AI Deployment Manager - Builder

About the role

The AI Deployment Manager (Builder) 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, working with engineers, AI and platform teams, administrators, security stakeholders, product leaders and executive sponsors. The role is based in Singapore with a hybrid model of 3 days in the office per week, and offers relocation assistance to new employees.

Key responsibilities

• Own the technical enablement of OpenAI products, including APIs, Codex, Agents, Evaluations and other platform capabilities, defining enablement patterns that support adoption across customer segments.
• Lead customer training and enablement across the full lifecycle, from onboarding through expansion, optimization and long-term adoption.
• Design and deliver onboarding sessions, advanced trainings, executive briefings, hackathons and hands-on workshops for audiences from senior leaders to working teams.
• Drive customer activation and sustained usage through structured enablement and deployment programs.
• Partner with Sales, Solutions Architecture, Product teams and Delivery Leads to tailor enablement plans to each customer's use case and technical needs.
• Develop reusable training assets, playbooks and best practices, and gather and synthesize customer feedback to inform product and program improvements.
• Serve as a Subject Matter Expert for designated product areas, supporting internal enablement and identifying emerging customer use cases.

Required profile

• 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.
• Proven experience leading structured technical trainings such as API bootcamps, workshops or enablement sessions, with the ability to design learning journeys and handle live questions.
• Strong ability to connect technical features to business outcomes such as productivity, efficiency, cost reduction, risk mitigation or revenue impact.
• Comfortable thinking on your feet in live customer settings and committed to the safe and ethical evolution of AI.

Required skills

• Deep 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 and agentic systems.
• Exceptional presentation and communication skills, especially with senior and executive-level audiences.