Anthropic
Director, Finance Systems - Revenue Systems Engineering
$270K–$315K
San Francisco, CA +2 · Director · Full-time · Posted Aug 29, 2026
- Location
- San Francisco, CA
Seattle, WA
San Francisco, California, United States - Experience
- Minimum years correlate with internal job level; preferred qualification: 12+ years in revenue systems engineering.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; required field of study relevant to the role. Preferred: Bachelor’s or Master’s degree in a related technical field.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, the company will make every reasonable effort to obtain a visa.
About the job
Leads the architecture and development of global Order-to-Cash revenue systems, automating revenue recognition and integrating billing, sales, and finance platforms.
What you'll do
- Own revenue systems architecture and build scalable data pipelines and ASC 606-compliant revenue recognition workflows.
- Design integrations and automated reconciliation, testing, and deployment processes for high-volume financial transactions.
- Lead technical workstreams, support month-end close, mentor team members, and develop AI-enabled revenue operations tools.
What they ask for
- Proficiency in Python, SQL, DBT, and modern data engineering tools.
- Extensive experience with enterprise billing platforms and ASC 606 revenue recognition.
- Hands-on ERP configuration and integration experience, including API development and ERP extensions.
- Track record leading technical workstreams during ERP transformations or major system migrations.
Nice to have
- 12+ years in revenue systems engineering, with hands-on Order-to-Cash implementations.
- Experience with revenue platforms, CRM/CPQ, iPaaS, AI/LLM integration, or modern data-stack tools.
Pay
$270,000 — $315,000 USD (base salary)
Tools
Python, SQL, DBT, REST, SOAP/XML, Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing
AI focus
Pioneer AI integration for revenue operations, including intelligent agents for discrepancy investigation, automated testing, self-service analytics, and financial-operations automation.
Model-written summary · the original posting is authoritative