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Principal Product Manager - Extensible Compute

Snowflake · Menlo Park, CA · 3 days ago
Marketing$264k–$380k/yrFull-time

Overview

Snowflake is seeking a Principal Product Manager for its Extensible Compute team. This role involves defining and owning the product vision and multi-year roadmap for Snowflake's extensible and serverless compute platform.

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.

  • A demonstrated history of driving 0 to 1 or 1 to scale platform initiatives across engineering, product, and GTM teams.

  • The ability to engage senior engineers credibly on architecture, performance, reliability, and cost trade-offs while owning roadmap and business outcomes.

  • Strong communication and influence skills with senior product and engineering leaders.

  • A Bachelor's degree in a technical field, or equivalent experience.

Bonus Points

  • 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.

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