We are looking for an experienced Product Lifecycle Assurance IC to help scale OpenAI’s GRC function across our product stack to ensure products address customer and regulatory compliance requirements at launch and regressions are detected promptly and corrected. You will partner closely with Product, Security, Legal, and Privacy teams to make sure OpenAI can move quickly while maintaining our security, privacy and compliance claims and giving customers, auditors, and regulators assurance about how OpenAI handles user data. You are responsible for product assurance end-to-end from inception to post-launch (continuous) monitoring. You leverage existing workflows, reviews, and data and enhance, augment and build the components needed to create an end-to-end product assurance program. This role is not about supporting SOC or ISO audits; it's a highly cross-functional and deeply technical operations role to ensure that OAI products meet the compliance bar at launch, regressions are prevented and detected, and our compliance state can be evidenced. This role also helps ensure that our product launch governance program operates effectively across key safety, privacy, legal and security stakeholders and lessons-learned from incidents and regressions are used to improve the program. You or in partnership with engineering teams, build key controls in our infrastructure stack, developer workflows and launch tooling to provide developers with guardrails, perform CI/CD conformance checks, and surface launches that need GRC guidance. You ensure that teams have the information needed to design and launch safety and meet them where they are. You exercise sound judgement in making high-stakes decisions related to product launch risk and controls. You are comfortable working in high velocity, low friction development environments. Your work goes across team boundaries and you assist and enable other teams to realize product assurance objectives. You should be comfortable with complex (Kubernetes) system architectures and dataflows, working with engineering teams to understand what could go wrong and where and how controls should be applied. You should be comfortable working with Privacy engineering and Data Science to understand data maps and database schemas and leverage existing processes and controls to further product assurance goals.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed