2 months ago
Tokyo, JapanSenior
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
Forward Deployed
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.