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Senior Manager, Order-to-Cash Assurance
Anthropic · San Francisco, CA · Posted 7 days ago
Build the pricing audits, accuracy metrics, and controls that catch revenue leakage across direct, consumption-based, and cloud marketplace orders at an AI company scaling fast.
Anthropic's global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Senior Manager, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it.
You'll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You'll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You'll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them.
You'll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn't, and able to explain the difference. If you're energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we'd like to hear from you.
Key responsibilities
• Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application
• Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on
• Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards
• Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows
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