AI Deployment Manager - Core Ecosystem, EDU

Details

About the Team

The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. The mission is to help customers successfully adopt and operationalize AI across their organizations through structured training, technical enablement, and services. In EDU, this includes enabling AI literacy, campus-wide adoption, and supporting teaching, staff, learning, and research workflows.

About the Role

The EDU AI Deployment Manager is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services to educational institutions across OpenAI’s product suite. The 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 products, including ChatGPT Enterprise and Agents.

This role blends 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. Success means accelerating institutional readiness and AI literacy, increasing product adoption across campuses, supporting launches of new product capabilities, and translating product features into tangible outcomes across teaching, learning, research, and operations.

This role is based in the San Francisco or New York City office. The team uses a hybrid work model of 3 days in the office per week and offers relocation assistance to new employees.

Responsibilities

• Own the enablement of OpenAI products (including ChatGPT Enterprise and Agents) and define enablement patterns that support adoption across faculty, students, IT administrators, instructional designers, and academic leadership.
• Serve as a Subject Matter Expert (SME) for designated product areas: build deep expertise, support internal enablement, identify emerging customer use cases, and aggregate customer feedback to inform product development with emphasis on teaching, learning, and research workflows.
• Lead customer enablement across the full lifecycle: onboarding, expansion, optimization, and long-term adoption.
• Design and deliver high-impact engagements: onboarding sessions, advanced capability trainings, leadership briefings, hackathons, and hands-on workshops for audiences 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 handoffs and a consistent customer experience.
• Develop scalable enablement assets, playbooks, and best practices based on patterns observed across customers to 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.

Requirements

• 6+ years of experience in customer-facing, enablement, or instructional roles, engaging leadership and technical audiences in complex large-scale institutional or educational 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 apply 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.

Benefits

• Base pay may vary depending on market location, job-related knowledge, skills, and experience; total compensation includes equity and potential performance-related bonuses.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), paid medical and caregiver leave (up to 8 weeks).
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees; 13+ paid company holidays and additional coordinated office closures.
• 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; additional taxable fringe benefits (charitable donation matching, wellness stipends).

About OpenAI

OpenAI is an AI research and deployment company focused on ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, inclusion of diverse perspectives, and equal opportunity in hiring. Background checks and applicable fair chance considerations are described for US-based candidates.