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Snowflake

Runs a cloud platform for business data and AI

Technical Program Manager - Compute Infrastructure

Program ManagementPosted on Nov 11
Full-timeMenlo Park, CA, USA$136k - $195.5k /yrHybrid

About the Job

Requirements

  • Experience delivering cross-functional programs in cloud infrastructure, distributed systems, or large-scale compute environments.
  • A working understanding of how compute capacity is planned and consumed, including GPUs, accelerators, or cloud instances.
  • Strong analytical skills and the ability to use data to frame problems, weigh trade-offs, and guide decisions.
  • Clear written and verbal communication skills, with the ability to align technical and non-technical stakeholders.
  • The ability to bring structure to ambiguous problems and keep work moving in a fast-paced environment.
  • A BS in Computer Science, Engineering, or a related technical field, or equivalent experience.

Responsibilities

  • Own and run programs that bring AI compute capacity online, from demand intake through procurement, deployment, and handoff to engineering teams.
  • Partner with infrastructure engineering, product, and finance teams to turn AI workload needs into clear, prioritized capacity plans.
  • Build and improve demand planning processes, including intake standards, forecasting inputs, and regular planning cycles that teams can rely on.
  • Track compute utilization and efficiency, surface trends early, and bring clear, data-informed recommendations to stakeholders.
  • Identify risks and dependencies across hardware supply, cloud providers, and internal teams, and drive them to resolution before they slow delivery.
  • Communicate program status, trade-offs, and decisions clearly to engineering partners and leadership.
  • Use AI-assisted workflows and automation to reduce manual coordination and make planning faster and more accurate.

Desired Qualifications

  • Two or more years of experience in technical program management, engineering, or a related technical role; this experience is stated as preferred.
  • Experience with GPU capacity planning, quota management, or AI/ML infrastructure programs.
  • Familiarity with major cloud providers such as AWS, Azure, and GCP, and how they supply and price compute.
  • Exposure to machine learning model serving, training, or inference workloads and the factors that drive their resource needs.
  • Hands-on use of AI tools and agents, such as Snowflake Cortex AI, to automate planning, reporting, or coordination.
  • Experience designing incentive or governance models that improve resource efficiency across teams.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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