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
