AI Deployment Manager - US Remote

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 is a remote role based in the US. 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 clarity, ownership, and momentum.
• Are personally committed to fostering the safe and ethical evolution of AI. About O

• Review OpenAI's product offerings and practice explaining complex AI concepts to non-technical stakeholders, as this is a key aspect of the AI Deployment Manager role, and be prepared to provide examples of how you've done this in previous positions.
• Develop a portfolio or work samples that demonstrate your experience with technical enablement, adoption programs, and workflow integration, highlighting specific metrics or outcomes achieved through your efforts, such as "increased AI model adoption by 30% through targeted enablement programs".
• Familiarize yourself with the specific tools and technologies used by OpenAI, such as their API and model deployment platforms, and be prepared to discuss how you would leverage these tools to drive customer success and scalable AI adoption.
• Prepare to address potential interview questions around change management, stakeholder engagement, and cross-functional collaboration, as these are critical skills for success in the AI Deployment Manager role, and be ready to provide concrete examples from your experience working with sales, engineering, and product teams.
• Research OpenAI's customer base and be prepared to discuss how you would approach technical enablement and adoption programs for a variety of customer types, from fast-growing digital natives to large global enterprises, and government agencies, highlighting your ability to adapt to different customer needs and contexts.
• Be prepared to negotiate salary based on industry standards for remote work and AI-related roles, and consider factors such as your level of experience, relevant certifications (e.g. AWS or Azure), and the cost of living in your area, to ensure you are fairly compensated for your skills and expertise.