Sitting within Snowflake's Frontier Engineering organization, a specialized team of Engineers, Product Managers, Solutions Architects, and AI Experts, the Director of Product Management will own Snowflake's Data Transformation product portfolio. The scope spans intelligent migration products, multi-source ingestion pipelines, legacy data warehouse modernization, ETL/ELT transformation, and data platform rationalization. The role involves setting product vision, leading a team of PMs, and delivering tooling that turns fragmented legacy infrastructure into an AI-first enterprise platform.
Responsibilities
Define vision and strategy by owning the strategic roadmap across the full transformation stack, from platform migration to semantic and context layers; Lead and scale a high-performing PM team by building, mentoring, and managing product managers; Partner with engineering leadership to shape execution strategies and balance engineering effort and long-term architectural scalability; Drive execution with an MVP mindset by setting precise roadmap milestones, prioritizing ruthlessly, and ensuring cross-functional alignment; Own GTM and customer adoption by partnering with Marketing, field teams, and executive customers to accelerate migrations and drive platform adoption; Drive thought leadership as an external voice for Snowflake on legacy modernization, automated pipeline refactoring, and AI-first data architecture
Requirements
12+ years in data infrastructure with a proven track record delivering enterprise-scale data platforms, migration tooling, query engines, or pipeline infrastructure; Proven PM leadership with experience building, managing, and mentoring high-performing product management teams; Deep technical foundation with hands-on familiarity with modern data ecosystems, including SQL execution, ETL/ELT patterns, declarative pipelines, and workflow orchestration; Applied GenAI exposure with practical understanding of AI-assisted capabilities such as automated code translation, developer co-pilots, semantic validation, and LLM-driven refactoring; Strategic and analytical execution with the ability to navigate technical ambiguity, make sound decisions using data and instincts, and reduce time-to-value for enterprise customers; Executive communication with the ability to translate complex architectural capabilities into clear, compelling narratives for customers, field leadership, and executives
Stany Zjednoczone · Menlo Park
