Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 9
ChatGPT @ 7
Communication @ 9
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The AI Deployment team helps organizations turn OpenAI products into sustained impact through enablement and training execution. The team partners with enterprises to translate OpenAI technology into durable capability through structured training, technical enablement, and scalable deployment programs.
This specialist post-sales enablement role focuses on delivering high-impact enablement and adoption services across OpenAI’s product suite, including ChatGPT Enterprise and Agents. The role combines product fluency, instructional design, and customer advisory to support audiences ranging from business users to technical practitioners and executive leaders.
Responsibilities
- Own enablement for OpenAI products, including ChatGPT Enterprise and Agents, and define effective enablement patterns for enterprise business and technical teams.
- Serve as a subject matter expert for designated product areas, build deep expertise, support internal enablement, identify emerging customer use cases, and aggregate customer feedback to inform product development.
- Lead customer enablement across the full lifecycle, from onboarding through expansion, optimization, and long-term adoption.
- Design and deliver onboarding sessions, advanced capability training, executive briefings, hackathons, and hands-on workshops for senior leaders and working teams.
- Drive customer activation, sustained usage, and measurable business value through structured enablement programs.
- Partner with Sales, Solution Architects, and Delivery Leads to drive adoption across the core product suite.
- Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.
- Gather and synthesize customer feedback from training and enablement engagements and share insights with internal stakeholders to inform product and program improvements.
Requirements
- Fluent business-level Japanese for engagement with Japanese-speaking customers.
- Six or more years of experience in customer-facing, enablement, or instructional roles involving C-level, business, and technical audiences in complex enterprise environments.
- Exceptional presentation and communication skills, particularly the ability to translate AI capabilities into clear, practical value for senior and executive audiences.
- Strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of applying AI capabilities to real-world workflows and enterprise use cases.
- Experience leading workshops and enablement programs, including designing learning journeys, facilitating live sessions, and responding to questions in real time.
- Ability to identify patterns across customers and translate them into scalable approaches that improve adoption.
- Ability to connect product capabilities to business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact.
- Ability to adapt quickly to new information, shifting priorities, and real-time questions in live customer environments.
- Humble attitude, eagerness to help others succeed, and curiosity to continuously learn about emerging AI capabilities.
- Commitment to the safe and responsible evolution of AI.
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