Product Operations Manager

OpenAI•San Francisco, CA
•$257,000 - $285,000•Hybrid

About The Position

OpenAI’s Applied AI organization develops products that bring advanced AI models to the world through APIs and user-interface products. The Product Operations team provides operational expertise and leverage to product teams, streamlines and automates organizational operations and information channels, and establishes foundations for collaboration at scale. This is a senior individual-contributor role for someone with deep Product Operations experience at scaling technology companies. The role works closely with Product, Engineering, and cross-functional partners on central systems such as launch calendars and launch readiness, as well as product betas and launch activities. It is based in San Francisco, California, with a hybrid schedule of three days in the office per week. Relocation assistance is offered to new employees.

Requirements

  • Deep experience in Product Operations at one or more scaling technology companies.
  • Experience working closely with Product, Engineering, and cross-functional partners on central systems and bringing products to market through betas and launch activities.
  • Ability to self-prioritize and context-switch across multiple projects and stakeholders.
  • Clear and persuasive written and verbal communication skills, with the ability to influence without authority.
  • Comfort building systems and tools using code, no-code platforms, or AI.
  • Appreciation of the technical nuances of LLM-powered agents, including tool use, evaluations, telemetry, and safety constraints.

Nice To Haves

  • Regular use of agentic AI tools to increase leverage, such as Dots or Codex.
  • Experience with OpenAI tools and APIs, including ChatGPT, Codex, text generation, structured outputs, and function calling.
  • Programming experience with Python or JavaScript, particularly for automation scripts.
  • Experience with no-code or low-code platforms such as Airtable, Retool, or Zapier, or equivalents.
  • Experience with data analysis and visualization tools or languages such as SQL, Google Sheets automations, or Databricks.
  • Experience with Git and GitHub.
  • Terminal proficiency and comfort with command-line interfaces.

Responsibilities

  • Establish and operate alpha, beta, and general-availability programs with clear entry and exit criteria; recruit design partners, run internal dogfooding, and turn qualitative and quantitative insights into prioritized product work.
  • Own the launch calendar and readiness cadence for a product group, and run cross-functional checkpoints across Product, Engineering, Research, Safety, Security, Legal, Support, and Go-to-Market.
  • Build systems to capture, triage, and synthesize user feedback into actionable recommendations.
  • Coordinate high-impact moments such as Dev Day demos, rollout waves, and partner showcases, managing timelines, resources, and communications.
  • Build internal tools and automations using code, no-code platforms, or AI to scale operations such as feedback intake, issue taxonomy, and release notes.
  • Help build and scale the Product Operations function by codifying best practices, raising the quality bar, and mentoring peers.

Benefits

  • Relocation assistance to new employees
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