Snowflake

1 month ago

Senior Manager, Product Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead a Data Science team within Snowflake’s Product organization, acting as tech lead and hands-on data scientist. Mentor and scale the team, drive AI-native deliverables (Agentic services, semantic views, AI evaluation), collaborate with product, engineering and business stakeholders, and ensure high-quality AI-powered analyses across large datasets.

Location: Menlo Park

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the Data Science team as the tech lead/manager within the Product organization, leveraging AI tools and functions to accelerate product development and data-driven decision-making.
•Mentor team members in core DS disciplines and govern the use of generative AI tools, establishing AI best practices and guardrails.
•Drive the team's focus toward AI-native deliverables, such as Agentic services and semantic views, while evaluating AI for new product features.
•Hands-on as the primary data scientist on projects, validating accuracy and output quality of AI-powered analysis and developing POCs for new features.
•Partner with technical and business stakeholders to craft solutions and empower the team to develop bottoms up ideas; ensure context and skills are matched to projects.

Pay and Benefits

Salary: USD 227,000 - 326,600 annually

Key Requirements

•Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field
•10+ years experience as a Data Scientist
•5+ years of experience in building, managing, and leading a high-performing data science team
•Expert in SQL and Python
•Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows; advanced knowledge of ML and LLMs; ability to communicate complex ideas to cross-functional stakeholders

Experience:10+ yearsData scienceAIMLLLMsData engineeringAnalytics

Education:Master's

Skills:LeadershipCommunicationMentoringStakeholder management

Tech Stack:SQLPythonCortex AIAgentsCoCoLLMsMachine learning

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 Manager, Product Data Science

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the Data Science team as the tech lead/manager within the Product organization, leveraging AI tools and functions to accelerate product development and data-driven decision-making.
•Mentor team members in core DS disciplines and govern the use of generative AI tools, establishing AI best practices and guardrails.
•Drive the team's focus toward AI-native deliverables, such as Agentic services and semantic views, while evaluating AI for new product features.
•Hands-on as the primary data scientist on projects, validating accuracy and output quality of AI-powered analysis and developing POCs for new features.
•Partner with technical and business stakeholders to craft solutions and empower the team to develop bottoms up ideas; ensure context and skills are matched to projects.

Pay and Benefits

Salary: USD 227,000 - 326,600 annually

Key Requirements

•Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field
•10+ years experience as a Data Scientist
•5+ years of experience in building, managing, and leading a high-performing data science team
•Expert in SQL and Python
•Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows; advanced knowledge of ML and LLMs; ability to communicate complex ideas to cross-functional stakeholders

Experience:10+ yearsData scienceAIMLLLMsData engineeringAnalytics

Education:Master's

Skills:LeadershipCommunicationMentoringStakeholder management

Tech Stack:SQLPythonCortex AIAgentsCoCoLLMsMachine learning

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