Senior Product Manager - Data Observability

Snowflake • Menlo Park, CA

11d

About The Position

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.
Snowflake Horizon Catalog is the context and governance layer of the Snowflake AI Data Cloud. AI is fundamentally transforming how enterprises monitor and trust their data: instead of manually configuring thresholds and triaging failures, AI-powered anomaly detection fires on freshness and volume deviations automatically, agentic root cause analysis traces quality failures back to their upstream source in minutes, and intelligent lineage surfaces the blast radius of any schema change before it reaches a dashboard. Snowflake's native Data Observability capabilities — Data Metric Functions, graphical column-level lineage, anomaly detection, and AI-powered root cause analysis — are the foundation of this next-generation trust layer.
We are seeking a Senior Product Manager to own the Data Observability product area, spanning Data Quality, End-to-end Lineage, and Root Cause Analysis. You will define the strategy for how Snowflake competes and wins against best-in-class observability platforms, drive the AI-first transformation of how enterprises detect and resolve data quality failures, and lead a high-performing cross-functional team to deliver capabilities that make enterprise data pipelines self-healing and self-explaining at scale.

Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.
• 5+ years of product management experience, with a proven track record of shipping successful enterprise data infrastructure, data quality, pipeline monitoring, or observability products.
• Deep familiarity with AI/ML concepts 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 — freshness, volume anomalies, schema drift, lineage, and root cause analysis — and how AI is reshaping each of these problem spaces.
• Demonstrated ability to develop product strategy and translate it into a concrete, actionable roadmap with measurable outcomes.
• Strong customer empathy and experience engaging directly with enterprise data leaders to understand their most pressing pipeline reliability and governance challenges.
• Exceptional communication skills with the ability to align cross-functional teams, influence engineering direction, and present roadmap strategy to executive leadership.
• Fluency using AI tools as a core part of daily product work — not as a productivity add-on, but as an essential operating mode.

Nice To Haves

• Prior experience at or deep knowledge of leading data observability and data catalog platforms.
• Familiarity with lineage standards and frameworks (OpenLineage, dbt lineage, Apache Atlas).
• Experience operating in a high-growth, competitive market where you displaced an incumbent.
• Exposure to agentic or AI-powered workflows for automated root cause analysis, intelligent alerting, or data remediation.

Responsibilities

• Own the AI-First Product Vision and Strategy: Define how AI transforms Data Observability at Snowflake — from manual threshold configuration to autonomous anomaly detection, from reactive debugging to agentic root cause analysis, and from static lineage graphs to intelligent pipeline health maps. Architect and own the end-to-end product lifecycle from discovery through launch and adoption.
• Build AI-Powered Observability Capabilities: Drive product development for AI and agentic features across anomaly detection, lineage-powered root cause analysis, and intelligent data quality monitoring. Partner with Snowflake Cortex AI and Snowflake Intelligence teams to integrate AI capabilities natively into the observability surface.
• Lead from the Front: Serve as the cross-functional leader for a dedicated pod of engineers and designers. Drive execution, partner with design, marketing, and go-to-market to bring capabilities to market, and act as the internal and external evangelist for your product area.
• Be the Voice of the Customer: Engage deeply with enterprise data engineers, data platform leads, and executive stakeholders to gather insights, validate hypotheses, and ensure the solutions you build solve their most pressing pipeline reliability and data quality problems.
• Shape Competitive Strategy: Develop a sharp point of view on how Snowflake wins against best-in-class data observability and catalog competitors — and translate that view into a differentiated roadmap that compounds Snowflake's native platform and AI advantage.
• Drive Adoption at Scale: Collaborate with customer success and go-to-market teams to convert shipped capabilities into measurable adoption. Own outcomes, not just output.

Benefits

• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

What This Job Offers

• Job Type: Full-time
• Career Level: Senior