GRC Program Manager, Assurance Engineering & Control Systems

About the Team OpenAI’s Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how our products and systems actually operate. Assurance Operations partners with Security, Engineering, Infrastructure, Product, Privacy, and Legal to make controls provable, risk decisions explicit, and audit readiness a result of well-designed systems. About the Role We are hiring a technical, product-minded GRC builder who can own consequential audits while improving the control and evidence systems behind them. You will build a reusable common control framework, use Codex to automate assurance work, validate changing system scope, and turn repeated audit friction into measurable improvements. We are looking for someone who questions inherited assumptions, solves novel problems creatively, works closely with engineers, and makes the next audit easier by improving the underlying system. You’ll be responsible for: - Lead external, internal, customer, and certification audit work from scoping through evidence review, fieldwork, remediation, and closeout. - Build a common control framework linking risk, control intent, implementation, owner, system, environment, evidence, and applicable frameworks. - Validate actual scope and ownership instead of assuming last year's controls, product boundaries, or evidence remain accurate. - Use Codex to build and test evidence checks, control mappings, request triage, owner workflows, monitoring, and remediation reporting. - Partner with engineers on cloud architecture, identity, logging, data flows, software changes, vulnerabilities, and control effectiveness. - Design maintainable, permission-aware tools that preserve source provenance, human review, and evidence integrity. - Reduce repeated requests and operational burden for control owners through measurable workflow improvements. - Define roadmaps, decision rights, milestones, success metrics, and clear cross-functional escalations. We’re looking for someone with: - Direct ownership of meaningful audit, security, customer-assurance, or regulatory outcomes. - Practical knowledge of control design, evidence, testing, operating effectiveness, and remediation. - Technical fluency across cloud systems, identity, logging, APIs, data flows, and system boundaries. - Ability to use Codex or comparable AI-assisted development tools to build, run, inspect, and test a working solution. - Experience using code, SQL, APIs, structured data, automation, or data workflows to solve an operational problem. - Ability to design reusable cross-framework controls without erasing framework-specific test and evidence requirements. - First-principles curiosity, creative problem solving, intellectual humility, and the ability to update when facts change. - Product and program judgment: define the user, scope, milestones, ownership, adoption, and measurable outcome. - Clear, constructive partnership with Security, Engineering, Infrastructure, Product, Privacy, Legal, and audit teams. - Frameworks such as SOC 2, ISO 27001/27017, PCI DSS, NIST, or FedRAMP are helpful; a specific degree, certification, or prior access to internal OpenAI tools is not required. 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,

Direct ownership of meaningful audit, security, customer-assurance, or regulatory outcomes. Practical knowledge of control design, evidence, testing, operating effectiveness, and remediation. Technical fluency across cloud systems, identity, logging, APIs, data flows, and system boundaries. Ability to use Codex or comparable AI-assisted development tools to build, run, inspect, and test a working solution. Experience using code, SQL, APIs, structured data, automation, or data workflows to solve an operational problem. Ability to design reusable cross-framework controls without erasing framework-specific test and evidence requirements.