Senior Product Manager - Data Observability

What you'll do

• Define the product vision, strategy, roadmap, and lifecycle from discovery through launch and adoption.
• Lead cross-functional teams to build and bring AI-powered observability capabilities to market.
• Engage enterprise customers and go-to-market teams to validate needs, shape competitive strategy, and drive adoption.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of product management experience, with a track record shipping enterprise data infrastructure, data quality, pipeline monitoring, or observability products.
• Deep familiarity with AI/ML and agentic workflows; hands-on experience building or shipping AI-powered or AI-augmented data products is essential.
• Strong understanding of data quality and observability concepts, including freshness, volume anomalies, schema drift, lineage, and root cause analysis.

Nice to have

• Prior experience with or deep knowledge of data observability and data catalog platforms.
• Familiarity with lineage standards and frameworks such as OpenLineage, dbt lineage, or Apache Atlas.

Pay

$236K – $339.2K (USD, base salary)

Tools

Snowflake Horizon Catalog, Snowflake Cortex AI, Snowflake Intelligence, OpenLineage, dbt lineage, Apache Atlas

AI focus

Lead the AI-first transformation of data observability, including autonomous anomaly detection, agentic root cause analysis, lineage-powered diagnosis, intelligent data quality monitoring, and AI integration into Snowflake’s observability products.