Snowflake
Senior Product Manager - AI Migrations
- Employment type
- Full-time
- Workplace type
- Hybrid
- Location
- US-CA-Menlo Park
- Published
- Jun 18, 2026
- Last checked
- Oct 26, 2026
About this role
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.
For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. The Migrations team is tasked with a mission of strategic importance: to turn this multi-year roadblock into a streamlined, intelligent, and automated experience. We believe Generative AI is the key. We are building products that don't just move data, but understand and rewrite the logic of entire data applications.
We're seeking a structured, technically grounded Senior Product Manager to own several key features and capabilities within this charter. You will bring product insight and clear execution to our GenAI-powered engine, ensuring your projects directly align with Snowflake's higher-level growth goals.
AS A SENIOR PRODUCT MANAGER, YOU WILL :
- Own Feature Direction & Alignment: Provide clarity, conviction, and insight for your owned features. Ensure your roadmap and projects directly align with the broader company strategy and migration goals.
- Balance Technical Constraints: Deeply understand customer migration needs (such as data types, ETL pipelines, and post-migration validation). Weave technical constraints into product decisions, carefully balancing engineering effort, customer value, and feasibility.