GRC Program Manager, Assurance Engineering & Control Systems

at OpenAI
USD 216,000-252,000 per year
MIDDLE
✅ Hybrid
✅ Relocation

Tech Stack

AI @ 3 API @ 5 Audit @ 3 Codex @ 3 Compliance SQL @ 3 Security @ 3

Details

OpenAI’s Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how its products and systems 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.

The role involves owning consequential audits while improving the control and evidence systems behind them. The successful candidate 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.

Responsibilities

  • 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 prior 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.

Requirements

  • 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, including defining the user, scope, milestones, ownership, adoption, and measurable outcome.
  • Clear, constructive partnership with Security, Engineering, Infrastructure, Product, Privacy, Legal, and audit teams.
  • Familiarity with frameworks such as SOC 2, ISO 27001/27017, PCI DSS, NIST, or FedRAMP is helpful.
  • A specific degree, certification, or prior access to internal OpenAI tools is not required.

Benefits

  • Medical, dental, and vision insurance for employees and their families, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for health, dependent care, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, and caregiver leave.
  • Paid time off, company holidays, office closures, and paid sick or safe time as required by applicable law.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily meals in offices and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Equity, performance-related bonuses for eligible employees, and additional taxable fringe benefits may also be provided.

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