AI Deployment Manager - San Francisco

About the Team OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity. Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves. Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to ensure that AI benefits the way people work, build, and innovate. This role sits at the center of that mission. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use. This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes. 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. In this role, you will: - Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API 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, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.
• 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. You’ll thrive in this role if you: - 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 coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, fine-tuning, 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 clar

• To stand out as an AI Deployment Manager at OpenAI, develop a strong understanding of the company's products and services, such as API keys, model fine-tuning, and embedding OpenAI models into customer applications, and be prepared to provide specific examples of how you've applied these concepts in previous roles.
• Create a portfolio that showcases your experience with technical enablement and adoption programs, including case studies of successful AI deployments and testimonials from previous clients, to demonstrate your ability to drive customer success and long-term adoption of OpenAI's platform.
• Familiarize yourself with OpenAI's technology stack, including Python, TensorFlow, and PyTorch, and be prepared to discuss your experience with AI model deployment, integration, and maintenance, as well as your ability to collaborate with cross-functional teams, such as Sales, AI Success Engineers, and Product.
• Prepare to address common challenges in AI deployment, such as data quality, model drift, and scalability, and be ready to discuss your strategies for overcoming these challenges and ensuring successful customer outcomes, using examples from your previous experience and knowledge of OpenAI's products and services.
• Develop a deep understanding of the business value of AI and its applications in various industries, and be prepared to discuss how you can help OpenAI's customers achieve their business goals through effective AI deployment and adoption, using metrics such as ROI, customer satisfaction, and business outcomes.
• Be prepared to negotiate salary based on industry standards and your level of experience, with a range of
  50,000 to $200,000 per year, and be ready to discuss additional benefits, such as stock options, flexible work arrangements, and professional development opportunities, that align with OpenAI's company culture and values.