Senior Manager, Product Data Science

Snowflake

Senior Manager at Snowflake leading Data Science initiatives for app experience and marketplace. Focusing on AI-powered strategies and mentoring within a high-performing team.

Posted 6/8/2026full-timeMenlo Park • California • 🇺🇸 United StatesSenior💰 $227,000 - $326,600 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate product development and data-driven decision-making.
Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails.
Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically shifting away from automatable work.
Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs for new AI-driven product features.
Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas.
Maximize the impact of the team, by making sure the data scientists have the best and correct context, and ensuring their skill sets are properly matched to the project.
Grow the team, when appropriate. Convince job candidates on why Snowflake, and the product data science team is an awesome place to work

Requirements

What you’ll need

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
Experience in using data science to optimize the user experience.
Expert in SQL and Python.
Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows.
Advanced knowledge/experience in machine learning and Large Language Models (LLMs), including the ability to critically evaluate and validate AI/ML outputs (e.g., using AI evaluation methods and understanding the limitations of AI Functions).
Ability to communicate and influence complex ideas to cross-functional stakeholders.

Benefits

Comp & perks

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
It is every employee's duty to keep customer information secure and confidential.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ScienceAI toolsCortex AI functionsSQLPythonMachine LearningLarge Language ModelsData PipelinesAnalytical WorkflowsAI Evaluation Methods

Soft Skills

MentoringLeadershipCommunicationInfluencingCollaborationProblem SolvingTeam BuildingContextual UnderstandingDecision-MakingEncouraging Innovation

Certifications

Masters in Math/StatisticsPhD in Math/StatisticsMasters in EngineeringPhD in EngineeringMasters in Computer SciencePhD in Computer ScienceMasters in SciencePhD in Science