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Snowflake is seeking a Director of Product Management to lead the Data Transformation product portfolio within the Frontier Engineering organization. This role sits at the intersection of enterprise data infrastructure and AI-native product strategy.
You will own Snowflake's Data Transformation product suite, spanning intelligent migration products, multi-source ingestion pipelines, legacy data warehouse modernization, ETL/ELT transformation, and data platform rationalization. Your scope includes guiding customers through every layer of a modern AI architecture: Platform Foundation & Migration, Data Ingestion & Engineering, and Semantic, Context, Ontology, & Governance layers.
Key Responsibilities:
- Define and own the strategic roadmap across the full transformation stack, ensuring every initiative moves enterprises toward an AI-ready Snowflake platform
- Build, mentor, and manage a team of product managers, fostering a culture of high velocity, accountability, and technical rigor
- Partner deeply with engineering leadership to shape execution strategies, balancing effort and architectural scalability across complex pipeline and query transformation workloads
- Champion an MVP mindset: set precise roadmap milestones, prioritize ruthlessly, and ensure cross-functional alignment
- Own go-to-market strategy and customer adoption, partnering with Marketing, field teams, and executive customers to accelerate migrations and drive platform adoption
- Serve as an external thought leader, shaping industry narrative around legacy modernization, automated pipeline refactoring, and AI-first data architecture
Snowflake's mission is to transform the full enterprise data estate and enable customers to deploy Agentic AI with full, governed access to their complete data ecosystem. Data Transformation workflows represent some of the most complex enterprise challenges and highest-impact opportunities for customers.
Requirements:
- 12+ years in data infrastructure with proven track record delivering enterprise-scale data platforms, migration tooling, query engines, or pipeline infrastructure
- Strong experience building, managing, and mentoring high-performing product management teams
- Deep technical foundation with hands-on familiarity in modern data ecosystems: SQL execution, ETL/ELT patterns, declarative pipelines, 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 instincts, and reduce time-to-value for enterprise customers
- Exceptional executive communication skills to translate complex architectural capabilities into clear, compelling narratives for customers, field leadership, and executives
