Senior Product Manager: Extensible Compute

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

• 5+ years of product management experience, including several years on a platform, infrastructure, or developer-facing product, or equivalent experience owning a technical product end to end.

• Hands-on depth in at least one of: cloud infrastructure, container or serverless platforms, developer runtimes, or distributed systems. You can hold a design review with senior engineers and leave with a decision.

• A track record of taking a platform capability from 0 to 1 or from early adoption to scale, across engineering and at least one partner team (product, GTM, or a cloud/hardware partner).

• Evidence you can say no. You have turned a pile of bespoke asks into a smaller set of reusable capabilities, and you can show what you cut and why.

• Clear writing and crisp communication with engineering leads, partner PMs, finance, and account teams. You do not need a slide to make the point.

• A Bachelor's degree in a technical field, or equivalent experience.

• Direct experience with a container platform, Kubernetes-based service, or serverless compute product that customers run production workloads on.

• Experience qualifying or launching GPU or accelerated compute instances, or working a hardware/CSP roadmap (Nvidia, AWS, Azure, GCP).

• Experience supporting data, AI, or developer workloads on a shared platform (orchestration, notebooks, apps, agents).

• Familiarity with unit economics for compute or storage: instance pricing, $/GiB, or cost-to-serve for a multi-tenant platform.