Technical Program Manager
US$166,000 – US$238,000 / yr base salary
Posted 5 Oct 2026
Advertised as “Senior Technical Program Manager - Capacity Planning”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$166,000 – US$238,000 / yr |
|---|
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.
As a Senior Technical Program Manager of Capacity Planning, you will:
-
Own the capacity planning program end-to-end — from demand forecasting and resource modeling to procurement coordination and delivery tracking across Snowflake's multi-cloud infrastructure (AWS, Azure, GCP)
-
Drive cross-functional alignment between Engineering, Infrastructure, Finance, and Cloud Provider teams to ensure capacity meets projected growth, seasonal demand spikes, and new product launches
-
Build and improve forecasting models and frameworks that translate business growth signals, customer onboarding patterns, and workload trends into actionable infrastructure capacity plans
-
Establish governance and review cadences — own weekly/monthly capacity reviews with engineering leadership, surface risks and tradeoffs, and drive decisions on resource allocation and prioritization
-
Identify and mitigate capacity risks proactively — monitor utilization trends, flag bottlenecks, single points of failure, and lead constraint resolution before they become customer-impacting
-
Partner closely with engineering teams to understand workload characteristics, architecture changes, and new feature launches that affect capacity requirements
-
Drive efficiency and optimization programs — identify opportunities to reduce waste, improve utilization, and right-size infrastructure spend without compromising performance or availability
-
Develop dashboards, metrics, and reporting that give leadership real-time visibility into capacity health, spend trajectory, and delivery timelines
-
Influence infrastructure strategy by providing data-driven recommendations on cloud provider mix, reserved vs. on-demand strategy, and long-term capacity investments