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, serving 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.
Director, Finance Systems - Revenue Systems Engineering en Anthropic
Presencial - San Francisco, CA, USA; Seattle, WA, USA
Más vacantes en AnthropicRequirements
Skills
- Strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)
- Extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)
- Expert-level understanding of ERP systems with hands‑on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and ERP extension patterns
- 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
- Skilled at designing scalable integration architectures, including real‑time APIs and batch processing patterns for high‑volume financial transactions
- 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
- Excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams
Responsibilities
- Own the revenue systems architecture and development supporting multi‑entity operations and global subsidiaries
- Design and implement scalable data pipelines using DBT/SQL 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
Technologies
PythonSQLDBTworkflow orchestration toolsinfrastructure as code toolscloud data warehousesERP systemsREST APIsSOAP/XMLwebhooksJavaJavaScript/TypeScriptGoAirflowTerraformBigQuerySnowflakeDatabricksMuleSoftWorkatoBoomiGraphQLevent‑driven architectures
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