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# Director, Finance Systems - Revenue Systems Engineering

- **Company:** Anthropic's Mission
- **Location:** San Francisco, CA, United States
- **Salary:** $270,000.0 - $315,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Application Integration Architecture, Computing Platforms, Systems Engineering, Automation of Tests, Batch Processing, BigQuery, Software as a Service, Cloud Computing, Cloud Database, Software Documentation, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Infrastructure, Data Transformation, Data Mining, Python (Programming Language), Oracle (Applications), Prism (Software), Scrum Methodology, Power BI, Software Tools, Salesforce.Com, Simple Object Access Protocol (SOAP), SQL Databases, Data Streaming, Systems Architecture, System Integration Testing, Systems Integration, Tableau (Software), Transaction Data, TypeScript, Workflow Management Systems, Extensible Markup Language (XML), Workday Financials, Scripting, Delivery Pipeline, Large Language Models, Snowflake, Boomi, Zapier, Reliability of Systems, Event Driven Architecture, Stripe, Infrastructure Automation Frameworks, Information Technology, Graphql, Api Design, Terraform, Webhooks, Looker Analytics, Data Pipelines, Workday, Mulesoft, Databricks, Web Api, Zuora, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/director-finance-systems-revenue-systems-engineering-anthropic-3-9808074

## About the Role

* 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

Preferred qualifications

 * 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, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

## Description

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., * 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

Data Engineering & Pipeline Orchestration

 * 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

Innovation & Continuous Improvement

 * 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


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