Software Engineer, Plugin Ecosystem
OpenAI
- Pay
- $185k–$490k
- Workplace
- Hybrid
- Location
- San Francisco · California · United States
- First seen
- 2 hours ago
- Last seen
- 2 hours ago
- Board
- Ashby
Summary
About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex.
Posting
About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. 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: - Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. - Build intuitive experiences that help users discover, install, and use plugins to get more done. - Make plugins easier to create, test, publish, update, and share. - Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. - Improve plugin reliability and interaction quality across ChatGPT and Codex, including interactive apps, with clear error messages and recovery paths. - Build consistent permissions, approvals, and admin controls that help individuals and organizations confidently adopt plugins. - Work with developers and partners to turn recurring problems into improvements to the platform, tooling, and documentation. - Collaborate across engineering, Product, Research, Security, and Trust & Safety to scale plugin infrastructure and d