AI Deployment Manager - Core Ecosystem, EDU

About the Role

The EDU AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services to educational institutions across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable impact across OpenAI’s product suite, including ChatGPT Enterprise and Agents.

This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from faculty, students, and staff to technical practitioners and institutional leadership, 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 institutional readiness and AI literacy, increasing product adoption across campuses, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teaching, learning, research, and operations. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable impact.

This role is based in our San Francisco or New York City office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

• Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across faculty, students, IT administrators, instructional designers, and academic leadership across educational institutions.
• 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, with emphasis on teaching, learning, and research workflows.
• 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, leadership briefings, hackathons, and hands-on workshops for audiences ranging from senior faculty to students.
• Drive customer activation, sustained usage, and measurable value through structured enablement programs designed for durable, institution-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.

You’ll thrive in this role if you

• Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging leadership and technical audiences in complex large-scale institutional or educational environments.
• Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences.
• Have 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.
• Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time.
• Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base.