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Andromeda Cluster

On-demand GPU resources marketplace for AI

Technical Program Manager - Infrastructure

Program ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience running data center construction, hardware deployment, or large infrastructure programs.
  • Experience managing original equipment manufacturers, contractors, and integrators against a fixed delivery date.
  • Ability to follow technical details of power, cooling, networking, and server bring-up well enough to identify schedule risk.

Responsibilities

  • Own an integrated plan for each cluster build, covering site readiness, procurement, logistics, deployment, and acceptance.
  • Track vendor lead times and delivery schedules with procurement so servers, network gear, and optics arrive on site when required.
  • Track site milestones, power and cooling readiness, and team handoffs, and escalate risks early.
  • Provide regular status reports to leadership and customers.
  • Develop program tracking and reporting that scales across builds.
  • Create templates and checklists and conduct post-build reviews to improve delivery speed.

Desired Qualifications

  • Program management experience on GPU cluster builds.
  • Experience automating program tracking and reporting.
  • PMP certification or equivalent.

About the Company

Andromeda Cluster

On-demand GPU resources marketplace for AI

Andromeda AI Inc. runs a GPU compute marketplace that connects companies with a global network of providers for on-demand AI training and inference. It routes jobs across hundreds of providers—data centers, cloud services, and idle hardware from mining operations—handling sourcing, benchmarking, contracting, and a single consolidated billing flow. The platform differentiates itself by aggregating diverse compute sources and delivering end-to-end management, including the Andromeda Pricing Index to show fair, region- and contract-specific GPU prices, appealing especially to startups and labs that need flexible access. Its goal is to increase compute liquidity for AI workloads, making high-performance GPUs easier to access and more affordable for AI development and research.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2023

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