Director, Finance Systems - Revenue Systems Engineering

Director, Finance Systems - Revenue Systems Engineering
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.

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

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…