We are looking for a hands-on, high-conviction Principal Product Manager to lead and scale Snowflake's Zero-Copy Integrations product stream. This person will help shape the product strategy, execution model, partner roadmap, commercial motion, and customer experience for how Snowflake interoperates with the world's most important business application platforms. This is a highly strategic role at the intersection of product, engineering, design, partnerships, GTM, and executive-level customer engagement. You will work closely with leading application vendors and Snowflake teams to define how customers access structured and unstructured business data, preserve semantics and governance, and activate that data inside Snowflake for analytics, applications, Cortex AI, agents, and business workflows. **WHY THIS ROLE MATTERS** Enterprise AI is only as good as the business context it can access. Customers need governed access to model data, application data, documents, metadata, and business semantics from their critical systems of record. They want to build agents and AI-powered workflows that understand customers, products, suppliers, employees, contracts, transactions, and operational processes. Zero-copy integrations are becoming a core pattern for this world. The goal is not just connectivity. The goal is to make Snowflake the place where customers can combine trusted application context with the rest of their enterprise data estate, then activate it across AI, analytics, data engineering, apps, and governed collaboration. You will help Snowflake define and execute this strategy across key partners and platforms. **WHAT YOU WILL DO** - 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. - Partner with engineering to define high-quality integration primitives that go beyond basic access, including semantic fidelity, lineage, observability, governance, entitlementing, performance, and lifecycle management. - Work with design to shape Snowflake-side and partner-side experience surfaces that make zero-copy integrations easy to discover, configure, govern, monitor, and use. - Build a clear product strategy for structured and unstructured application data, including documents, content systems, knowledge bases, contracts, tickets, and enterprise collaboration data. - Define how customers can activate application data in Snowflake through SQL, Cortex AI, Cortex Agents, Cortex Analyst, Cortex Search, ML, Streamlit, notebooks, semantic views, Dynamic Tables, and governed data products. - Influence partner roadmaps and establish win-win product and business models across Snowflake and strategic application vendors. - Develop commercial models, packaging options, pricing calculators, adoption frameworks, and business cases for Snowflake and partner stakeholders. - Work closely with alliances, sales, solution engineering, marketing, legal, security, and finance to bring these partnerships to market. - Engage deeply with lighthouse customers to validate use cases, unblock adoption, and turn bespoke integrations into repeatable product motions. - Use AI and coding agents actively to prototype product ideas, generate demos, build pricing calculators, analyze customer usage, draft specs, and accelerate product development. **WHAT SUCCESS LOOKS LIKE** - Zero-copy becomes the default pattern for Snowflake interoperability with key enterprise application platforms. - Customers can bring trusted application data and business semantics into Snowflake without duplicative ETL or unnecessary replatforming. - Snowflake becomes the activation plane for SAP, Salesforce, Workday, ServiceNow, and other application data across analytics, apps, AI, and agents. - Joint partner roadmaps are clear, executable, and valuable for both Snowflake and the application platform partner. - Customers can build AI agents and business workflows on top of governed application data with strong semantics, lineage, observability, and access control. - The product experience is simple enough for customers to adopt, but powerful enough for sophisticated enterprise architectures. - Commercial models are clear, scalable, and aligned with partner incentives. - The field can explain the value proposition crisply: zero-copy, governed, semantic, open, and actionable. - Snowflake has a repeatable playbook for launching, scaling, and operating strategic zero-copy integrations across application ecosystems. **WHAT WE ARE LOOKING FOR** - 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. - Strong product judgment and product conviction. You can form a clear thesis, pressure-test it with customers and partners, and drive alignment through ambiguity. - Deep understanding of enterprise data integration patterns, including ETL, ELT, CDC, data sharing, federation, reverse ETL, semantic layers, APIs, and application data models. - Familiarity with open table formats and modern lakehouse architecture, especially Apache Iceberg, open catalogs, Polaris, REST catalog APIs, and governed interoperability patterns. - Strong understanding of how business applications model data, semantics, processes, permissions, and extensibility. - Ability to work with strategic partners where product, engineering, commercial, and GTM incentives all need to align. - Strong technical depth with the ability to discuss architecture tradeoffs with engineering, partner architects, field teams, and customer executives. - Strong business acumen, including pricing, packaging, commercial model design, partner economics, and executive-level business case development. - Experience building products that require cross-company coordination, not just internal roadmap execution. - Strong customer orientation and ability to turn complex enterprise requirements into simple, scalable product experiences. - Hands-on use of AI tools and coding agents to accelerate product thinking, prototyping, analysis, and execution. - Ability to write crisp strategy documents, product specs, partner narratives, field guidance, and executive-ready materials. **PREFERRED QUALIFICATIONS** - Experience with Snowflake, Databricks, SAP BDC, Salesforce Data Cloud, Workday Data Cloud, ServiceNow, or similar enterprise application and data platforms. - Experience with data catalogs, governance, lineage, access control, semantic layers, data products, or data sharing. - Experience with AI and agentic systems, especially where high-quality business context, semantics, retrieval, and governed action matter. - Experience working on partner-led or ecosystem-led product motions. - Experience with pricing calculators, business case modeling, usage analytics, or product-led adoption frameworks. - MBA or equivalent business training preferred. - Degree in Computer Science, Engineering, or a related technical field preferred. **WHO YOU ARE** - You are a product leader who can operate at both strategy altitude and execution depth. - 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. - 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.