Technical Success - San Francisco
About the Team
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.
About the Role
We are looking for an Applied AI Engineer to help strategic partners design 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. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives.
This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex.
This role is based in our San Francisco office. 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:
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Own the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance.
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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.
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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.
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Debug API contracts, OAuth/login, tool invocation, latency, retries, rate limits, observability, data model, and user-experience issues across partner and OpenAI systems.
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Review partner architectures and implementation plans for API design, scopes and permissions, data handling, safety, privacy, reliability, and long-term maintainability.
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Contribute targeted fixes and improvements to ChatGPT, including APIs, SDKs, docs, examples, internal tooling, partner debugging workflows, and launch guardrails.
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Work with product, engineering, design, partnerships, legal, policy, support, and go-to-market teams to make partner launches smooth and repeatable.
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Bring structured signal from partners back to product and engineering requirements, and implementation guidance.
You might thrive in this role if you:
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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.
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Have built and operated production APIss, apps, plugins, connectors, or integrations and can reason across frontend, backend, auth, reliability, privacy, evaluations, and UX constraints.
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Bring strong product sense and can distinguish a plugin that “works” from one that will be genuinely useful to users.
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Communicate clearly with external engineers, product leaders, executives, and internal cross-functional stakeholders.
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Can make ambiguous partner ideas concrete through runnable prototypes, API contracts, technical specs, and pragmatic implementation guidance.
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Are comfortable reading unfamiliar code changes, and debugging distributed systems with logs, traces, metrics, and experiments.
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Care deeply about user trust, privacy, data handling, and product quality in AI-powered experiences.
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Balance urgency with judgment and can keep launches moving while staying precise about details that matter.
Preferred qualifications:
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Experience with OAuth/login flows, API design, webhooks, schemas, rate limits, observability, SDKs, and production launch operations.
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Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software.
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Familiarity with AI productss, or marketplace ecosystems.
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Comfortable making targeted changes across backend services, frontend surfaces, SDKs, docs, internal tools, or monorepo codebases when needed.
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Strong written communication skills, including docs, implementation notes, launch plans, and partner-facing technical guidance.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.
We are an equal opportunity employeration, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$197K – $280K + Offers Equity