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Senior/Principal Product Manager - ML Platform - Snowflake Computing

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Job Title
Senior/Principal Product Manager - ML Platform
Job Location
Bellevue, WA, USA
Job Description

Build the future of data. Join the Snowflake team.


As a Senior/Principal Product Manager for ML Platform at Snowflake, you will be at the forefront of building and integrating cutting-edge ML technologies into our cloud data platform. This role involves leading the strategy, development, execution, and evolution of Snowpark ML, an ML toolkit and underlying infrastructure that enables data scientists and ML engineers to build and operate end-to-end ML workflows in Snowflake. You will work closely with a cross-functional team including engineers, data scientists, marketers, and sales professionals to deliver innovative solutions that meet the evolving needs of our customers.

 

AS A SENIOR/PRINCIPAL PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:

  • Define and execute the product roadmap for Snowflake’s ML platform, ensuring alignment with Snowflake's strategic goals.
  • Collaborate with engineering and data science teams to guide product development, from conception to launch.
  • Conduct research and competitive analysis to identify new opportunities in the field of Machine Learning and Data Science.
  • Work closely with customers to understand their needs and incorporate feedback into product design and features.
  • Coordinate with marketing and sales teams to develop go-to-market strategies and support sales enablement.
  • Measure and analyze product performance, using data to inform future product decisions and improvements.
  • Stay abreast of the latest developments in ML technologies to ensure Snowflake remains a leader in this space.
  • Facilitate communication and collaboration across different teams within Snowflake to ensure product success.

 

OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:

  • A degree in Computer Science, Engineering, AI, or a related field; advanced degree is a plus.
  • Proven experience in product management, ideally with a focus on AI, machine learning, search, or related technologies.
  • Strong understanding of machine learning workflows and their applications in enterprise.
  • Excellent communication and leadership skills, with the ability to influence cross-functional teams.
  • Experience in conducting market research and competitive analysis.
  • Strong analytical skills, with experience in leveraging data to make informed product decisions.
  • Passion for technology and innovation, with a customer-centric approach to product development.

 

WHY JOIN OUR AI TEAM AT SNOWFLAKE?

Joining our AI/ML Product team at Snowflake means being part of a dynamic, innovative and a fast-paced environment where your work directly contributes to the advancement of AI/ML technologies in the cloud data space. You'll have the opportunity to work with some of the brightest minds in the industry, access cutting-edge technologies, and shape products that redefine how businesses leverage data. At Snowflake, we foster a culture of learning, collaboration, and growth, where your ideas and contributions are valued and supported. If you are passionate about driving the future of machine learning and enjoy tackling challenging problems, our team is the perfect place for you to thrive and make a significant impact.

 

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.

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Snowflake Computing Headquarters Location

San Mateo, CA

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Snowflake Computing Company Size

Between 2,002 - 20,000 employees

Snowflake Computing Founded Year

2012

Snowflake Computing Total Amount Raised

$2,029,355,520

Snowflake Computing Funding Rounds

View funding details
  • Post Ipo Equity

    $621,456,438 USD

  • Series G

    $479,000,000 USD

  • Series F

    $450,000,000 USD

  • Series E

    $263,000,000 USD

  • Series D

    $105,000,000 USD

  • Series C

    $79,000,000 USD

  • Series B

    $26,000,000 USD

  • Series A

    $4,999,111 USD

  • Seed

    $899,999 USD