# Technical Deployment Lead

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Tokyo, Japan
**Role:** Technical Program Management
**Experience:** 7+ years
**Skills:** Technical Project Management, Ai Systems, Llm Systems, System Architecture, Production Deployments, Integrations, Change Management, Roadmapping, Roi Measurement, Kpi Definition, Evaluations
**Posted:** 2026-04-30

> Leads complex customer-facing AI deployments in Tokyo, coordinating engineering, research, product, and customer teams from prototype through scaled production. The role requires 7+ years of technical delivery leadership, experience shipping AI/LLM systems, strong architectural judgment, and fluency in Japanese and English.

## Job Description

## Responsibilities
- Own technical delivery plans for multiple interdependent workstreams, translating business objectives into roadmaps with milestones, dependencies, and acceptance criteria.
- Run day-to-day engineering execution across Forward Deployed Engineering and customer teams; track progress, remove blockers, sequence work, and make scope and priority trade-offs.
- Embed with customer teams to deliver production deployments and drive adoption by mapping workflows, shaping tools and integrations, translating requirements, and leading onboarding and change management.
- Partner with Product and Research to ensure platform components and research workstreams support deployment goals.
- Codify reusable solution patterns and evaluations, and package field insights to improve products and models.
- Own value cases and ROI by defining impact hypotheses, baselines, and KPIs; conduct pre- and post-deployment measurement and report to executive sponsors.

## Requirements
- 7+ years of customer-facing technical delivery leadership.
- Experience leading large, complex, high-stakes customer engagements requiring tight coordination and rapid decision-making, ideally involving AI.
- Ability to operate effectively in high-ambiguity environments and simplify complex, dynamic work.
- Strong system-level understanding and execution detail, including customer workflow and data analysis, constraint mapping, architecture sketching, and moving ambiguous problems to shipped systems.
- Strong technical fluency and sequencing judgment, with the ability to discuss technical details, pressure-test architectures, and make trade-offs.
- Experience shipping AI/LLM systems, with knowledge of solution patterns, integrations, and production pitfalls.
- Ability to translate complex technical trade-offs for business leaders and convert strategy into execution.
- Willingness to work onsite with customers, often 25–50% or more.
- Expertise in at least one major sector, such as healthcare, energy, financial services, semiconductors, or IT.
- Fluency in spoken and written Japanese and English.
- Ability to work in a hybrid model with three days in the office.

## Compensation and Benefits
- Relocation assistance is offered.
- Travel of approximately 25–50% is required.

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