Senior Manager, Product Data Science
Snowflake · US-CA-Menlo Park
Big Tech AIremotesenior manager$227k–$327k
At a glance
Highlights
- Lead Product Data Science for app experience and data marketplace areas.
- Simplify access to third-party data to a single click for customers.
- Build agentic services and evaluate AI-powered product features.
Ideal candidate
AI-native leader with deep product data science experience who thrives in fast-moving environments. Low-ego mentor energized by reinventing work with AI and driving impact through user-centric innovation.
Requirements
- Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field
- 10+ years experience as a Data Scientist
- 5+ years experience building, managing and leading a high-performing data science team
- Experience using data science to optimize user experience
- Expert in SQL and Python
- Advanced knowledge in machine learning and LLMs including validating AI outputs
- Ability to communicate complex ideas to cross-functional stakeholders
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
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