Director, Finance Systems - Revenue Systems Engineering

Anthropic•Seattle, WA

1d•$270,000 - $315,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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 (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures)
Experience leveraging agentic development workflows
Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation
Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams
Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field
Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks
Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation
Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards

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