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.