AI Deployment Manager - San Francisco

OpenAI OpenAI · AI Frontier · San Francisco, CA · Go To Market

This role focuses on post-sales technical enablement and adoption of OpenAI's AI products (ChatGPT Enterprise, Codex, Agents, API) for enterprise customers. The AI Deployment Manager designs and delivers training, workshops, and adoption programs to help customers effectively use and derive business value from AI capabilities, ensuring reliable and scalable deployment.

What you'd actually do

  1. Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.
  2. Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.
  3. Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.
  4. Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.
  5. Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

Skills

Required

  • Customer-facing experience
  • Instructional design
  • Technical fluency in AI products (ChatGPT Enterprise, Codex, Agents, API)
  • Presentation and communication skills
  • Ability to connect technical features to business outcomes
  • Experience with RAG, evaluation strategies, fine-tuning

Nice to have

  • Experience engaging C-level and senior technical audiences
  • Experience in complex enterprise environments
  • Ability to design learning journeys
  • Handling live questions and reasoning through problems in real time
  • Comfortable thinking on their feet in live customer settings
  • Adaptability to new information and shifting priorities
  • Commitment to safe and ethical AI evolution

What the JD emphasized

  • 4+ years of experience in customer-facing or instructional roles
  • Strong technical depth across coding, agents, and APIs
  • Proven experience leading structured technical trainings

Other signals

  • customer enablement
  • product adoption
  • technical training
  • customer advisory