Snowflake

1 day ago

Principal Product Manager - Snowpark

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 32 minutes agoStatus: Live

Job Summary

Own the Snowpark product line as a general-manager-style Principal Product Manager, defining a multi-year strategy and roadmap for distributed Python, Java, and Scala processing on the Snowflake data platform. Lead 0→1 expansion into unstructured, multimodal, and agentic Python-based data engineering, covering ML/AI inference workloads, batch pipelines, and the Snowpark surface (including security and governance). Drive go-to-market with Sales, Sales Engineering, and Marketing while collaborating with engineering and orchestration teams like Airflow integrations.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Director level

Key Responsibilities

•Own the end-to-end, multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing.
•Lead 0→1 expansion into unstructured/multimodal data processing and agentic, Python-based data engineering.
•Own ML and AI inference workloads, Python expansion areas, batch pipelines, and core Snowpark surface including execution engine, security, and governance.
•Drive go-to-market by partnering with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.
•Partner with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience and be the internal/external expert.

Pay and Benefits

Salary: USD 264,000 - 379,500 annually

Key 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, with comfort debating technical tradeoffs with senior engineers.
•Proven track record of taking products 0→1 and/or driving high growth on products you owned.
•Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and how they reshape data processing.
•Data-driven analytical rigor using metrics and AI-assisted analysis to prioritize and iterate under ambiguity.

Experience:8+ yearsDeveloper platformsData infrastructureCloud infrastructure

Skills:LeadershipAnalytical rigorGrowth mindsetHigh ownershipCross-functional collaborationLow ego

Tech Stack:PythonJavaScalaMLAIMCPAgentic workflowsML inferenceAirflowRayAnyScaleFlinkConfluent

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

1 day ago

Principal Product Manager - Snowpark

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 32 minutes agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Director level

Key Responsibilities

•Own the end-to-end, multi-year strategy and roadmap for Snowpark as the standard for distributed Python, Java, and Scala processing.
•Lead 0→1 expansion into unstructured/multimodal data processing and agentic, Python-based data engineering.
•Own ML and AI inference workloads, Python expansion areas, batch pipelines, and core Snowpark surface including execution engine, security, and governance.
•Drive go-to-market by partnering with Sales, Sales Engineering, and Marketing to accelerate adoption and growth.
•Partner with engineering, ecosystem, and orchestration teams (e.g., Airflow integrations) to define the end-to-end Snowpark experience and be the internal/external expert.

Pay and Benefits

Salary: USD 264,000 - 379,500 annually

Key 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, with comfort debating technical tradeoffs with senior engineers.
•Proven track record of taking products 0→1 and/or driving high growth on products you owned.
•Familiarity with modern AI tooling for data platforms (e.g., MCP, agentic workflows, ML inference) and how they reshape data processing.
•Data-driven analytical rigor using metrics and AI-assisted analysis to prioritize and iterate under ambiguity.

Experience:8+ yearsDeveloper platformsData infrastructureCloud infrastructure

Skills:LeadershipAnalytical rigorGrowth mindsetHigh ownershipCross-functional collaborationLow ego

Tech Stack:PythonJavaScalaMLAIMCPAgentic workflowsML inferenceAirflowRayAnyScaleFlinkConfluent

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn