# Technical Community Program Manager, Pro

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** New York, NY
**Role:** Technical Program Management
**Salary:** $216k – $240k/yr
**Skills:** ChatGPT, Codex, AI Agents, APIs, Automation, technical prototyping, Technical Writing, User Research, Community Building, product feedback
**Posted:** 2026-07-21

> Technical Community Program Manager scaling a high-signal community of advanced ChatGPT Pro users. Run programming and events, conduct interviews, support technical workflows with Codex/agents, curate case studies and insights, and bridge users with Product/Research teams. Requires strong technical fluency, AI tool experience, writing skills, and community-building taste.

## Job Description

## Responsibilities
- Manage and deepen engagement with the ChatGPT Pro cohort of advanced users across disciplines.
- Design and execute high-touch community programming, including product demos, office hours, show-and-tell sessions, peer-learning formats, and in-person events.
- Build repeatable systems for onboarding, engagement, retention, and member communications.
- Identify, recruit, and onboard new individuals doing high-impact work with ChatGPT and Codex.
- Conduct in-depth interviews and maintain ongoing relationships to understand workflows, decision-making, and real-world applications.
- Act as a trusted point of contact between these users and OpenAI.
- Support advanced Pro users in understanding and operationalizing new capabilities across ChatGPT, Codex, agents, and related products.
- Run technical office hours, workflow reviews, demos, and peer-learning sessions for users building complex systems.
- Partner with DevEx, Product, and Research to route technical questions, bugs, edge cases, and workflow feedback to the right teams.
- Translate between highly technical users, non-technical experts becoming builders, and internal teams.
- Curate and evaluate user chats and workflows for editorial publication, internal learning, and product feedback.
- Identify patterns across use cases and distill them into actionable insights, educational assets, and reusable examples.
- Uphold technical accuracy, domain accuracy, user consent, and privacy across fields including science, law, finance, education, and creative work.
- Produce user profiles and case studies.
- Contribute to editorial channels including Substack, social content, newsletters, and internal storytelling.
- Organize and run small cohorts of Pro users to test new models and features.
- Document experiments, successes, and friction points; synthesize feedback.
- Spot emerging trends in AI usage, track shifts in workflows, prompting strategies, and tool adoption; surface recommendations to internal teams.

## Requirements
- Exceptional curiosity about how people work and solve problems.
- Highly organized and able to build systems, manage competing priorities, and close loops reliably.
- Good taste; know what is interesting, novel, and worth sharing.
- Strong technical fluency: understand technical workflows, reason through product behavior, and communicate credibly with builders.
- Hands-on experience using AI tools for complex work, ideally including Codex, agents, APIs, automation, or technical prototyping.
- Ability to help users break down workflows, identify friction, document edge cases, and translate technical usage into clear product feedback.
- Strong writing and editing skills, especially for turning complex technical behavior into precise, accessible stories and examples.

## Nice-to-Haves
- Experience as a developer advocate or technical community builder (especially with expert consumer users).
- Technically fluent AI power user who has built sophisticated workflows with Codex, agents, automation, or APIs.
- Product-minded technical writer or developer educator who can turn complex workflows into clear examples, stories, and feedback.
- Strong judgment about what is worth attention.
- Genuine interest in how people think and work.
- Ability to operate independently and build from scratch.
- Comfort moving across disciplines and levels of abstraction.
- Ability to distinguish signal from noise and document insights accurately.

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