Snowflake

Technology

SeniorManager,ProductDataScience

$227–327k Menlo Park, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Manager, Product Data Science at Snowflake. Skills: Data Science, Machine Learning, Large Language Models, Team leadership. Serve as tech lead/manager of Data Science team. Leverage AI tools and functions”

Industry & Context.

Technology
Problems you'll solve

Solve problems; Accelerate impact; Discover simpler ways; Discover powerful ways

Eligibility Requirements

Follow confidentiality and security standards, Abide by data security plan, Keep customer information secure and confidential

What They're Looking For.

Must Have

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, Expert in Python, Demonstrated experience with internal AI tools, Advanced knowledge/experience in machine learning, Advanced knowledge/experience in Large Language Models (LLMs)

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Serve as tech lead/manager of Data Science team

Leverage AI tools and functions

Mentor team members in core DS disciplines

Mentor on effective and governed use of generative

Establish AI best practices and guardrails

Drive team's focus toward AI-native deliverables

Build out Agentic services

Build out semantic views

Conduct AI evaluation for new product features

Strategically shift away from automatable work

Serve as primary data scientist on projects

Validate accuracy and output quality of AI-powered analysis

Develop POCs for new AI-driven product features

Partner with technical and business stakeholders

Develop bottoms up ideas

Ensure data scientists have best and correct context

Ensure skill sets are properly matched to project

Convince job candidates on why Snowflake is awesome

How You'll Work.

Team & Collaboration

Interact with senior management; Interact with product managers; Interact with engineering managers; Communicate complex technical ideas

Communication Scope

Communicate complex ideas; Influence stakeholders

Full Job Description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. - Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day - Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: - Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e

Free ATS check

Applying for this Senior Manager, Product Data Science role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Ashby

  • Ashby is a fast modern ATS — most applications take under 3 minutes.
  • The resume parser is strong; verify parsed experience dates and job titles.
  • Custom screening questions are often scored algorithmically — answer completely.
  • Location field affects geo-based screening; use your actual metro area.

ANONYMOUS · UNFILTERED

What do employees actually say about Snowflake?

Real rants from real employees. Read before you apply.

Read Company Rants →