硬件合规项目负责人
Asset Compliance Program Lead, Hardware
关于团队
OpenAI 中央采购 – 硬件运营团队正在为快速增长的硬件规模构建可扩展、具备人工智能能力的运营基础。我们帮助业务快速推进，同时保持数据质量和控制措施，以负责任的方式管理财务和运营风险。
随着 OpenAI 在研发、新产品引入、制造以及第三方托管模式方面的扩展，我们正在建立能够吸收复杂性的基础架构，而不会增加不必要的摩擦。这意味着建立实用的标准，在关键领域加强纪律性，有意识地使用人工智能，并持续改进团队管理硬件运营的方式。
关于职位
我们正在招聘一名资产合规项目负责人，负责建立跨业务的框架，使 OpenAI 能够可靠地掌握与硬件相关的财务资产和资本设备的全生命周期。您将定义管理这些资产所需的控制措施、系统路线图和证据实践，这些资产在 OpenAI 的财务控制范围内。
这是中央采购 – 硬件运营部门内 Finance 部门的一个高级个人贡献者职位。不同于采购和交易执行，您将与硬件业务单元、会计、财务风险管理、采购、合同制造商和其他第三方托管方合作，部署实用的运营机制。这些机制将连接资产的采购、制造、接收、转移、持有、验证和退役过程，与所有权、数据、报告和财务治理所需的证据联系起来。
该职位涵盖所有位置或托管情况下的资产，包括制造设备和工具、由供应商或合同制造商持有的资产、租赁资产以及其他第三方持有的设备。
您将深入了解操作细节——资产如何移动、记录在哪里出现分歧、哪些控制措施不起作用、哪些证据不完整，并利用这些信息在不牺牲速度或灵活性的前提下加强流程、问责制和系统。
在此职位中，您将：
- 设计并扩展从采购和资本化、托管和位置跟踪、转移、生命周期事件、库存和验证、减值或报废，到审计证据保留的端到端资产合规运营模型。
- 定义权威的资产记录和系统路线图，连接请求、合同、采购订单、发票、收货、库存数据、实物资产等。
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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 operating models from ambiguity and influence senior stakeholders and third parties without formal authority.
- Bring practical judgment using AI to improve analysis, documentation, exception management, or workflow design while maintaining appropriate data protection, human review, and validation.
- Enjoy turning complex, fragmented operations into practical standards, clear ownership, and scalable operating routines.
- Are comfortable moving between detailed problem-solving and cross-functional influence, without relying on formal authority.
- Balance a high bar for financial accuracy, audit readiness, and risk management with an enablement-focused approach that helps hardware teams move quickly.
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.