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Snowflake

Technical Program Manager, Compute Infrastructure

Snowflake is hiring a Technical Program Manager, Compute Infrastructure for a remote role open to applicants in United States. It pays $136k-$196k a year and Level rates it ; you can apply on Snowflake.

Level's read on this job

  • Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
  • This is listed as a remote role.
  • Level classes it as a mid-level role.
  • Snowflake has 372 other open roles on Level.
  • Posted in the last few days.

AI in this role

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.

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, rapidly testing 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.

Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.

AS A TECHNICAL PROGRAM MANAGER: COMPUTE INFRASTRUCTURE AT SNOWFLAKE, YOU WILL:

  • 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.

OUR IDEAL TECHNICAL PROGRAM MANAGER: AI COMPUTE INFRASTRUCTURE WILL HAVE:

  • 2+ years of experience in technical program management, engineering, or a related technical role, preferred.

  • 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, such as GPUs, accelerators, or cloud instances.

  • Strong analytical skills and comfort using data to frame problems, weigh trade-offs, and guide decisions.

  • Clear written and verbal communication, 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.

BONUS POINTS FOR THE FOLLOWING:

  • Experience with GPU capacity planning, quota management, or AI/ML infrastructure programs.

  • Familiarity with major cloud providers (AWS, Azure, GCP) and how they supply and price compute.

  • Exposure to ML model serving, training, or inference workloads and what drives 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.

WHY JOIN OUR ENGINEERING TEAM AT SNOWFLAKE?

You will help shape how one of the world's leading data and AI platforms scales its AI compute. The programs you run will directly affect how quickly Snowflake ships AI capabilities to customers. You will work closely with experienced engineering and infrastructure partners, and you will have real room to grow your scope and impact as the AI compute footprint expands.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

How we rate this

Technical Program Manager, Compute Infrastructure at Snowflake rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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