Staff Product Manager - Compute Engine

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Snowflake’s AI Data Cloud is the unified platform and connected ecosystem of organizations building, using and sharing data, apps and AI. Powering the AI Data Cloud is Snowflake’s single platform. Its unique architecture connects businesses globally, at practically any scale to bring data and workloads together. At the heart of Snowflake’s platform is our compute engine that processes billions of queries daily for thousands of the world's largest organizations. This compute engine is handling diverse workloads from analytics, data engineering to powering Snowflake’s AI Cortex agents. But we aren't stopping here. We are building the next evolution of our compute engine: the smartest, most efficient, and most adaptable cloud compute layer ready to support the next generation of enterprise data and AI applications at scale.

We are seeking a Staff Product Manager to lead the compute engine for Snowflake's Data & AI cloud. In this role, you will lead the strategy and execution for the compute platform, owning a portfolio that ranges from our foundational standard and Gen2 warehouses to high-performance Snowpark-optimized compute clusters to serverless compute. You will be the primary driver behind our latest compute innovation: Adaptive Warehouses, helping us move beyond static sizing to a world of fluid, intelligent compute that reacts instantly to workload demands.

This is a high-visibility opportunity to shape the future of the underlying Snowflake architecture. You won't just be adding features; you will be solving complex, systemic problems regarding query performance, ease of use, elasticity, and cost-efficiency. You will partner with our senior architects and engineering leaders to ensure Snowflake remains the industry standard for performance and scale.

• Define the Vision: Own the product strategy and long-term roadmap for the compute layer that powers our core Analytics and Data Engineering businesses. You will influence how Snowflake processes the world's data.

• Architect for the Future: Partner deeply with senior engineers and architects to innovate the underlying system and to keep our platform best-in-class.

• Drive both 0-to-1 and scale execution: Spearhead the 0-to-1 launch and maturation of Adaptive Warehouses, driving the shift toward next-generation, serverless-style elasticity.

• Drive Execution & Alignment: Serve as the central point of influence across the organization. You will synthesize disparate data points, technical opinions, and executive direction into a cohesive, actionable plan.

• Uncover Insights: Utilize data-driven governance to track key metrics (performance, utilization, margins) and uncover usage patterns that inform our next big bet.

• Partner with Customers: Collaborate directly with Platform Architects at our largest enterprise customers to validate designs, gather feedback via preview programs, and solve their most critical scale challenges.

• Experience: 10+ years of Product Management experience, with at least 5+ years specifically building data analytics products or cloud compute infrastructure. Bonus, direct experience with designing compute engines for analytics and/or data engineering products!

• Systems Thinking: The ability to decompose complex technical problems. You are comfortable diving deep into cloud and data architectures, API contracts, query semantics, and distributed systems.

• Cross-Org Leadership: A proven track record of "leading through influence." You can drive alignment across distinct cross-functional teams and present confidently to VPs and C-level leadership.

• Customer Empathy: A passion for "Ease of Use." You understand the friction points of analytics and data engineering and possess a relentless desire to deliver the best data warehousing solutions.

• Modern Prototyping Skills: Comfort using modern AI and design tools to rapidly mock up wireframes, prototypes, and PRDs to visualize complex workflows.

• Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com