Staff Product Manager - AI Migrations

Snowflake•Menlo Park, CA

About The Position

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 redefined the data landscape over a decade ago by building a Data Cloud with industry-leading performance and price for data at any scale and for multiple workloads: data engineering, data analytics, and AI/ML. At Snowflake, our biggest opportunity is also our customers' biggest challenge: migration. 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 visionary Product Manager to own this charter, define the future of cloud migration, and build the GenAI-powered engine that will onboard the next wave of Snowflake customers. Your work will directly impact Snowflake's growth and change the way an entire industry approaches digital transformation.

Requirements

Extensive experience (10+ years) building and delivering enterprise products
Strong familiarity with data ecosystems (databases, analytics, data engineering, ETL)
Experience building and delivering tools or platforms for data engineers or developers
Proven experience delivering GenAI products, particularly those involving AI-powered code translation, developer co-pilots, or complex semantic validation

Responsibilities

Deeply Understand Customer Data Migration Needs: Conduct detailed research and analysis to understand customer requirements, pain points, and use cases specifically related to migrating diverse data types, ensuring data integrity, performance, and completeness during and after migration. This includes understanding challenges like post-migration validation.
Contribute to Product Strategy & Roadmap: Contribute to the strategy and roadmap for data migration capabilities, ensuring alignment with the overall migration product vision and customer needs. For example, defining features and processes that ensure the accuracy, completeness, and consistency of migrated data, including defining validation rules, diagnostic mechanisms, and reporting capabilities.
Define Product Requirements: Translate customer needs and strategic direction into clear, concise, and detailed product requirements, user stories, and acceptance criteria for data migration features. This involves close collaboration with engineering, design, and our Professional Service teams.
Support Product Development & Prioritization: Work day-to-day with engineering teams to guide the development of data migration and validation features, clarify requirements, answer questions, and assist in prioritizing tasks within your feature areas to ensure timely delivery and quality.
Understand Ecosystem for Data: Learn and understand how data migration and validation features fit into the broader ecosystem migration (ETL pipelines, database code, consuming applications), recognizing dependencies and ensuring our offerings support a holistic migration process.
Analyze Feature Performance: Monitor and analyze usage data, customer feedback, and success metrics specifically for data migration and validation features to identify areas for improvement, inform future iterations, and demonstrate the value delivered.