Snowflake

1 month ago

Senior Product Manager - AI Migrations

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Product Manager for AI migrations owning features within Snowflake’s GenAI-powered migration engine. You’ll balance technical constraints, guide MVP-driven delivery, align with company growth goals, enable GTM and partner enablement, and measure usage and impact to reduce customer migration time, while mentoring others and shaping the PM org.

Location: Menlo Park

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Own Feature Direction & Alignment: define and align roadmaps and projects with the broader company strategy and migration goals.
•Balance Technical Constraints: understand migration needs (data types, ETL, post-migration validation) and balance engineering effort, customer value, and feasibility.
•Execute with Transparency: help engineering prioritize with clear rationale and keep stakeholders updated with precise communication.
•Drive with an MVP Mindset: partner with engineering to ship MVPs for select customers to validate hypotheses quickly and iterate.
•Understand GTM & Enablement: learn how migration features are taken to market and ensure collateral, enablement pathways, and partner ecosystems are in place and adopted

Pay and Benefits

Salary: USD 200,000 - 287,500 annually

Key Requirements

•6+ years of enterprise product management experience
•Solid technical foundation with data ecosystems, databases, SQL platforms, data engineering, and ETL workloads
•Developer tools, APIs, or data platforms experience with strong user ergonomics
•GenAI / LLM familiarity and AI-powered feature delivery experience
•Strong collaboration across Engineering, Professional Services, Partners and cross-functional teams

Experience:6+ yearsData platformsDatabasesData engineeringETL

Skills:CommunicationLeadershipStakeholder managementPrioritization

Languages:English

Tech Stack:SQLSQL platformsData pipelinesETLLangChainGenerative AIDatabases

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 month ago

Senior Product Manager - AI Migrations

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Own Feature Direction & Alignment: define and align roadmaps and projects with the broader company strategy and migration goals.
•Balance Technical Constraints: understand migration needs (data types, ETL, post-migration validation) and balance engineering effort, customer value, and feasibility.
•Execute with Transparency: help engineering prioritize with clear rationale and keep stakeholders updated with precise communication.
•Drive with an MVP Mindset: partner with engineering to ship MVPs for select customers to validate hypotheses quickly and iterate.
•Understand GTM & Enablement: learn how migration features are taken to market and ensure collateral, enablement pathways, and partner ecosystems are in place and adopted

Pay and Benefits

Salary: USD 200,000 - 287,500 annually

Key Requirements

•6+ years of enterprise product management experience
•Solid technical foundation with data ecosystems, databases, SQL platforms, data engineering, and ETL workloads
•Developer tools, APIs, or data platforms experience with strong user ergonomics
•GenAI / LLM familiarity and AI-powered feature delivery experience
•Strong collaboration across Engineering, Professional Services, Partners and cross-functional teams

Experience:6+ yearsData platformsDatabasesData engineeringETL

Skills:CommunicationLeadershipStakeholder managementPrioritization

Languages:English

Tech Stack:SQLSQL platformsData pipelinesETLLangChainGenerative AIDatabases

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