12+ 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
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
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