# Principal Product Manager

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Bellevue, WA
**Role:** Product Management
**Salary:** $264k – $380k/yr
**Experience:** 8+ years
**Skills:** Product Management, Python, distributed data processing, ml inference, AI Workflows, Data Infrastructure, Cloud Infrastructure, Agentic AI, unstructured data, multimodal data, snowpark, go-to-market
**Posted:** 2026-07-23

> Principal Product Manager owning strategy, roadmap, and GM responsibilities for Snowflake's Snowpark platform. Drive 0→1 expansion into unstructured, multimodal, and agentic AI data processing while leading growth of Python/Java/Scala distributed workloads. Requires 8+ years PM experience, deep Python/distributed systems expertise, and AI-native fluency.

## Job Description

## 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.

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