Procurement Operations Leader
About the Team
The Procurement Operations team runs the engine that turns intent into spend at OpenAI.
We sit between the people who need things (research, product, engineering, operations) and the systems that record, pay for, and report on them. Our job is to make it easy for teams to buy what they need while ensuring every dollar lands in the right place — on the right supplier, on the right PO, with the right data — so Finance, Legal, and Security can trust the outcome.
As OpenAI scales, this team is also where AI, automation, and self-service come to life. We design workflows that let more volume move touchlessly, while embedding controls and audit trails directly into the systems — so speed and rigor grow together. This team works side-by-side with Accounts Payable, Strategic Sourcing, Legal, Security, and Finance Systems to ensure the company can move fast without losing financial integrity or control.
About the Role
The Procurement Operations Leader owns the operational backbone of how OpenAI turns requests into committed, controlled, and payable spend. This role sits at the center of our purchasing lifecycle — ensuring that every request, PO, and supplier record is complete, policy-aligned, and ready to scale through automation, BPO support, and AI-assisted workflows already in production.
You’ll be responsible for the health of the intake-to-PO engine: how work enters the system, how it gets validated, how it routes, and how it lands in our financial systems. That includes strengthening the controls that keep us safe, the data that makes us fast, and the workflows that allow AI and self-service to do more of the work.
This is a player-coach role. You’ll design the systems and guardrails that enable scale, and you’ll also step into the queue when something breaks, when volume spikes, or when a complex case needs hands-on leadership.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Own the intake-to-PO operating model, including request validation, routing, PO creation, change management, and supplier master data.
Ensure every request and PO is complete, policy-aligned, and audit-ready, with clean metadata that supports invoice matching and reporting.
Increase first-pass invoice match rates by improving upstream data quality and exception logic.
Reduce P2P cycle time through automation, self-service, and disciplined queue management.
Codify approval rules, exception handling, and segregation of duties directly into Zip, Oracle, and connected systems.
Expand and refine AI-assisted triage, validation, and routing so more volume moves through the system with less manual touchpoints.
Build and maintain dashboards and operational metrics to track intake health, cycle time, exception rates, and control performance.
Partner with Legal, Security, TPRM, and Finance Systems to ensure controls and policies are reflected in how work actually flows.
Serve as the escalation point when operational breakdowns occur — and lead the resolution through to a clean outcome.
You might thrive in this role if you have:
10+ years of experience running procurement, P2P, or intake-driven operations in fast-scaling environments.
A strong understanding of how upstream intake and metadata quality drive downstream invoice accuracy, audit readiness, and financial clarity.
A passion for transforming messy, manual processes into structured, scalable, automated systems.
Leveraged AI/automation to improve quality, speed, and scale.
Used data and metrics to spot risk, bottlenecks, and opportunities to simplify.
A strong grasp of controls, segregation of duties, and compliance requirements across Procurement, Legal, and Finance.
Comfort being a true player-coach — designing the operating model while also stepping into the queue to unblock a PO, fix a supplier record, or resolve a high-impact exception when needed.
Strong communication skills and the ability to partner cross-functionally to design workflows that enable speed while protecting the business.
Experience with tools such as Zip, Oracle, Jira, Navan, or similar platforms.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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Compensation
$234K – $295K + Offers Equity