Staff Product Manager - Compute Engine

Staff Product Manager - Compute Engine 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. 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. IN THIS ROLE, YOU WILL: - 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. OUR IDEAL CANDIDATE HAS: - 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 product ... (truncated, view full listing at source)