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Active1mo ago

Senior Manager, Product Data Science

Snowflake·📍 Menlo Park, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$175,875–$199,750 / year · Jobiba est.

Market pay estimate

$175,875–$199,750 / year for comparable Senior Manager roles in United States. Not employer-provided.

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Role overview

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, anal

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Role market pulse

How Senior Manager demand looks in United States

50/100 · steady

Live jobs

121

Posted 30d

58

30d movement

-7.9%

Remote share

19.8%

Salary listed

41.3%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

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. 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. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking fo

Department · Product Management

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Hiring company

Snowflake

Technology

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