OpenAI

GRC Program Manager, Assurance Engineering & Control Systems

OpenAI$135K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of audit, security, or regulatory experience
  • Strong understanding of control design and effectiveness
  • Technical expertise in cloud systems, APIs, and data flows
  • Experience with AI-assisted tools like Codex for coding tasks
  • Proficient in using SQL and structured data for operational solutions
  • Ability to create cross-framework reusable controls
  • Collaborative mindset, able to work with diverse teams across functions

Responsibilities

  • Lead various types of audits from scoping to conclusion
  • Create a unified control framework linking risk and evidence
  • Validate current control frameworks against actual system scope
  • Utilize Codex for automating evidence checks and workflows
  • Collaborate with engineering on system architecture and vulnerabilities
  • Design tools for workflow maintenance and integrity
  • Streamline operational tasks for control owners through measurable improvements
  • Define project roadmaps and milestones for cross-functional coordination

Benefits

  • Opportunity to work in a forward-thinking AI environment
  • Chance to shape audit processes and frameworks
  • Collaborative work atmosphere with diverse teams
  • Impactful role influencing security and regulatory outcomes
  • Access to cutting-edge tools and technologies
  • Focus on continuous improvement and innovation in audits
Full Job Description
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.


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.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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