Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements.
This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages.
In this role, you will
Work directly with Premium Support customers to troubleshoot their most complex technical issues, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents.
Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation.
Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers.
Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through.
Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners.
Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams.
Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes.
Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates.
Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.
Prepare for important launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed.
Lead or contribute to incident reviews and postmortems, identify opportunities to prevent recurrence, and track corrective actions through closure.
Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments.
Turn what you learn from customer investigations into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation.
Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally.
You might thrive in this role if you
Have significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues.
Have expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations.
Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.
Have experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through.
Can write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools. Experience with Python, JavaScript, or similar languages is valuable.
Can communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders—especially when information is incomplete or evolving.
Build strong, high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries.
Look beyond the immediate issue to identify patterns, improve the system, and prevent the same problem from recurring.
Thrive in ambiguity, update quickly as new information emerges, and are willing to learn whatever is needed to get the job done.
Bring a humble, team-first mindset, strong judgment, and a genuine eagerness to help both customers and colleagues succeed.
Are excited to use OpenAI’s products, agents, and emerging AI capabilities to transform how technical support operates at scale.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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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.
