TECHNICAL PROGRAM MANAGER, COMPUTE INFRASTRUCTURE

📋 Job Overview

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.

🏢 About Snowflake

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.

🎯 The Role

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

✅ Key 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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 Benefits

Compensation: $136K – $195.5K

🛂 Visa & Eligibility

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