Product Operations Manager, Codex

About the Team

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 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 IC to partner closely with the leaders of the Codex product area.

Our ideal candidate has deep experience in Product Operations at one or more scaling tech companies, working very closely with Product/Engineering and XFN partners on both central systems (e.g., launch calendar / launch readiness) and bringing developer tools to market by running betas and launch activities. Experience with IDE extensions, CLIs, GitHub workflows, or agentic developer tooling will be very helpful in this role.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• 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—codifying best practices, raising the quality bar, and mentoring peers.

You might thrive in this role if you:

• Have deep empathy for developers and experience with developer tools (IDEs, CLIs, GitHub, CI/CD).
• Are comfortable working in a repo—reading diffs, reviewing PRs, running a CLI, and parsing logs.
• Have an entrepreneurial spirit and bias for action; you ship v1s quickly and iterate to quality at scale.
• Can build systems/tools (via code / no‑code / AI) to make internal processes simple, fast, and reliable.
• Can self‑prioritize and context switch across multiple projects and stakeholders without losing the thread.
• Are a clear, persuasive communicator in writing and in the room; you influence without authority.
• Are engaged and curious about the rapidly evolving AI and agentic‑systems landscape.
• Know 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.
• Appreciate the technical nuances of LLM‑powered agents (tool use, evals, telemetry, safety constraints).

Specific technologies / skills that will be helpful in this role

• Experience with LLM APIs (text generation, structured outputs, function calling)
• Programming Languages: Python, JavaScript (for automation scripts).
• No-Code/Low-Code Platforms: e.g. Airtable, Zapier, Retool.
• Data Analysis & Visualization Tools: Experience with data languages/tools like SQL, Google Sheets automations, Databricks.
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• Git & GitHub.
• IDE experience (VS Code/Cursor) and familiarity with extension ecosystems.
• Terminal proficiency and comfort with CLIs;
• Programming Languages: Python, JavaScript (for automation scripts and internal tools).
• No‑Code/Low‑Code Platforms: Airtable, Retool, Zapier (or equivalents).
• Data & Experimentation: SQL; Google Sheets automations; Databricks/BigQuery; product analytics (e.g., Looker/Mixpanel/Amplitude);