Product Marketing, AI-Powered Data Engineering Intern

Location: Menlo Park, California, United States

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.

Snowflake started as the place companies go to understand their data. Now we’re making it the place they put that data to work for AI. Our Data Engineering team builds the pipelines, platforms, and AI-driven solutions that power how Snowflake goes to market, from customer intelligence and launch readiness to the stories that bring our impact to life. We sit at the intersection of engineering, go-to-market strategy, and customer storytelling.

As an intern on this team, you'll build and scale the data infrastructure behind some of Snowflake's most critical go-to-market initiatives including AI-powered workflows, product launch trust and readiness, and the customer reference programs that ground our narrative in real-world outcomes. You’ll partner directly with Product, Sales, Customer Marketing, and Demand Generation to turn raw data into compelling, trustworthy customer stories and actionable launch insights. You’ll get a front-row seat to how data engineering drives strategic impact at one of the fastest-moving companies in AI.

WHAT YOU’LL DO:

• Build end-to-end customer evidence including sourcing, developing, and packaging customer stories and references that showcase the full data engineering platform
• Support key product launch planning and Summit readiness for upcoming data engineering priorities
• Help activate the field and develop practical assets sales teams can use
• Partner closely with Product, Engineering, Sales, Developer Relations, and Demand Generation
• Present your work to senior leaders

WHAT WE EXPECT:

• Currently pursuing a Master/MBA (or equivalent graduate degree)
• Availability to intern 40 hours per week (12 week internship) with start dates 1/4 or 1/19.
• Analytical and curious: You like digging into data, competitive landscapes, and customer problems
• A strategic thinker who can zoom out on market dynamics and zoom in on crisp messaging
• Comfortable with ambiguity and fast-moving priorities

WHAT YOU WILL LEARN / GAIN:

• Real ownership on live go-to-market initiatives
• Exposure to the full GTM machine at a leading AI company including product, sales, engineering, analyst relations, content, demand gen, and more
• A crash course in data + AI, the market everyone is trying to understand right now

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

The following represents the expected range of compensation for this role:

• The estimated pay range for this role is $40.00 - $47.00 per hour.

The successful candidate’s starting hourly rate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; flexible spending & health savings account; employee assistance program; and other company benefits.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.