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Director, Finance Systems - Revenue Systems Engineering

Anthropic· Finance
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San Francisco, CA, Seattle, WA$270k - $315kUnknownPosted 1mo ago

About the role

Director-level role owning the technical architecture, implementation, and optimization of Anthropic's Order-to-Cash (OTC) systems within the ERP ecosystem, driving automation of revenue recognition and integrating billing, sales, and financial systems.

Responsibilities

  • 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

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 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

Skills

Required:PythonSQLDBTData engineeringASC 606ERP systemsAPI developmentSystem integrationCI/CDCommunication
Nice to have:Mentoring

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
  • Guidance on candidates' AI usage policy
Last updated Sep 2, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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