Product Marketing, AI-Powered Data Engineering Intern (Spring 2027)
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.
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:
WHAT WE EXPECT :
WHAT YOU WILL LEARN / GAIN :
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 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.
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We deliver the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. That whole “silo” thing? Gone. Because inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.