Director of Finance Systems

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.

• 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 you'll balance innovation with operational stability
• Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams

• Competitive compensation and benefits.