The opportunity
The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins.
What you'll do
Own the technical partner journey for priority B2B plugins—from pitch and: readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance.
Identify strong plugin use cases, define crisp user journeys and expected: behaviors, and help partners focus on workflows where ChatGPT or Codex can create meaningful user value.
Write production and sample code, build prototypes and reference: implementations, and create the technical guidance, evals, launch checklists, and debugging tools that move partners from concept to production.
Debug API contracts, OAuth/login, tool invocation, latency, retries, rate: limits, observability, data model, and user-experience issues across partner and OpenAI systems.
Review partner architectures and implementation plans for API design, scopes: and permissions, data handling, safety, privacy, reliability, and long-term maintainability.
Contribute targeted fixes and improvements to ChatGPT, Codex, and the plugins: platform, including APIs, SDKs, docs, examples, internal tooling, partner debugging workflows, and launch guardrails.
What they're looking for
- Work with product, engineering, design, partnerships, legal, policy, support,: and go-to-market teams to make partner launches smooth and repeatable.
- Bring structured signal from partners back to product and engineering, and: turn patterns from successful launches into reusable playbooks, examples, platform requirements, and implementation guidance.
- Have 4-6 years of professional software engineering experience and are strong: enough technically to contribute to the platform itself while still enjoying hands-on coding.
- Have built and operated production APIs, backend services, developer: platforms, apps, plugins, connectors, or integrations and can reason across frontend, backend, auth, reliability, privacy, evaluations, and UX constraints.
