Principal Product Manager - Snowpark

About the Role

Snowpark is how developers run distributed Python, Java, and Scala workloads directly on the Snowflake platform — securely, at scale, and without moving data. It is one of Snowflake's most differentiated and fastest-growing products, and as workloads become agent-driven — where Python is the default — its growth is only accelerating. Having expanded from structured data into semi-structured and ETL workloads, Snowpark is now entering its most exciting phase: unstructured, multimodal, and agentic AI data processing. We are looking for a Principal Product Manager to own Snowpark and lead this next chapter.

Responsibilities

• 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.
• 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.
• Own the Platform: Own ML and AI inference workloads, Python expansion areas, batch pipelines, and the core Snowpark surface — execution engine, security, and governance.
• Drive Go-To-Market: Act as a GM for the product, partnering with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.
• Collaborate Across Boundaries: Partner with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience.
• Be the Go-To Expert: Become the definitive voice on Snowpark — internally for engineering and SEs, and externally for customers.

Requirements

• 8+ years of 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 — able to have candid, tough conversations while keeping cross-functional partners aligned.

Qualifications

Our ideal candidate has the above requirements and the following bonus points:

• 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.

Benefits

This role is eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Pay

The estimated base salary range for this role is $264,000 - $379,500. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

Schedule

No specific schedule information is provided.