Product Operations Manager, Codex at OpenAI

San Francisco, California, United States

OpenAI Logo
$240,000 – $310,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • Deep experience in Product Operations at one or more scaling tech companies
  • Experience working very closely with Product/Engineering and cross-functional (XFN) partners on central systems (e.g., launch calendar/launch readiness)
  • Experience bringing developer tools to market by running betas and launch activities
  • Experience with IDE extensions, CLIs, GitHub workflows, or agentic developer tooling
  • Deep empathy for developers and experience with developer tools (IDEs, CLIs, GitHub, CI/CD)
  • Comfortable working in a repo—reading diffs, reviewing PRs, running a CLI, and parsing logs
  • Entrepreneurial spirit and bias for action; ships v1s quickly and iterates to quality at scale
  • Ability to build systems/tools (via code/no-code/AI) to make internal processes simple, fast, and reliable
  • Ability to self-prioritize and context switch across multiple projects and stakeholders without losing the thread
  • Clear, persuasive communicator in writing and in the room; influences without authority
  • Engaged and curious about the rapidly evolving AI and agentic-systems landscape
  • Knows how to find the line between chaos and bureaucracy when setting up processes
  • Can nurture a fun, inclusive, high-ownership team culture
  • Can understand codebases and agent behavior well enough to reason about trade-offs and edge cases
  • Appreciates the technical nuances of LLM-powered agents (tool use, evals, telemetry, safety)

Responsibilities

  • Stand up and operate alpha/beta/GA programs with clear entry/exit criteria, recruiting design partners, running internal dogfooding, and transforming qualitative/quantitative insights into prioritized product work
  • Own the Codex launch calendar and readiness cadence; run XFN checkpoints across Product, Eng, Research, Safety, Security, Legal, Support, and GTM
  • Build the systems to capture, triage, and synthesize developer feedback (e.g., PR reviews, repo issues, CLI/IDE telemetry, GitHub code review signals) into actionable recommendations
  • Lead coordination for high-impact moments (e.g., Dev Day demos, rollout waves, partner showcases), managing timelines, resources, and communications to ensure successful outcomes
  • Build internal tools/automations (code/no-code/AI) that scale Codex operations: feedback intake, issue taxonomy, design-partner portal, release notes, changelog, and program health reporting
  • Collaborate with DevRel, Docs/Education, Support, and Field teams to deliver tutorials, sample repos, onboarding flows, and internal enablement for new capabilities
  • Contribute to building and scaling the Product Operations function at OpenAI—codifying best practices, raising the quality bar, and mentoring peers

Skills

Key technologies and capabilities for this role

Product OperationsLaunch ManagementBeta ProgramsAlpha ProgramsIDE ExtensionsCLIGitHub WorkflowsDeveloper ToolingCross-Functional CollaborationDogfoodingLaunch Calendar

Questions & Answers

Common questions about this position

What is the salary range for the Product Operations Manager role?

The salary range is $240K - $310K.

Is this role remote or based in an office?

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees.

What skills and experience are required for this position?

The role requires deep experience in Product Operations at scaling tech companies, working closely with Product/Engineering and cross-functional partners on central systems and developer tools. Experience with IDE extensions, CLIs, GitHub workflows, or agentic developer tooling is very helpful.

What is the team structure and focus for this role?

The role is a senior individual contributor partnering closely with leaders of the Codex product area within OpenAI’s Applied AI org. The Product Ops team streamlines operations across product, research, engineering, safety, and go-to-market for Codex, OpenAI’s software engineering agent for developers.

What makes a strong candidate for this Product Operations Manager role?

Ideal candidates have deep Product Operations experience at scaling tech companies, expertise in launch processes and developer tools like IDEs and CLIs, and strong cross-functional collaboration skills. Deep empathy for users is also a key trait for thriving in this role.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health insurance
Dental and vision insurance
Flexible spending account for healthcare and dependent care
Mental healthcare service
Fertility treatment coverage
401(k) with generous matching
20-week paid parental leave
Life insurance (complimentary)
AD&D insurance (complimentary)
Short-term/long-term disability insurance (complimentary)
Optional buy-up life insurance
Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
Annual learning & development stipend
Regular team happy hours and outings
Daily catered lunch and dinner
Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.
Customizable ChatGPT personas could lead to privacy and ethical concerns.
Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.
OpenAI's AI models, like Sora, offer unique video creation from text descriptions.
OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.
Customizable ChatGPT personas enhance user engagement and satisfaction.
OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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