Responsibilities
- Act as the primary technical advisor and long-term technical relationship owner for a portfolio of customers and pre-sales prospects.
- Own technical account plans, milestones, adoption priorities, expansion opportunities, and customer technical outcomes in partnership with Account Directors.
- Lead executive and technical discovery to identify and prioritize AI use cases tied to business outcomes.
- Develop applied AI architectures covering models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
- Guide technical evaluations, demonstrations, workshops, prototypes, and proofs of value through production readiness.
- Maintain use-case portfolios with decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
- Build relationships with CTOs, CIOs, CISOs, AI leaders, engineering teams, and other stakeholders.
- Coordinate Deployment Engineering, implementation, training, enablement, product, domain, partner, and other delivery specialists.
- Track adoption, usage, account health, production readiness, and measurable customer impact, intervening on risks.
- Share customer insights with Product, Engineering, and Research to improve products and reusable practices.
Requirements
- Significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
- Experience guiding enterprise organizations from technical evaluation through production adoption and measurable business impact.
- Ability to build credibility with senior technical and business leaders while communicating effectively with hands-on engineers.
- Strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
- Understanding of modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
- Ability to prototype and explain technical tradeoffs using APIs, SDKs, and languages such as Python or JavaScript.
- Sound judgment about when to work hands-on, involve specialists, and define handoffs and ownership.
- Experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
- Meaningful expertise in a relevant industry or strong fluency with digital-native businesses.
- Clear communication, cross-disciplinary collaboration, and commitment to responsible AI deployment.
Benefits
- The role is based in Tokyo.
- OpenAI provides reasonable accommodations for applicants with disabilities.
- OpenAI is an equal opportunity employer and considers qualified applicants consistently with applicable fair-chance and employment laws.
Tech Stack
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.