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SnowflakeSnowflakeMenlo Park, CA

Principal Product Manager

Principal Product Manager owning Snowflake's extensible and serverless compute platform that powers internal AI agents, apps, notebooks and developer sandboxes. Define multi-year roadmap, translate partner needs into reusable abstractions, drive 0-to-1 and scale initiatives, and partner with senior engineers on architecture, performance, reliability and unit economics.

264k – 380k/yr
On-site10+ YOEProduct Management

About the role

Responsibilities

  • Define and own the product vision and multi-year roadmap for Snowflake's extensible and serverless compute platform, making it the scalable, reliable, and cost-efficient foundation for internal workloads.
  • Translate the needs of internal product partners into durable, reusable platform abstractions, converting bespoke workload requests into standardized capabilities instead of one-off solutions.
  • Drive ambiguous 0 to 1 and 1 to scale platform initiatives end to end across engineering, product, and go-to-market teams.
  • Partner credibly with senior engineers on architecture, performance, reliability, and cost trade-offs while owning the business outcomes and roadmap.
  • Improve startup time, isolation, and unit economics so the platform can support AI-native workloads with true serverless characteristics.
  • Prioritize across a broad portfolio and influence cross-portfolio trade-offs that shape next-generation compute architecture.
  • Establish a high-performance, standardized compute layer that increases platform leverage and prevents fragmentation as adoption scales.

Requirements

  • 10+ years of product management experience, including a strong track record with platform, infrastructure, or developer-facing products, or equivalent experience.
  • Deep experience in one or more of cloud infrastructure, developer platforms, serverless or container runtimes, or distributed systems.
  • Demonstrated history of driving 0 to 1 or 1 to scale platform initiatives across engineering, product, and GTM teams.
  • Ability to engage senior engineers credibly on architecture, performance, reliability, and cost trade-offs while owning roadmap and business outcomes.
  • Comfort operating at the boundary of product, architecture, and business strategy.
  • Strong communication and influence skills with senior product and engineering leaders.
  • Bachelor's degree in a technical field, or equivalent experience.

Nice-to-Haves

  • Experience with serverless compute or container platforms.
  • Experience building developer runtimes or technical platform products.
  • Experience supporting AI infrastructure or AI-native workloads.
  • Familiarity with optimizing unit economics for large-scale compute platforms.

Skills

Product ManagementCloud Infrastructureserverlesscontainer runtimesDistributed Systemsdeveloper platformsAI Infrastructure

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