Snowflake
Snowflake

60 Snowflake Senior Product Manager Jobs Hiring Near You

Senior Manager, Product Data Science

Menlo Park, CA · On-site

$149K - $196K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek ... The manager will interact frequently with senior management, product managers, and engineering ...

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Snowflake Jobs Information

What is it like to work at Snowflake?

Snowflake is a data warehousing and cloud computing company that prioritizes innovation, collaboration, and customer satisfaction, fostering a culture of openness and transparency. The company's team structure is organized around product areas, with a flat organizational hierarchy that encourages cross-functional collaboration and autonomy, and its offices are designed to promote creativity and productivity. Working at Snowflake may appeal to candidates who are passionate about data and technology, and who value a dynamic work environment with opportunities for growth and professional development.

What makes Snowflake an attractive place to work?

Snowflake is a leading cloud-based data warehousing and analytics company that has established itself as a pioneer in the industry, known for its innovative approach to data management and its commitment to customer satisfaction. The company's workplace culture values innovation, collaboration, and diversity, offering employees opportunities to work on cutting-edge projects, participate in cross-functional teams, and engage in ongoing learning and development. By joining Snowflake, professionals can contribute to shaping the future of data management, drive business growth, and develop their skills in a dynamic and supportive environment.
Infographic showing various Senior Product Manager job openings at Snowflake in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Product Manager - Data Observability

Snowflake

Menlo Park, CA • On-site

$149K - $196K/yr

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Snowflake is a company that is powering the era of the agentic enterprise. They are seeking a Senior Product Manager to own the Data Observability product area, focusing on AI-driven solutions for data quality and pipeline monitoring, while leading cross-functional teams to enhance enterprise data capabilities.
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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. Founded in 2012, the company is headquartered in San Mateo, USA, with a team of 5001-10000 employees. The company is currently Late Stage.