# Principal Product Manager - Zero-Copy Integrations

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Bellevue, WA, Menlo Park, CA
**Role:** Product Management
**Salary:** $264k – $380k/yr
**Experience:** 12+ years
**Skills:** Product Management, Enterprise Data Integration, ETL, ELT, Cdc, Data Sharing, Federation, Reverse Etl, Semantic Layers, APIs, Apache Iceberg, Open Catalogs, Polaris, Rest Catalog Apis, Lakehouse Architecture
**Posted:** 2026-06-09

> Lead product strategy and roadmap for Snowflake's Zero-Copy Integrations with enterprise application platforms like SAP, Salesforce, Workday, and ServiceNow. Define architecture for governed, zero-copy data access patterns and drive cross-functional execution with engineering, partners, and GTM teams.

## Job Description

## Responsibilities
- 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 including semantic fidelity, lineage, observability, governance, entitlementing, performance, and lifecycle management
- Work with design to shape Snowflake-side and partner-side experience surfaces
- 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
- Develop commercial models, packaging options, pricing calculators, adoption frameworks, and business cases
- Work closely with alliances, sales, solution engineering, marketing, legal, security, and finance
- Engage deeply with lighthouse customers to validate use cases 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

## Requirements
- 12+ years of overall experience, including 8+ years of core product management experience
- Experience leading complex enterprise data, platform, integration, application, or AI products
- Strong product judgment and product conviction
- 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
- 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

## Nice-to-Haves
- Experience with Snowflake, Databricks, SAP BDC, Salesforce Data Cloud, Workday Data Cloud

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