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SNSnowflake logo

Snowflake

US-CA-Menlo Park

Senior Product Manager - Enterprise AI.

FULL TIMESENIOR LEVELDATA & ML$200K–287.5K/YR

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.

Come join us to play a leading role in Enterprise AI evolution!

Snowflake empowers every enterprise to achieve its full potential by making agentic AI accessible, trusted, and easy to use. As a rapidly growing team at Snowflake, we are the customer zero of our products where we develop first-of-a-kind AI solutions for our go-to-market teams to amplify their productivity & effectiveness by 10x. We then bring those solutions & learnings to our customers to help them drive significant business impact through AI transformation.

AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:

  • Own enterprise AI products and features that ship to thousands of Snowflake sales professionals

  • Define the product roadmap and establish a data driven prioritization process for incoming feature requests

  • Define the product requirements for upcoming features and product launches

  • Perform user & market research to validate product requirements and designs

  • Work with engineering, data and sales teams to deliver your roadmap using agile sprints

  • Map your dependencies to core platform teams and influence their product roadmap & requirements

  • Work with sales enablement teams to activate your products & features with thousands of sales professionals

  • Develop product strategy for new areas via AI driven workflow automations.

  • Become an expert in your area and engage with external customers to help them develop similar solutions using the best of Snowflake!

OUR IDEAL CANDIDATE WILL HAVE:

  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.

  • 5+ years of experience in Product Management.

  • Experience with SaaS products and/or building products for business users (preferred)

  • Experience with sales / RevOps (preferred)

  • Experience with launching customer facing genAI products (preferred)

  • Experience working in an Agile development environment as product owner.

  • Hands on experience with structured/unstructured data and driving data requirements for user facing products.

  • Familiarity & experience with Snowflake products (preferred)

  • Good communication and presentation skills

  • Experience with working in projects with cross functional stakeholders.

WHY JOIN OUR TEAM AT SNOWFLAKE?

Join us in shaping the future of enterprise AI where you create direct revenue impact with the products you build & the customers you support. You'll work with cutting-edge AI technologies while solving complex challenges for enterprise users. You will work daily with a cross-functional team across engineering, data science & sales while getting exposure to execs across the organization.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Pay
$200k–287.5k/yr
Where
US-CA-Menlo Park
Work
Not stated
Type
Full time
Posted
24 Jul, 2026
Apply on the original postingSign in to apply

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