At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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 0→1 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 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.
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 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.
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
Skills Required
- 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 (hands-on Python developer, data scientist, or data engineer experience preferred).
- Experience with Java and/or Scala for distributed processing.
- Proven track record of taking products 0->1 and/or driving high growth for products you owned.
- Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and AI-native product thinking.
- Data-driven analytical rigor and comfort using metrics and AI-assisted analysis to prioritize and iterate.
- High ownership, resilience, low-ego collaboration, and strong cross-functional communication skills.
- Experience at a cloud platform provider, open-source Python ecosystem company, streaming platform, or PyData startup.
- Prior experience with unstructured or multimodal data processing.
- GM-style ownership of a product line including go-to-market and business outcomes.
- Experience leading or mentoring other product managers.
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
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Equity Value & Accessibility — Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
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Healthcare Strength — Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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