Senior Product Manager, AI Migrations
Snowflake
full-time
Posted on:
Location: California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $157,000 - $200,000 per year
Job Level
Senior
Tech Stack
CloudETL
About the role
- Conduct detailed research and analysis to understand customer requirements, pain points, and use cases for migrating diverse data types, ensuring data integrity, performance, and completeness
- Contribute to the strategy and roadmap for data migration capabilities, including defining validation rules, diagnostic mechanisms, and reporting capabilities
- Translate customer needs and strategic direction into clear, concise, and detailed product requirements, user stories, and acceptance criteria for data migration features
- 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
- Understand how data migration and validation features fit into the broader ecosystem migration (ETL pipelines, database code, consuming applications)
- Monitor and analyze usage data, customer feedback, and success metrics specifically for data migration and validation features
- Build AI-powered tools that enable customers and partners to transition complex data ecosystems from legacy platforms to the Snowflake AI Data Cloud
- Collaborate closely with engineering, design, and Professional Service teams to deliver migration features and APIs
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
- Ability to conduct detailed research and analysis to understand customer data migration needs, including post-migration validation
- Experience translating customer needs into product requirements, user stories, and acceptance criteria
- Experience working day-to-day with engineering teams to guide development and prioritization
- Experience monitoring and analyzing usage data, customer feedback, and success metrics
- May require authorization to work in the country to which you are applying; applicants asked about sponsorship and work authorization