AI Deployment Manager - San Francisco

OpenAI
San Francisco
Workplace: HybridFull timeUSD 190,000 - 240,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Presentation","Collaboration","Customer-facing","Leadership"]

Lead post-sales technical enablement for OpenAI products, designing and delivering trainings and adoption programs to drive activation, breadth of usage, and measurable business value across the product suite. Collaborate with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure seamless post-sale handoff and a durable, scalable adoption framework in enterprise environments.

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FursaFursa
OpenAI
OpenAI
6 months ago

AI Deployment Manager - San Francisco

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead post-sales technical enablement for OpenAI products, designing and delivering trainings and adoption programs to drive activation, breadth of usage, and measurable business value across the product suite. Collaborate with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure seamless post-sale handoff and a durable, scalable adoption framework in enterprise environments.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • ā€¢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.
  • ā€¢Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.
  • ā€¢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.
  • ā€¢Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.
  • ā€¢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.

Pay and Benefits

Salary: USD 190,000 - 240,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key Requirements

  • ā€¢4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.
  • ā€¢Exceptional presentation and communication skills, particularly when conveying the value of technical concepts to senior and executive-level audiences.
  • ā€¢Strong technical depth across coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production (e.g., RAG, evaluation strategies, fine-tuning).
  • ā€¢Proven experience leading structured technical trainings, API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys and handle live questions in real time.
  • ā€¢Ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact.
Experience:4+ yearsEnterprise softwareAI/MLSaaS
Skills:CommunicationPresentationCollaborationCustomer-facingLeadership
Languages:English
Tech Stack:APIsRAGFine-tuningAI systemsCodingWorkflows

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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