Product Operations Manager

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 launch calendar and readiness cadence for a product group; run XFN checkpoints across Product, Eng, Research, Safety, Security, Legal, Support, and GTM.
• Build the systems to capture, triage, and synthesize user feedback 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 operations: Feedback intake, issue taxonomy, release notes, etc.
• Contribute to building and scaling the Product Operations function at OpenAI—codifying best practices, raising the quality bar, and mentoring peers.

Requirements

• Deep experience in Product Operations at scaling tech companies, working closely with Product/Engineering and XFN partners on central systems (e.g., launch calendar / launch readiness) and bringing products to market by running betas and launch activities.
• Regularly working with agentic AI tools to increase leverage (e.g., Codex).
• Entrepreneurial spirit, bias for action, and high agency; 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.
• Clear, persuasive communicator in writing and in the room; influence without authority.
• 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.
• Appreciate the technical nuances of LLM-powered agents (tool use, evals, telemetry, safety constraints).

Skills

Specific technologies / skills:

• Experience with OpenAI tools and APIs (ChatGPT, Codex, text generation, structured outputs, function calling, etc).
• Programming Languages: Python, JavaScript (for automation scripts).
• No-Code/Low-Code Platforms: Airtable, Retool, Zapier (or equivalents).
• Data Analysis & Visualization Tools: Experience with data languages/tools like SQL, Google Sheets automations, Databricks.
• Git & GitHub.
• Terminal proficiency and comfort with CLIs.