About the company
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
About the role
The Enablement Lead, Builder role (AI Deployment Manager) is a specialist post-sales technical enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. You will design and deliver technical learning experiences covering OpenAI APIs, Codex, agents, evaluations, and related platform capabilities. You will work with engineers, AI and platform teams, administrators, security stakeholders, product leaders, and executive sponsors. This role blends deep technical fluency, instructional design, and customer advisory. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
Responsibilities
- Own the technical enablement of OpenAI products, including OpenAI APIs, Codex, Agents, Evaluations and other platform capabilities
- Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption
- Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops
- Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs
- Partner closely with Sales, Solutions Architecture, and Product teams to define an effective enablement plan tailored to each customer’s use case, goals, and technical needs
- Develop and refine reusable training assets, playbooks, and best practices
- Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders
- Serve as a Subject Matter Expert (SME) for designated product areas
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
- Strong technical depth across software engineering, the software development lifecycle, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, agentic systems and key tradeoffs
- Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions
- Strong ability to connect technical features and capabilities to concrete business outcomes
- Humble attitude, eagerness to help others
- Comfortable thinking on their feet in live customer settings
- Personally committed to fostering the safe and ethical evolution of AI