Senior Product Manager

Responsibilities

• Own the AI-First Product Vision and Strategy for Data Observability, including autonomous anomaly detection and agentic root cause analysis
• Drive product development for AI and agentic features across anomaly detection, lineage, and data quality monitoring
• Lead a dedicated pod of engineers and designers through the end-to-end product lifecycle
• Engage with enterprise data engineers and platform leads to validate hypotheses and gather insights
• Develop competitive strategies to differentiate Snowflake against observability and catalog competitors
• Collaborate with customer success and go-to-market teams to drive product adoption

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field
• 5+ years of product management experience in enterprise data infrastructure, data quality, or observability
• Deep familiarity with AI/ML concepts and agentic workflows
• Strong understanding of data quality concepts such as freshness, volume anomalies, schema drift, and lineage
• Proven ability to develop product strategy and actionable roadmaps
• Exceptional communication skills for aligning cross-functional teams and influencing executive leadership
• Fluency in using AI tools as a core part of daily product work

Preferred Qualifications

• MBA or advanced degree
• Prior experience with leading data observability or data catalog platforms
• Familiarity with lineage standards like OpenLineage, dbt lineage, or Apache Atlas
• Experience in high-growth markets displacing incumbents
• Exposure to AI-powered workflows for automated data remediation or intelligent alerting

About the Company

Snowflake is powering the era of the agentic enterprise through its AI Data Cloud, providing the context and governance layer necessary for modern data workloads.