Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
API @ 4
Agentic AI
ChatGPT @ 4
Codex @ 4
Data Analysis @ 4
Databricks @ 4
Git @ 6
GitHub @ 6
Google Sheets @ 4
JavaScript @ 6
LLM @ 6
Mentoring
Python @ 6
SQL @ 4
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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, Codex, etc). The Product Ops team is responsible for providing operational expertise and leverage for product teams bringing solutions to market, and streamlining and automating org operations and information channels (across Applied and with adjacent functions) to set strong foundations for collaboration at scale.
About the Role
This Product Operations Manager role is for a senior IC.
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 products to market by running betas and launch activities.
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.
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
You might thrive in this role if you:
- Are regularly working with agentic AI tools to increase your leverage (e.g. Codex)
- Have an entrepreneurial spirit, bias for action, and high agency; 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.
- 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 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;
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.