Product Operations Manager, Codex

Details

About the Team

OpenAI’s Applied AI org is the product development arm of the company, bringing the power of advanced AI models to the world via APIs and user-interface products (ChatGPT, Sora, etc). The Product Ops team is responsible for streamlining and automating org operations and information channels (across Applied and with adjacent functions) to set strong foundations for collaboration at scale, and providing operational expertise and leverage for product teams bringing solutions to market.

Codex is OpenAI’s software engineering agent for developers—operating locally via a CLI and IDE extensions and in the cloud via Codex Web—to help write features, fix bugs, propose pull requests, and accelerate code review. The Codex team works across product, research, engineering, safety, and go-to-market to ship reliable agent workflows that fit naturally into developer environments (terminal/IDE, cloud sandboxes, and GitHub).

About the Role

This Product Operations Manager role is for a senior individual contributor partnering closely with the leaders of the Codex product area. The role is based in San Francisco, CA, uses a hybrid work model (3 days in the office per week), and OpenAI offers relocation assistance to new employees.

This role requires deep Product Operations experience at scaling tech companies and close collaboration with Product/Engineering and cross-functional partners on central systems (launch calendar, launch readiness) and running betas/launches for developer tools. Experience with IDE extensions, CLIs, GitHub workflows, or agentic developer tooling is especially helpful.

Responsibilities

• Stand up and operate alpha/beta/GA programs with clear entry/exit criteria, recruit design partners, run internal dogfooding, and transform qualitative/quantitative insights into prioritized product work.
• Own the Codex launch calendar and readiness cadence; run cross-functional checkpoints across Product, Engineering, Research, Safety, Security, Legal, Support, and GTM.
• Build 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 (Dev Day demos, rollout waves, partner showcases): manage timelines, resources, and communications.
• Build internal tools/automations (code / no-code / AI) to 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—codify best practices, raise the quality bar, and mentor peers.

Requirements / What will help you thrive

• 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, parsing logs.
• Entrepreneurial spirit and bias for action: ship v1s quickly and iterate to quality at scale.
• Ability to build systems/tools (code / no-code / AI) to simplify internal processes.
• Strong prioritization and ability to context-switch across multiple projects and stakeholders.
• Clear, persuasive written and verbal communication; influence without formal authority.
• Engagement and curiosity about AI and agentic systems landscapes.
• Good judgment in setting up processes that balance speed and rigor.
• Ability to understand codebases and agent behavior well enough to reason about trade-offs and edge cases.
• Appreciation for technical nuances of LLM-powered agents (tool use, evals, telemetry, safety constraints).

Specific technologies / skills that will be helpful

• OpenAI LLM APIs (text generation, structured outputs, function calling)
• Programming languages: Python, JavaScript (for automation scripts and internal tools)
• No-code/low-code platforms: Airtable, Zapier, Retool (or equivalents)
• Data analysis & visualization: SQL, Google Sheets automations, Databricks, BigQuery
• Product analytics tooling: Looker / Mixpanel / Amplitude
• Git & GitHub
• IDE experience (VS Code / Cursor) and familiarity with extension ecosystems
• Terminal proficiency and comfort with CLIs
• Experience running betas, internal dogfooding, and launch readiness processes

Compensation & Benefits

• Base salary range: $180,000 – $240,000 (may vary by market location, job-related knowledge, skills, and experience). Offers equity and additional compensation components may apply.
• Benefits include medical/dental/vision insurance, HSA contributions, FSA accounts, 401(k) with employer match, paid parental and medical/caregiver leave, PTO, paid company holidays, mental health support, employer-paid life and disability coverage, learning & development stipend, daily meals and meal credits, relocation support for eligible employees, and other fringe benefits.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diverse perspectives, and equal opportunity employment. Background checks are administered in accordance with applicable law. Reasonable accommodations for applicants with disabilities are available upon request.