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Jobs(27,730)/AI Engineer Role(637)/openai (104) - AI Deployment Manager - Builder
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openai

openai - AI Deployment Manager - Builder

Singapore - Hybrid2d ago
In OfficeMidAPACSoftwareAI EngineerCustomer TrainingCustomer OnboardingCustomer EngagementTraining Development

Responsibilities

• Own the technical enablement of OpenAI products, including OpenAI APIs, Codex, Agents, Evaluations and other platform capabilities, helping define effective enablement patterns that support adoption across customer segments • 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 for audiences ranging from senior leaders to working teams. • Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale • 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. • Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. • Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. • Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. • 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. • Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments. • Possess exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences. • 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, with the ability to design learning journeys, handle live questions, and reason through problems in real time. • Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact. • Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. • Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum. • Are personally committed to fostering the safe and ethical evolution of AI.

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