Asset Compliance Program Lead, Hardware

About the Team OpenAI’s Central Procurement – Hardware Operations team is building scalable, AI-enabled operating foundations for a rapidly growing hardware footprint. We help the business move quickly while maintaining the data quality and controls needed to manage financial and operational risk responsibly. As OpenAI scales across R&D, new-product introduction, manufacturing, and third-party custody models, we are building the foundations to absorb complexity without adding unnecessary friction. That means establishing practical standards, strengthening discipline where it matters, using AI thoughtfully, and continuously improving how teams manage hardware operations. About the Role We are hiring an Asset Compliance Program Lead to establish the cross-business framework that gives OpenAI reliable lifecycle visibility over hardware-related financial assets and capital equipment. You will define the controls, systems roadmap, and evidence practices needed to manage those assets within OpenAI’s financial-control scope. This is a senior individual-contributor role in Central Procurement – Hardware Operations within Finance. Distinct from sourcing and transaction execution, you will partner with hardware business units, Accounting, Financial Risk Management, Procurement, contract manufacturers, and other third-party custodians to deploy practical operating mechanisms. These mechanisms will connect how assets are purchased, built, received, moved, held, verified, and retired with the ownership, data, reporting, and evidence needed for financial governance. The role covers those assets regardless of location or custody, including manufacturing equipment and tooling, supplier- and contract-manufacturer-held assets, leased assets, and other third-party-held equipment. You will stay close to the operational details—how assets move, where records diverge, which controls are not working, and where evidence is incomplete—and use that view to strengthen processes, accountability, and systems without compromising speed or flexibility. In this role, you will: - Design and scale the end-to-end asset-compliance operating model across acquisition and capitalization, custody and location tracking, transfers, lifecycle events, inventory and verification, impairment or retirement, and audit-evidence retention. - Define the authoritative asset record and systems roadmap, connecting requests, contracts, purchase orders, invoices, receiving, inventory data, physical custody, transfers, and financial records. - Establish clear ownership and control points across OpenAI teams, suppliers, contract manufacturers, logistics providers, and other third-party custodians. - Build lifecycle reconciliations and a scalable verification model across multiple internal and third-party sites, using risk-based inventories, sample testing, attestations, and corrective-action tracking to identify missing records, ownership or location gaps, unrecorded transfers, unresolved exceptions, and incomplete audit evidence. - Establish an initial baseline of asset exposure and control gaps, then prioritize remediation based on financial, operational, custody, and reporting risk. - Identify recurring issues and use process, system, workflow, automation, and AI-enabled improvements to prevent repeat problems and improve the stakeholder experience. - Shape policy, standards, and governance improvements by bringing operational evidence, implementation insight, and risk findings to the appropriate decision-makers. - Define executive reporting on asset completeness, control performance, audit readiness, remediation progress, and emerging risks. We’re looking for someone who can both operate and improve the system. This person will be hands-on in asset compliance while building the next version of how the work gets done: clearer standards, reliable data, stronger operating discipline, smarter workflows, and more AI-enabled ways of working. You might thrive in the role if you: - Have 8+ years of experience in hardware operations, supply chain, manufacturing, asset management, procurement operations, audit, risk and controls, or a similarly control-intensive environment; including experience owning or improving end-to-end asset, custody, inventory, or third-party control processes. - Are experienced in operating in complex hardware environments, such as contract manufacturing, supplier- or third-party-held assets, manufacturing equipment or tooling, global custody, logistics, or physical inventory and verification. - Demonstrate systems fluency, including ERP platforms such as SAP or Oracle and the data flows among procurement, purchase orders, invoices, receiving, inventory, asset records, and the general ledger; experience defining or improving asset-management, workflow, reporting, or control systems. - Have experience establishing audit readiness through risk-based testing, reconciliations, evidence reviews, and remediation; able to build practical op

8+ years of experience in hardware operations, supply chain, manufacturing, asset management, procurement operations, audit, risk and controls, or a similarly control-intensive environment; experience owning or improving end-to-end asset, custody, inventory, or third-party control processes.

Design and scale the end-to-end asset-compliance operating model across acquisition and capitalization, custody and location tracking, transfers, lifecycle events, inventory and verification, impairment or retirement, and audit-evidence retention. Define the authoritative asset record and systems roadmap, connecting requests, contracts, purchase orders, invoices, receiving, inventory data, physical custody, transfers, and financial records. Establish clear ownership and control points across OpenAI teams, suppliers, contract manufacturers, logistics providers, and other third-party custodians. Build lifecycle reconciliations and a scalable verification model across multiple internal and third-party sites, using risk-based inventories, sample testing, attestations, and corrective-action tracking to identify missing records, ownership or location gaps, unrecorded transfers, unresolved exceptions, and incomplete audit evidence. Establish an initial baseline of asset exposure and control gaps, then prioritize remediation based on financial, operational, custody, and reporting risk. Identify recurring issues and use process, system, workflow, automation, and AI-enabled improvements to prevent repeat problems and improve the stakeholder experience. Shape policy, standards, and governance improvements by bringing operational evidence, implementation insight, and risk findings to the appropriate decision-makers. Define executive reporting on asset completeness, control performance, audit readiness, remediation progress, and emerging risks.