Director, Finance Systems - Revenue Systems Engineering

EngineersOfAI; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Anthropic is seeking an experienced Revenue Systems Engineering Director to lead the Finance Systems team in architecting and optimizing Order-to-Cash solutions for global scale. You will drive automation of revenue recognition, integrate billing, sales, and financial systems, and mentor engineers on best practices.

In this role, you will own the revenue platforms, design scalable data pipelines with DBT/SQL, and implement automated reconciliation and testing frameworks to support peak

Qualifications

• Strong technical proficiency in Python, SQL, DBT, and data engineering tools.
• Experience with enterprise billing platforms and ASC 606.
• ERP system knowledge, including APIs, webhooks, and integration patterns.
• Exposure to multiple programming languages for integrations (Java, JS/TS, Go).
• Proven ability to lead technical workstreams during ERP transformations.
• Designing scalable integration architectures for high-volume transactions.

Responsabilités

• Own the revenue systems architecture and development for multi-entity/global operations.
• Build scalable data pipelines for real-time integrations with low latency.
• Automate revenue recognition workflows compliant with ASC 606.
• Enhance data transformation models across accounting, billing, and product teams.
• Define testing frameworks for SIT/audit needs and document outcomes.
• Collaborate on enterprise integration patterns with revenue, data, and BizTech teams.
• Implement automated reconciliation engines to detect variances quickly.
• Support month-end close with reliable system performance during peaks.
• Pioneer AI integration for revenue ops, including self-service analytics.
• Maintain CI/CD and deployment discipline; mentor team members on best practices.

Connaissances

Python

SQL

APIs

DBT

Data Warehouses

Workflow Orchestration

Outils

DBT

REST API development

Description du poste

About Anthropic

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.

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.

Responsibilities

Revenue Platform Architecture & Development

• 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

Systems Integration & Technical Leadership

• 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

Minimum 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