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Director, Product Management - Data Transformation (Frontier Engineering)

Snowflake Inc.· Professional Services
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Hybrid (US-CA-Menlo Park), Hybrid (US-WA-Bellevue)$304k - $437kFull-timePosted 1w ago

About the role

Director level role leading Snowflake’s Data Transformation product portfolio within the Frontier Engineering organization, owning vision, strategy, and execution across migration, ingestion, ETL/ELT transformation, and governance layers to enable AI-first data platforms.

Responsibilities

  • Define Vision & Strategy: Own the strategic roadmap across the full transformation stack—from platform migration to semantic and context layers—ensuring every initiative moves enterprises closer to an AI-ready Snowflake platform.
  • Lead & Scale a High-Performing PM Team: Build, mentor, and manage a team of product managers, fostering a culture of high velocity, accountability, and technical rigor.
  • Partner with Engineering Leadership: Deeply engage with technical leaders to shape execution strategies, balancing engineering effort and long-term architectural scalability across complex pipeline and query transformation workloads.
  • Drive Execution with an MVP Mindset: Champion speed and clarity, setting precise roadmap milestones, prioritizing ruthlessly, and ensuring seamless cross-functional alignment.
  • Own GTM & Customer Adoption: Partner with Marketing, field teams, and executive customers to position transformation capabilities, accelerate migrations, and drive platform adoption.
  • Drive Thought Leadership: Serve as an external voice for Snowflake, helping shape the industry narrative around legacy modernization, automated pipeline refactoring, and AI-first data architecture.

Qualifications

  • 12+ Years in Data Infrastructure: Proven track record delivering enterprise-scale data platforms, migration tooling, query engines, or pipeline infrastructure.
  • Proven PM Leadership: Strong experience building, managing, and mentoring high-performing product management teams.
  • Deep Technical Foundation: Hands-on familiarity with modern data ecosystems—including SQL execution, ETL/ELT patterns, declarative pipelines, and workflow orchestration.
  • Applied GenAI Exposure: Practical understanding of AI-assisted capabilities, such as automated code translation, developer co-pilots, semantic validation, and LLM-driven refactoring.
  • Strategic & Analytical Execution: Ability to navigate technical ambiguity, make sound decisions using data and instincts, and reduce time-to-value for enterprise customers.
  • Executive Communication: Exceptional ability to translate complex architectural capabilities into clear, compelling narratives for customers, field leadership, and executives.

Skills

Required:Data infrastructure leadershipProduct management leadership
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Snowflake Inc.

The Data Platform Built for Data Teams.

Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation.

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