Director, Finance Systems - Revenue Systems Engineering

Director, Finance Systems - Revenue Systems Engineering

San Francisco, CA | Seattle, WA

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.

We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team  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.

• 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 Biz Tech 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/Type Script, Go) for building integrations, APIs, and custom ERP extensions
• Track record of leading technical work streams 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

• 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 (Mule Soft, Workato, Boomi) and advanced API…