Principal Product Manager (Zero-Copy Integrations)

Join Snowflake as a Principal Product Manager to lead and scale the Zero-Copy Integrations product stream. This strategic role involves shaping product strategy, execution model, partner roadmap, commercial motion, and customer experience. You will work closely with leading application vendors and Snowflake teams to define how customers access and activate business data for analytics and AI.

• Own product strategy and roadmap for Snowflake’s Zero-Copy Integrations with leading application and data platforms.
• Drive integrations with partners such as SAP, Salesforce, Workday, ServiceNow, and other strategic enterprise application vendors.
• Define the product architecture and user experience for zero-copy access patterns across Iceberg, Polaris, external catalogs, catalog-linked databases, externally managed tables, semantic models, sharing, federation, and write-back patterns.
• Familiarity with open table formats and modern lakehouse architecture, especially Apache Iceberg, open catalogs, Polaris, REST catalog APIs, and governed interoperability patterns
• PREFERRED QUALIFICATIONS
• Deep understanding of enterprise data integration patterns, including ETL, ELT, CDC, data sharing, federation, reverse ETL, semantic layers, APIs, and application data models
• Hands-on use of AI tools and coding agents to accelerate product thinking, prototyping, analysis, and execution
• Strong customer orientation and ability to turn complex enterprise requirements into simple, scalable product experiences
• Strong technical depth with the ability to discuss architecture tradeoffs with engineering, partner architects, field teams, and customer executives
• Strong understanding of how business applications model data, semantics, processes, permissions, and extensibility
• Strong business acumen, including pricing, packaging, commercial model design, partner economics, and executive-level business case development
• Ability to write crisp strategy documents, product specs, partner narratives, field guidance, and executive-ready materials
• 12+ years of overall experience, including 8+ years of core product management experience, with experience leading complex enterprise data, platform, integration, application, or AI products
• Ability to work with strategic partners where product, engineering, commercial, and GTM incentives all need to align
• Experience building products that require cross-company coordination, not just internal roadmap execution
• Strong product judgment and product conviction. You can form a clear thesis, pressure-test it with customers and partners, and drive alignment through ambiguity
• Experience with Snowflake, Databricks, SAP BDC, Salesforce Data Cloud, Workday Data Cloud, ServiceNow, or similar enterprise application and data platforms
• Experience with AI and agentic systems, especially where high-quality business context, semantics, retrieval, and governed action matter
• Experience with data catalogs, governance, lineage, access control, semantic layers, data products, or data sharing
• Experience with pricing calculators, business case modeling, usage analytics, or product-led adoption frameworks
• Experience working on partner-led or ecosystem-led product motions
• MBA or equivalent business training preferred
• Degree in Computer Science, Engineering, or a related technical field preferred
• You are a product leader who can operate at both strategy altitude and execution depth
• You understand that the future of enterprise AI depends on trusted business context, not just access to raw data
• You are excited to build the interoperability layer that lets customers activate their most important enterprise data in Snowflake
• You are comfortable influencing without authority across engineering, design, partners, sales, finance, legal, and executives
• You can sit with a partner CTO in the morning, write a product spec in the afternoon, and build a prototype or pricing model with an AI coding agent by evening
• You do not treat partnerships as press releases. You treat them as product systems that need clear primitives, experiences, incentives, adoption metrics, and customer outcomes