AI Deployment Engineer, Ecosystem - Plugins

The Consensus; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model

Job summary

OpenAI is seeking an AI Deployment Engineer to design, build, and maintain high-utility plugins for ChatGPT and Codex. You will collaborate with partner teams and internal stakeholders to translate ambiguous product needs into production-ready integrations, write code, and drive successful launches.

You will own the partner journey, review architectures, and contribute to the plugin platform with a focus on reliability, privacy, and user value.

Qualifications

• Ability to design robust APIs and specify contracts for partner integrations.
• Experience building or operating production APIs and backend services.
• Strong understanding of authentication, authorization, and data privacy.
• Proven ability to prototype, review implementations, and guide partners to production-ready solutions.
• Excellent written and verbal communication for cross-functional and external teams.

Responsibilities

• Own the partner journey from pitch to launch and ongoing maintenance.
• Identify high-value plugin use cases and translate them into concrete user flows.
• Write production code, build prototypes, and create guidance for partners.

Skills

API design

OAuth/login flows

Webhooks

Observability

Distributed systems debugging

Prototype development

Product thinking

Technical leadership

Clear communication

Code review & collaboration

Tools

SDKs

Monorepo tooling

Job description

About the Team

The Ecosystem AI Deployment Engineering (ADE) 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.

About the Role

We are looking for an AI Deployment Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high‑utility plugins for ChatGPT and Codex. This is a hands‑on, partner‑facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production‑ready integrations.

You will work across partner product and engineering teams and OpenAI’s product, engineering, partnerships, legal, policy, design, and go‑to‑market teams. Your responsibilities include identifying the right use cases, prototyping and reviewing implementations, running evaluations, debugging issues across systems, guiding partners through submission and review, and supporting launch and post‑launch iteration. The ideal candidate moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives.

In this role, you will:

• 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.
• 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.

You might thrive in this role if you:

• 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.
• Bring strong product sense and can distinguish a plugin that “works” from one that will be genuinely useful to users.
• Communicate clearly with external engineers, product leaders, executives, and internal cross‑functional stakeholders.
• Can make ambiguous partner ideas concrete through runnable prototypes, API contracts, technical specs, and pragmatic implementation guidance.
• Are comfortable reading unfamiliar code, making targeted platform changes, and debugging distributed systems with logs, traces, metrics, and experiments.
• Care deeply about user trust, privacy, data handling, and product quality in AI‑powered experiences.
• Balance urgency with judgment and can keep launches moving while staying precise about details that matter.

Preferred qualifications

• Experience with OAuth/login flows, API design, webhooks, schemas, rate limits, observability, SDKs, and production launch operations.
• Prior customer‑facing or partner‑facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software.
• Familiarity with AI products, LLM APIs, tool calling, MCP, ChatGPT or Codex surfaces, developer platforms, or marketplace ecosystems.
• Comfortable making targeted changes across backend services, frontend surfaces, SDKs, docs, internal tools, or monorepo codebases when needed.
• Strong written communication skills, including docs, implementation notes, launch plans, and partner‑facing technical guidance.

Benefits

This role is based in our San Francisco office, uses a hybrid work model of 3 days in the office per week, and offers relocation assistance to new employees.

We are an equal‑opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.