About this role
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 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. You'll 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.
Responsibilities
Revenue Platform Architecture & Development
• 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
Data Engineering & Pipeline Orchestration
• 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
Systems Integration & Technical Leadership
• 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
Innovation & Continuous Improvement
• 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
Minimum qualifications
• 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 revenu