engineering teams

• Have 12 years of experience in revenue systems engineering with deep hands-on expertise in Order-to-Cash (OTC) implementations

• Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes

• Background in financial systems implementations supporting multi-entity multi-currency operations with complex revenue recognition scenarios

• Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems

• Specific experience with: Salesforce CPQ/Revenue Cloud Zuora Stripe Billing Workday Financials

• Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data

• Technical expertise with iPaaS platforms (MuleSoft Workato Boomi) and advanced API patterns (GraphQL event-driven architectures)

• Experience leveraging agentic development workflows

• Experience with AI/LLM integration for financial operations including document processing data extraction and intelligent automation

• Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams

• Knowledge of SOX compliance requirements financial controls and audit readiness for revenue systems

• Bachelors or Masters degree in Computer Science Information Systems Engineering or related technical field

• Hands-on experience with modern data stack tools: Airflow Terraform BigQuery/Snowflake/Databricks

• Build and maintain Airflow DAGs orchestrating complex financial workflows including Python scripts for DBT execution authenticated API calls and data quality validation

• Familiarity with financial reporting and business intelligence tools (Hex Looker Tableau Power BI) for revenue analytics and executive dashboards

Minimum education: Bachelors 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 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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.

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 policy for using AI in our application process.