Director Finance Systems Revenue Systems Engineering

3 weeks agoHeadSalary: 270K - 315KSan Francisco, CA | Seattle, WA Hybrid Engineering Management Jobs by Anthropic

Anthropic

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently fundedCompany intelligence

San Francisco, United States

Funding history

Series H ($65B)Series G ($30B)Series F ($13B)

Investors

Nvidia Baillie Gifford Jane Street Lightspeed Venture Partners gic

About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

View jobs by Anthropic

Skills

Airflow Api Asc 606 Billing Ci/Cd Dbt Erp Graphql Order-To-Cash Python Rest Revenue Recognition Salesforce Soap Sql Stripe Terraform Webhook Workday Financials Zuora

Candidate Availability

Hybrid · San Francisco · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the architecture, implementation, and optimization of global order-to-cash revenue systems. You will build data pipelines, revenue-recognition workflows, integrations, reconciliation engines, testing frameworks, and AI-enabled automation while leading technical practices and mentoring team members.

Requirements

Proficiency in Python, SQL, DBT, and modern data engineering tools
Experience with enterprise billing platforms and ASC 606 revenue recognition
Expertise in ERP configuration, integration, API development, and extension patterns
Experience with Java, JavaScript or TypeScript, or Go
Experience leading ERP transformations or major system migrations
Ability to design scalable real-time and batch integration architectures
Understanding of consumption-based pricing, usage metering, and marketplace billing

Responsibilities

Own revenue systems architecture and development for multi-entity operations
Design and implement DBT and SQL data pipelines
Build automated ASC 606 revenue-recognition workflows
Optimize data transformation models and establish testing frameworks
Design integration patterns and automated reconciliation engines
Provide technical support during month-end close
Build AI agents for discrepancy investigation, testing, and analytics
Establish CI/CD, testing, and deployment practices
Mentor team members on technical best practices, code review, and documentation

Benefits

Optional equity donation matching
Generous vacation
Parental leave
Flexible working hours