AI Deployment Manager - San Francisco

Details

About the Team

OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. The team specializes in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity. Work spans structured workshops, technical enablement, and adoption programs to help customers move from initial exposure to confident, scalable use. The team works closely with Sales, AI Success Engineers, Solutions Engineering, and Product to enable long-term customer success.

About the Role

The AI Deployment Manager is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. You will design and deliver technical enablement experiences that support a repeatable adoption framework—driving sustained activation, expanding breadth and depth of usage, and measurable business value across products including ChatGPT Enterprise, Codex, Agents, and the API. The role involves helping customers understand and correctly apply deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders. Success means accelerating customer confidence, increasing product adoption, supporting launches of new product capabilities, and translating technical features into tangible outcomes.

This role is based in OpenAI’s San Francisco HQ. The team uses a hybrid work model (3 days in the office per week) and offers relocation assistance to new employees.

Responsibilities

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities; define enablement patterns that support adoption across customer segments.
• Lead customer training and enablement across the full customer lifecycle: onboarding, expansion, optimization, and long-term adoption.
• Design and deliver high-impact training engagements: onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.
• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs for durable adoption at scale.
• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and a consistent customer experience.
• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.
• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

Requirements

• 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.
• Exceptional presentation and communication skills, particularly conveying technical concepts clearly to senior and executive-level audiences.
• Strong technical depth across coding, agents, and APIs, with practical understanding of how AI systems are built, evaluated, and operated in production (including RAG, evaluation strategies, fine-tuning, and tradeoffs).
• Proven experience leading structured technical trainings (API bootcamps, workshops, enablement sessions), designing learning journeys, handling live questions, and reasoning through problems in real time.
• Ability to connect technical features and capabilities to concrete business outcomes (productivity, efficiency, cost reduction, risk mitigation, revenue impact).
• Humble attitude, eagerness to help others, and willingness to learn missing knowledge to help the team and customers succeed.
• Comfortable thinking on their feet in live customer settings and adapting quickly to new information and priorities.
• Personal commitment to fostering the safe and ethical evolution of AI.

Benefits

• Base pay range: $190,000 – $240,000 per year (range may vary by market/location and individual factors). Offers equity; total compensation may include bonuses and other components.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses).
• 401(k) retirement plan with employer match.
• Paid parental leave, paid medical and caregiver leave, flexible PTO and paid company holidays.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Background checks and accommodation processes described in the posting.

Additional Information

• Workplace type: Hybrid (3 days in office per week) at San Francisco HQ.
• The role partners closely with Sales, AI Success Engineers, Solutions Engineering, and Product.
• OpenAI emphasizes safety, ethics, equal opportunity employment, and reasonable accommodations for applicants with disabilities.