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Technical Project Manager – GPU & AI Infrastructure

Project Management Full-time Remote

Job details

Not specified Salary
Remote Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Lead customer deployments of dedicated GPU compute clusters from contract signature through procurement, data center build-out, technical validation, and customer hand-off. You will coordinate customers, internal infrastructure teams, suppliers, and data center operators, keeping delivery on schedule and managing risks across physical and technical work.

Responsibilities - Own post-sale delivery and customer coordination through the contracted Ready-For-Service date and go-live. - Run stakeholder meetings and provide clear status reports, schedules, and risk updates. - Coordinate bills of materials, hardware purchasing, staging, shipping, and vendor timelines. - Work with data center operators on site readiness, including rack space, power, cooling, and cabling. - Oversee physical installation and technical validation, resolving hardware, thermal, power, or cabling issues. - Manage changes in live facilities with risk tracking and backout plans.

Requirements - Five or more years managing technical infrastructure, HPC, or large data center deployment projects. - Experience leading customer-facing projects with enterprise clients and contractual deadlines. - Background coordinating multi-vendor supply chains, hardware providers, and data center operators. - Practical knowledge of data center power, airflow, liquid cooling, and fiber cabling. - Familiarity with dense GPU servers and high-speed network fabrics such as InfiniBand or Ethernet. - Strong skills with Jira, Confluence, project schedules, risk logs, and stakeholder communication.

Nice to have - PMP, PRINCE2, or Agile/Scrum project certification. - Knowledge of GPU server configurations such as HGX, DGX, or NVLink systems. - Familiarity with data center infrastructure management tools and hardware inventory.

Benefits and work setup - Remote work with flexibility and autonomy. - Four-day work week, except when attending events, and uncapped holiday. - Compensation and benefits are described as competitive, with no specific amounts or details provided.

Skills detected in the listing

GoApache AirflowStakeholder Management
Detected Oct 14, 2026
Last verified Oct 29, 2026

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