ABOUT THE ROLESnowpark 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. This is a general-manager-style role: you will own the strategy, growth, and go-to-market for a critical product line, acting as an entrepreneur with the autonomy to propose and launch multiple 01 bets on top of an already highly successful product. You will be the most senior PM on the product, with a clear path to lead the Snowpark PM team as you demonstrate impact.
AS A PRINCIPAL PM AT SNOWFLAKE, YOU WILL:- 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 01: 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.
OUR IDEAL CANDIDATE HAS:- 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. You are comfortable debating technical tradeoffs with senior engineers, ideally from hands-on experience as a Python developer, data scientist, or data engineer.
- A Growth Mindset: A proven track record of taking products 01 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.
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.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
