Senior Customer Technical Program Manager - AI Datacenter

NVIDIA
Tokyo
Workplace: OnsiteFull timeFunction: Program & Project Management (PMO)Experience: 8+ yearsEducation: bachelorsSkills: ["Leadership","Cross-functional collaboration","Communication","Risk management","Problem-solving"]

Lead strategic technical programs with Cloud Service Providers, primarily NeoCloud, to drive deployment of NVIDIA AI infrastructure at data-center scale. Own end-to-end program execution—engaging customer partners, operationalizing data center toolchains for “AI factory” buildouts, removing blockers, and ensuring reliable assembly, deployment, and production launches. Build and align cross-functional teams, manage schedules, dependencies, and risks, provide technical direction for server system builds, and communicate program insights to senior leadership.

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Senior Customer Technical Program Manager - AI Datacenter

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead strategic technical programs with Cloud Service Providers, primarily NeoCloud, to drive deployment of NVIDIA AI infrastructure at data-center scale. Own end-to-end program execution—engaging customer partners, operationalizing data center toolchains for “AI factory” buildouts, removing blockers, and ensuring reliable assembly, deployment, and production launches. Build and align cross-functional teams, manage schedules, dependencies, and risks, provide technical direction for server system builds, and communicate program insights to senior leadership.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Mid level

Key Responsibilities

  • •Lead program execution and direct technical engagement with NeoCloud providers and their ODM/OEM partners.
  • •Integrate data center tools and operationalize processes for AI factory buildouts, proactively resolving blockers.
  • •Partner to ensure reliable assembly and deployment of AI infrastructure platforms, meeting quality metrics and schedules.
  • •Build and lead cross-functional teams, providing technical direction for server system builds with subject-matter experts.
  • •Manage program timelines, dependencies, and risks; ensure timely delivery of customer-specific features and production deployments while communicating status and insights to senior leadership.

Key Requirements

  • •Demonstrated program and project management experience with direct customer engagement.
  • •8+ years delivering complex technical programs.
  • •Strong leadership skills to influence outcomes in global, matrixed organizations.
  • •Bachelor’s degree (or equivalent experience) in computer science, engineering, or a related field.
  • •Proven track record successfully managing complex, large-scale data center projects, including experience relevant to cloud compute deployments in Japan.
Experience:8+ yearsData centerCloud computingAI infrastructureProgram management
Education:Bachelor's
Skills:LeadershipCross-functional collaborationCommunicationRisk managementProblem-solving
Tech Stack:NeoCloudODM/OEMNVIDIA Vera Rubin NVL72

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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