Principal Product Manager

Responsibilities

• Define the multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing on the data platform.
• Drive expansion into unstructured/multimodal data processing and agentic, Python-based data engineering to open new markets.
• Own ML and AI inference workloads, Python expansion areas, batch pipelines, and core Snowpark surface including execution engine, security, and governance.
• Act as GM for the product: partner with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.
• Collaborate with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience.
• Serve as the definitive internal and external voice on Snowpark for engineering, SEs, and customers.

Requirements

• 8+ years of Product Management experience in developer platforms, data infrastructure, or cloud infrastructure.
• Deep familiarity with the Python ecosystem and distributed data processing at scale.
• Comfortable debating technical tradeoffs with senior engineers; ideally hands-on experience as a Python developer, data scientist, or data engineer.
• Proven track record of taking products 0→1 and/or driving high growth on owned products.
• Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and how they reshape data processing.
• Data-driven with strong analytical rigor; comfortable using metrics and AI-assisted analysis to prioritize under ambiguity.
• High ownership: resilient, low-ego, diplomatic, able to have candid conversations while aligning cross-functional partners.

Nice-to-Haves

• 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.
• Background leading or mentoring other product managers.