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Senior Product Manager (Data Observability)

Snowflake · Menlo Park, CA, United States

External listingfull-time3 days ago

About The Role

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.

  • Définir la stratégie pour la concurrence et le succès de Snowflake dans le domaine de l'observabilité des données, en mettant l'accent sur l'utilisation de l'IA.
  • Diriger le développement de produits pour les fonctionnalités alimentées par l'IA, y compris la détection des anomalies et l'analyse des causes profondes.
  • Servir de leader transversal pour une équipe dédiée d'ingénieurs et de designers, en conduisant l'exécution et en collaborant avec les équipes de conception, de marketing et de mise sur le marché.
  • 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 remediation

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