Principal Product Manager - Snowpark

Snowflake Snowflake · Data AI · WA-Bellevue, United States · Product Management

Principal Product Manager to own and lead the strategy, growth, and go-to-market for Snowpark, focusing on its expansion into unstructured/multimodal data processing and agentic, Python-based data engineering. This role involves owning ML and AI inference workloads, Python expansion, batch pipelines, and the core Snowpark execution engine, security, and governance.

What you'd actually do

  1. Define the Mission: Own the end-to-end, multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing on the data platform.
  2. Lead the 0→1: Drive the expansion into unstructured/multimodal data processing and agentic, Python-based data engineering — the greenfield bets that open new markets for Snowflake.
  3. Own the Platform: Own ML and AI inference workloads, Python expansion areas, batch pipelines, and the core Snowpark surface — execution engine, security, and governance.
  4. Drive Go-To-Market: Act as a GM for the product, partnering with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.
  5. Collaborate Across Boundaries: Partner with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience.

Skills

Required

  • Product Management experience in developer platforms, data infrastructure, or cloud infrastructure
  • Technical Robustness: Deep familiarity with the Python ecosystem and distributed data processing at scale
  • A Growth Mindset: A proven track record of taking products 0→1 and/or driving high growth on something you personally owned
  • AI-Native Fluency: Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and how they reshape data processing
  • Analytical Rigor: Data-driven and comfortable using metrics and AI-assisted analysis to hyper-prioritize and iterate under ambiguity
  • High Ownership: Resilient, low-ego, and diplomatic

Nice to have

  • Experience at a cloud platform provider (serverless/data processing), an open-source Python ecosystem company (e.g., Ray/AnyScale), a streaming platform (e.g., Flink/Confluent), or a PyData-space startup.
  • Prior experience with unstructured or multimodal data processing.
  • GM-style ownership of a product line, including go-to-market and business outcomes.
  • A background of leading or mentoring other product managers.

What the JD emphasized

  • own the strategy, growth, and go-to-market
  • most senior PM on the product
  • own the end-to-end, multi-year strategy and roadmap
  • Drive the expansion into unstructured/multimodal data processing and agentic, Python-based data engineering
  • Own ML and AI inference workloads
  • Act as a GM for the product
  • 8+ years of Product Management experience
  • Deep familiarity with the Python ecosystem and distributed data processing at scale
  • proven track record of taking products 0→1 and/or driving high growth on something you personally owned
  • AI-Native Fluency
  • GM-style ownership of a product line

Other signals

  • agentic enterprise
  • agentic, Python-based data engineering
  • unstructured, multimodal, and agentic AI data processing
  • AI-Native Fluency
  • agentic workflows