Snowflake
Senior Manager, Product Data Science
US-CA-Menlo Park · Hybrid · Manager · Full-time · Posted Jun 8, 2026
- Experience
- 10+ years as a Data Scientist; 5+ years building, managing, and leading a high-performing data science team.
- Education
- Master's or PhD in Math/Statistics, Engineering, Computer Science, Science, or a related quantitative field.
About the job
Leads and contributes hands-on to a Product Data Science team focused on app experience and the data marketplace, using data science and AI to improve products and customer workflows.
What you'll do
- Lead, mentor, and grow a data science team while serving as its technical lead and primary data scientist on projects.
- Develop AI-driven product capabilities, including agentic services and semantic views, and evaluate the accuracy and quality of AI outputs.
- Partner with product, engineering, and business stakeholders to guide data-driven decisions and improve user experience.
What they ask for
- 10+ years of experience as a Data Scientist.
- 5+ years of experience building, managing, and leading a high-performing data science team.
- Experience using data science to optimize user experience; expert in SQL and Python.
- Demonstrated experience with internal AI tools, and advanced knowledge of machine learning and LLMs, including evaluating and validating outputs.
Tools
SQL, Python, Cortex AI functions, Agents, CoCo, Large Language Models (LLMs)
AI focus
Leads AI-native product work, builds agentic services and semantic views, evaluates AI features, validates AI-powered analysis, and establishes governed generative AI practices and guardrails.
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