Join Snowflake as a Senior Product Manager for Data Observability. In this role, you will define the strategy for competing against top observability platforms, drive AI-first transformation in data quality detection and resolution, and lead a cross-functional team to deliver self-healing and self-explaining data pipelines. You will engage with enterprise data engineers and stakeholders, shape competitive strategy, and drive adoption at scale.
About the role
- Demonstrated ability to develop product strategy and translate it into a concrete, actionable roadmap with measurable outcomes - Deep familiarity with AI/ML concepts and agentic workflows; hands-on experience building or shipping AI-powered or AI-augmented data products is essential - 5+ years of product management experience, with a proven track record of shipping successful enterprise data infrastructure, data quality, pipeline monitoring, or observability products - Exceptional communication skills with the ability to align cross-functional teams, influence engineering direction, and present roadmap strategy to executive leadership - 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 - Fluency using AI tools as a core part of daily product work — not as a productivity add-on, but as an essential operating mode - Strong customer empathy and experience engaging directly with enterprise data leaders to understand their most pressing pipeline reliability and governance challenges - A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus - Prior experience at or deep knowledge of leading data observability and data catalog platforms - Experience operating in a high-growth, competitive market where you displaced an incumbent - Familiarity with lineage standards and frameworks (OpenLineage, dbt lineage, Apache Atlas) - Exposure to agentic or AI-powered workflows for automated root cause analysis, intelligent alerting, or data remediationKey missions
- Definir la estrategia para cómo Snowflake compite y gana contra las plataformas de observabilidad de clase mundial, impulsando la transformación impulsada por la IA en la detección y resolución de fallas de calidad de datos.
- Dirigir el desarrollo de productos para capacidades impulsadas por IA y características agenticas en la detección de anomalías, el análisis de causa raíz impulsado por la línea y el monitoreo inteligente de la calidad de los datos.
- Servir como líder multifuncional para un equipo dedicado de ingenieros y diseñadores, impulsando la ejecución y actuando como el evangelista interno y externo para su área de producto.