Technical Program Manager, Compute Infrastructure

Posted Yesterday
Be an Early Applicant
Menlo Park, CA, USA
Hybrid
136K-196K Annually
Junior
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Own cross-functional programs that bring AI compute capacity online from demand intake through procurement, deployment, and engineering handoff. Develop capacity planning and forecasting processes, monitor utilization and efficiency, manage risks and dependencies across infrastructure, cloud providers, and internal teams, and communicate trade-offs to stakeholders. Use data, automation, and AI-assisted workflows to improve planning and resource efficiency.
Summary Generated by Built In

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?

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

Skills Required

  • Experience delivering cross-functional programs in cloud infrastructure, distributed systems, or large-scale compute environments
  • Working understanding of compute capacity planning and consumption, including 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 technical and non-technical stakeholders
  • Ability to structure ambiguous problems and maintain progress in a fast-paced environment
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience
  • 2+ years of experience in technical program management, engineering, or a related technical role
  • Experience with GPU capacity planning, quota management, or AI/ML infrastructure programs
  • Familiarity with AWS, Azure, GCP, and cloud compute pricing
  • Exposure to ML model serving, training, or inference workloads
  • Hands-on use of AI tools and agents, such as Snowflake Cortex AI
  • Experience designing incentive or governance models for resource efficiency

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
  • Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
  • Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.

Snowflake Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

Gallery

Gallery

Similar Jobs

OpenAI Logo OpenAI

Technical Program Manager

Artificial Intelligence • Machine Learning • Generative AI
Hybrid
San Francisco, CA, USA
4500 Employees
207K-285K Annually

HiBob Logo HiBob

Senior Product Manager

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
US
1350 Employees

HiBob Logo HiBob

Director of Product, FP&A

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
US
1350 Employees

Micron Technology Logo Micron Technology

Senior Product Marketing Manager

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
San Jose, CA, USA
45000 Employees
190K-274K Annually

Similar Companies Hiring

Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees
RapidScale Thumbnail
Cloud • Information Technology • Consulting
Raleigh, NC
600 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account