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Snowflake

Product Management Intern (Summer 2027)

Snowflake is hiring a Product Management Intern (Summer 2027) in Menlo Park, United States. It pays $60-$70/hr and Level rates it ; you can apply on Snowflake.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include product management, market research and cross functional leadership.
  • Level classifies it as an internship.
  • Level lists 365 other open roles at Snowflake.
  • The role was posted in the last few days.

AI in this role

Product Management intern to help build AI-native features and agentic enterprise capabilities at Snowflake.

product-managementmarket-researchcross-functional-leadershipdata-driven-decision-making

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 dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.

What We Offer:
  • Paid, full-time internships in the heart of the software industry

  • Post-internship career opportunities (full-time and/or additional internships)

  • Exposure to a fast-paced, innovative culture

  • A chance to work with world-class experts on challenging projects

  • Opportunity to provide meaningful contributions to real systems used by customers

  • High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation

  • Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, access to our great office and benefits at the Menlo Park office

What We Expect:
  • Must be actively enrolled in an accredited college/university program during the time of the internship

  • Desired class level: 1st/2nd year MBA Students

  • Interest in Product Management and the technology industry

  • Strong analytical and problem-solving skills

  • Excellent communication and interpersonal skills

  • Ability to work as part of a team

  • Dedication and passion for technology

  • When: Summer (May/June- September)

  • Duration: 12 weeks

What You Will Learn/Gain:
  • How to contribute to product strategy and planning

  • Experience in market research and competitive analysis

  • Exposure to product design and user experience principles, particularly in the era of AI

  • Understanding of data-driven decision-making

  • Experience working with cross-functional teams (engineering, design, marketing)

  • Opportunity to present findings and recommendations to senior management

Possible Teams/Work Focus Areas:

We are hiring in a few teams and your focus may include:

  • Artificial Intelligence and Machine Learning

  • Data Engineering and Development

  • Snowsight and user interface development

  • Product Platform (Billing & Monetization, Application Collaboration Frameworks, Database Security, Privacy, and Governance, etc..)

  • Data Platform (Data Pipelines & Streaming, Metadata, Storage & Data Lake, etc..), and our Service Runtime (Inc’l Snowpark & SnowPandas, Container Services, etc..)

    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 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

How we rate this

Product Management Intern (Summer 2027) at Snowflake rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementMarket ResearchCross Functional LeadershipData Driven Decision Making

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where market research was part of your work. What did you do?
  3. Tell me about a project where cross functional leadership was part of your work. What did you do?
  4. Tell me about a project where data driven decision making was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Product Management, Market Research, Cross Functional Leadership, and Data Driven Decision Making. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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