Infrastructure Product Manager

About this role

Who we are

Atoms is building the machines that power the next era of progress.

Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that.

Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.

This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.

We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.

If you want to work on hard problems with real-world impact, join us.

About the role

We are looking for an experienced Infrastructure Product Manager to lead strategy for our internal infrastructure teams. Our mission is to abstract the complexity of both public cloud providers (such as Azure) and on-prem deployments (Frontier AI Lab), enabling our developers to move faster, ship more reliably, and operate at a lower cost.

In this role, you will act as a force multiplier for our entire engineering organization, overseeing a complex ecosystem that supports everything from core compute primitives to in-house built distributed systems such as KEQ, Cloudless Blob, Splitter, LogProc, and others.

What You’ll Do

• Drive Product Strategy: Own the roadmap for our internal services and platforms, including Core Compute (Kubernetes), Networking (Service Mesh/Istio), extensive in-house storage primitives (Postgres, Redis/Valkey, Kafka, CRDB, etc.), DevEx/Observab/Costs platforms,, Data and ML platforms, Security Platform.