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OpenAI's Procurement team is seeking a Senior Manager for Accounts Payable focused on compute infrastructure. In this role, you will own payment readiness and material exceptions across large-value, business-critical supplier obligations that support OpenAI's compute operations.
You will translate complex, evolving supplier agreements—including amendments to pricing, capacity, service credits, billing mechanics, legal entities, and payment schedules—into accurate, timely payments. This is a hands-on technical and operational leadership position requiring you to interpret complex payment terms, reconcile financial data, diagnose system failures, and build scalable workflows.
Key responsibilities include:
- Owning the compute invoice-to-payment operating plan, prioritizing material exceptions, and leading supplier escalations across high-value obligations and tight deadlines
- Interpreting executed contracts and amendments to translate them into invoice-validation, PO/change-order, approval, control, and payment requirements
- Personally investigating discrepancies, supplier disputes, missing credits, duplicate risks, and PO coverage gaps; tracing records across procurement and ERP systems to resolve root causes
- Leading a payment-readiness cadence across Compute Finance and Accounting teams, consolidating obligation and payment views, and resolving cross-functional dependencies
- Confirming supplier, site, entity, tax, payment-method, and approval readiness before payment release
- Coordinating funding forecasts and close-period payments with Treasury; reconciling invoice aging, payment registers, and settlement evidence
- Designing matching tolerances, validation rules, exception routing, and escalation thresholds with control and accounting partners
- Mapping compute workload and capacity by task and complexity; assigning work across employees, contractors, and shared-service teams; coaching task owners and building team autonomy
- Setting a prioritized improvement roadmap tied to compute business needs; owning requirements for workflow and AI improvements; leading operational testing and adoption; measuring service, risk, and capacity outcomes
You will coordinate across multiple Compute Finance and Accounting teams, establish decision owners, align deadlines, and move interdependent work forward in parallel. You will work with Procurement, Treasury, Tax, Finance Systems, and existing processing teams to deliver measurable improvements in controls, service, and capacity.
The role is based in San Francisco with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees.
Requirements:
- 8+ years in AP, payments, or related finance operations, or equivalent experience, with personal ownership of complex, high-value supplier obligations and material exceptions from executed contract through invoice approval, payment, and settlement
- Strong judgment on controls, segregation of duties, supplier verification, reconciliations, and close support in an audited environment
- Ability to interpret complex pricing, capacity, credit, billing, and payment terms and translate contract amendments into executable workflows, matching rules, and clear decision ownership
- Experience leading coordination across multiple finance and accounting teams on material payments; reconciling competing priorities and deadlines; establishing clear decisions, handoffs, and escalation paths with suppliers and partners
- Demonstrated independent leadership of cross-functional operating improvements and delivery teams; building demand-and-capacity plans; maintaining peak and backup coverage; delivering measurable results while staying close to execution
- Ability to independently reconcile large financial datasets using advanced spreadsheets or comparable analytical tools; establishing complete populations and control totals; diagnosing ERP workflow, data, and integration failures (Oracle Fusion and Zip experience helpful)
- Demonstrated practical application of AI in finance or operations with measurable gains in accuracy, speed, or capacity; ability to translate business and control requirements into testable workflows and lead UAT with human review, exception handling, reconciliation, fallback, and ongoing monitoring
- Experience with cloud infrastructure, compute, data centers, or similarly complex supplier arrangements (required)
