Responsibilities
- Partner with engineering leaders and developers to identify high-value Codex opportunities and translate them into architectures, implementation plans, evaluation strategies, and success criteria.
- Design, build, and deploy AI-powered software development workflows for planning, coding, testing, reviewing, debugging, and delivery.
- Develop prototypes, evaluation harnesses, reference implementations, integrations, workflow automations, and production accelerators using hands-on code.
- Move customer experiments into reliable production workflows, sustained adoption, and scaled organizational impact.
- Create systematic evaluations for AI coding systems using representative tasks, automated graders, production signals, and developer feedback.
- Make technical decisions across models, agents, tools, developer environments, reliability, observability, latency, cost, safety, security, and operational readiness.
- Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve technical blockers.
- Lead technical deep dives, workshops, and hands-on enablement sessions for engineering organizations.
- Translate deployment insights into product proposals, model feedback, technical requirements, reusable architectures, tooling, examples, and guides.
Requirements
- Demonstrated experience designing, building, and delivering software or AI systems in enterprise environments from prototype through production.
- Substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering.
- High proficiency in Python and comfort working across modern software development environments.
- Experience with JavaScript, TypeScript, or another relevant language is valuable.
- Active use of AI coding tools and a strong perspective on improving developer productivity and software engineering workflows.
- Understanding of systematic evaluation for AI coding systems, including representative tasks, automated evaluations, production signals, and developer feedback.
- Experience navigating enterprise requirements involving developer-tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Ability to connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes.
- Clear and credible communication with engineers, engineering leaders, security teams, product leaders, and executives.
- Comfort leading technical workshops and hands-on technology adoption sessions.
- High agency, strong technical judgment, end-to-end ownership, rapid learning, and constructive collaboration.
- Fluency in Japanese and English.
Benefits
- Hybrid work model requiring three days in the Tokyo office per week.
- Relocation assistance is available to new employees.
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.