AI Deployment Manager - San Francisco

About the team

The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and services. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work.

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. This role blends strong product fluency, instructional design, and customer advisory to design and deliver enablement experiences that support a repeatable adoption framework. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real-world workflows.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. This role is based in San Francisco with a hybrid work model of 3 days in the office per week; relocation assistance is offered.

Responsibilities

• Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations.
• Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development.
• Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.
• Design and deliver high-impact engagements, including 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 programs designed for durable, organization-wide adoption.
• 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 scalable enablement assets, playbooks, and best practices based on patterns observed across customers, helping translate product capabilities into repeatable adoption frameworks.
• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

Qualifications

• 6+ years of experience in customer-facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments.
• Exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive-level audiences.
• Strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real-world workflows and enterprise use cases.
• Experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time.
• Ability to identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base.
• Ability to connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact.
• Comfort thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum.
• Humble attitude, eagerness to help others succeed, and strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities.
• Personal commitment to fostering the safe and responsible evolution of AI.

Pay

Compensation range: $162,000 – $230,000.