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Snowflake

Runs a cloud platform for business data and AI

Director Product Management - Data Transformation, Frontier Engineering

Technical Product ManagementConfirmed live in the last 24 hours
Full-time$304k - $437k /yrHybrid

About the Job

Requirements

  • At least 12 years of experience in data infrastructure, with a proven track record delivering enterprise-scale data platforms, migration tooling, query engines, or pipeline infrastructure.
  • Experience building, managing, and mentoring high-performing product management teams.
  • Hands-on familiarity with modern data ecosystems, including SQL execution, ETL/ELT patterns, declarative pipelines, and workflow orchestration.
  • Practical understanding of AI-assisted capabilities, such as automated code translation, developer co-pilots, semantic validation, and LLM-driven refactoring.
  • Ability to navigate technical ambiguity, make sound decisions using data and judgment, and reduce time-to-value for enterprise customers.
  • Ability to translate complex architectural capabilities into clear narratives for customers, field leadership, and executives.

Responsibilities

  • Own the strategic roadmap across the full transformation stack, from platform migration to semantic and context layers, ensuring initiatives move enterprises toward an AI-ready Snowflake platform.
  • Build, mentor, and manage a team of product managers, fostering high velocity, accountability, and technical rigor.
  • Partner with technical leaders to shape execution strategies, balancing engineering effort and long-term architectural scalability across complex pipeline and query transformation workloads.
  • Set roadmap milestones, prioritize initiatives, and ensure cross-functional alignment while championing speed and clarity.
  • Partner with Marketing, field teams, and executive customers to position transformation capabilities, accelerate migrations, and drive platform adoption.
  • Represent Snowflake externally and help shape the industry narrative around legacy modernization, automated pipeline refactoring, and AI-first data architecture.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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