Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 10 Nov 2026

Senior Product Manager: Extensible Compute

Snowflake Menlo Park, California Hybrid senior full-time

Salary

$200K - $287.5K per year

Apply on Snowflake

Description

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 will be a Senior Product Manager for our Extensible Compute team, which builds Snowpark Container Services (SPCS). SPCS is the compute platform that runs customer container workloads and Snowflake's own first-party products.

As a Senior Product Manager at Snowflake, you will:

  • Own the SPCS product roadmap and ship it.
  • Turn requests from first-party product partners into platform capabilities.
  • Take features from early preview to general availability.
  • Own platform health that customers feel.
  • Be the product point of contact for our infrastructure partners.
  • Use AI as part of how you work.

Our ideal Senior Product Manager will have:

  • 5+ years of product management experience.
  • Hands-on depth in at least one of: cloud infrastructure, container or serverless platforms, developer runtimes, or distributed systems.
  • A track record of taking a platform capability from 0 to 1 or from early adoption to scale.
  • Evidence you can say no.
  • Clear writing and crisp communication.
  • A Bachelor's degree in a technical field, or equivalent experience.

Bonus points:

  • Direct experience with a container platform, Kubernetes-based service, or serverless compute product.
  • Experience qualifying or launching GPU or accelerated compute instances.
  • Experience supporting data, AI, or developer workloads on a shared platform.
  • Familiarity with unit economics for compute or storage.

For more fresh new jobs, check out yubhub.co.

Skills

Required

Nice to have

  • Kubernetes
  • GPU
  • accelerated compute instances
  • unit economics

Ready to apply?

You apply with the employer directly. Their original posting is here: https://jobs.ashbyhq.com/snowflake/ba140960-361c-4357-8a8e-e4825f0d200b

Apply on Snowflake