[Hiring] Technical Program Manager @Andromeda Cluster

Role Description

Andromeda's infrastructure team designs, deploys, and operates large-scale GPU clusters for AI labs and compute providers. The Technical Program Manager runs program delivery across our cluster builds. You hold the integrated plan for each build, track dependencies and risks across vendors, and keep the team and customers on one schedule. You report to the Head of Infrastructure.

What You'll Own

• Build plans: An integrated plan per build covering site readiness, procurement, logistics, deployment, and acceptance.
• Hardware delivery: Vendor lead times and delivery schedules, tracked with procurement so servers, network gear, and optics arrive on site when the build needs them.
• Risk and dependencies: Site milestones, power and cooling readiness, and handoffs between teams, with early escalation.
• Cadence: Regular status reporting to leadership and customers.
• Program tooling: Tracking and reporting that scales across builds.
• Process: Templates, checklists, and post-build reviews that make each build faster than the last.

Qualifications

• You have run data center construction, hardware deployment, or large infrastructure programs.
• You have managed OEMs, contractors, and integrators against a fixed date.
• You can follow the detail of power, cooling, networking, and server bring-up well enough to spot schedule risk.
• Your status reports are short, accurate, and early.

Requirements

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

Benefits

• Run delivery on large-scale GPU cluster builds.
• Build the program function from the first hire.
• High talent density, high trust team shaping the compute market.
• Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO.

Company Description

Andromeda is a market and infrastructure platform to buy, sell, and operate compute. We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it.

We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.

We sit at the center of three forces:

• Companies that need reliable, high-performance compute fast.
• A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers.
• Capital, risk, and operational complexity that most teams are not equipped to manage.

When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite. In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it.