Technical Program Manager, Compute Infrastructure
Snowflake · US-CA-Menlo Park
About this role
## Technical Program Manager — Compute Infrastructure (Snowflake) At Snowflake, we’re powering the era of the **agentic enterprise**. We’re looking for **AI-native thinkers** who are energized by reinventing how work gets done—using AI as a high-trust collaborator, moving with an experimental mindset, and delivering results in fast-moving environments. ### What you’ll do - **Own and run programs** that bring **AI compute capacity** online—from demand intake through procurement, deployment, and handoff to engineering teams. - **Partner cross-functionally** with infrastructure engineering, product, and finance to turn AI workload needs into clear, prioritized capacity plans. - **Build and improve demand planning** processes, including intake standards, forecasting inputs, and reliable planning cycles. - **Track compute utilization and efficiency**, surface trends early, and provide data-informed recommendations to stakeholders. - **Identify risks and dependencies** across hardware supply, cloud providers, and internal teams—driving resolution before delivery slows. - **Communicate program status, trade-offs, and decisions** clearly to engineering partners and leadership. - Use **AI-assisted workflows and automation** to reduce manual coordination and improve planning speed and accuracy. ### What we’re looking for - **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. - Working understanding of how compute capacity is planned and consumed (e.g., **GPUs, accelerators, cloud instances**). - Strong **analytical skills** and comfort using data to frame problems, weigh trade-offs, and guide decisions. - Clear **written and verbal communication**; ability to align technical and non-technical stakeholders. - Ability to bring **structure to ambiguous problems** and keep work moving in a fast-paced environment. - **BS in Computer Science, Engineering, or related field**, or equivalent experience. ### Bonus points - 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 resource needs. - Hands-on use of AI tools/agents (e.g., **Snowflake Cortex AI**) to automate planning, reporting, or coordination. - Experience designing **incentive or governance models** that improve resource efficiency across teams. ### Why join Snowflake? You’ll help shape how one of the world’s leading data and AI platforms scales its **AI compute**. Your programs will directly influence how quickly Snowflake ships AI capabilities to customers, with strong engineering/infrastructure partners and room to grow as the AI compute footprint expands. **US applicants:** For salary and benefits information, please visit the Snowflake Careers Site: **careers.snowflake.com**
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