# Principal Product Manager

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Product Management
**Salary:** $264k – $380k/yr
**Experience:** 10+ years
**Skills:** Product Management, Cloud Infrastructure, serverless, container runtimes, Distributed Systems, developer platforms, AI Infrastructure
**Posted:** 2026-06-25

> 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.

## Job Description

## 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.

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