Jobs/San Francisco/AI Deployment Engineer- ChatGPT Ecosystem
San Francisco, California, United States

AI Deployment Engineer- ChatGPT Ecosystem

About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and product

Company
OpenAI
Compensation
$252K - $335K
Schedule
Full-Time
Role overview

What this role actually needs.

AI Deployment Engineer- ChatGPT Ecosystem at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and product

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Deliver an exceptional partner experience by providing technical expertise, scoping use cases, and supporting the development of Apps in ChatGPT and commerce checkout experiences with technical stakeholders and strategic partners.
  • Partner with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and high-impact launches.
  • Guide partners on best practices for leveraging the OpenAI API and ChatGPT to create secure, scalable, and differentiated experiences.
  • Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
  • Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges.
  • Gather partner feedback and represent the voice of the ecosystem to internal teams, helping shape product roadmaps and future partner programs.
Requirements

What a strong candidate brings

This keeps the job page specific, readable, and easier to match.

  • Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges.
  • Gather partner feedback and represent the voice of the ecosystem to internal teams, helping shape product roadmaps and future partner programs.
  • Have 5+ years of experience in a technical, customer-facing role such as Solutions Engineer, Solutions Architect, or Partner Engineer.
  • Demonstrate a strong understanding of and experience working with LLMs, MCP, REST APIs, Python, JavaScript, and front-end design and development experience
  • Have experience supporting ecosystem or partner motions, including co-development or joint go-to-market programs.
  • Are an exceptional communicator who can translate complex technical concepts to business stakeholders and executives.
Benefits

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    Interview themes

    Artificial IntelligenceOn-siteaillmresearchpython

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