VP of Engineering

Andromeda Cluster•San Francisco, CA

10d•Remote

About The Position

Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. We’re hiring a VP of Engineering to lead the technical organization behind Andromeda’s platform and operations. This is a builder–operator role, not a pure people-management role. This is a change leadership role, not a “scale what already works” role. Our platform works, but it’s held together with speed and hustle, not systems and automation. Your job is to introduce the structure we need to scale, and do so without alienating a high-performing team or grinding the business to a halt. That’s a hard balance. It requires technical depth and organizational patience. If you succeed here, you will help define how AI compute is bought, sold, and operated at scale. You sit at the intersection of: Product and platform development Customer solutions and support Provider onboarding and lifecycle management Enterprise security and compliance Technical credibility with customers, partners, and OEMs We’re a fast-moving team that has shipped a working platform in a compressed timeline and achieved hundreds of millions of dollars of revenue. We’ve prioritized speed and iteration over process and documentation, and that’s been the right tradeoff to get here. But we’re approaching an inflection point. We have real technical debt, operational gaps, and scaling constraints that need to be addressed. The challenge is doing this without grinding the business to a halt or alienating a high-performing team that’s built something real and valuable. You’ll inherit a team that operates with high trust, informal communication, and a bias toward building. They’re skeptical of heavy process, because they’ve seen it slow things down elsewhere. Your job is to earn their trust, then introduce the systems and structure we need to scale, at a pace the organization can metabolize.

Requirements

Are extremely interested in, excited about, and familiar with modern AI infrastructure
Are a senior engineering leader who still goes hands-on when needed
Have architected, built, and operated infrastructure or developer platforms
Are a strong systems thinker with sound judgment under ambiguity
Are comfortable in zero-to-one and one-to-scale environments
Are credible with customers, partners, and senior technical stakeholders
Have experience with reliability-critical systems (infra, SRE, networking)
Have exposure to enterprise security and compliance