Marketing Operations Technology & Automation Intern - Fall 2025

Build the future of the AI Data Cloud. Join the Snowflake team.

There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

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. Snowflake is seeking a dynamic and motivated computer science intern to join our Marketing Operations team for exciting hands-on automation projects. As an intern, you will play a crucial role in scoping and mapping APIs, data mapping, and recipe documentation, contributing to the success of our automation initiatives for Marketing.

• 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, fun and inclusive culture

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

• Opportunity to provide meaningful contributions to a real system used by customers

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

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

• Desired Class Level: Currently enrolled in a bachelor's or master's program

• Desired majors: Computer Science, Information Technology, or a related field.

• Required coursework: Strong interest in automation, integration, and API technologies.

• Recommended coursework: Basic understanding of APIs and data mapping concepts.

• Internship Cycle: Fall 2025 (Sept - Dec Duration)

• Bonus Experience:

  • Excellent analytical and problem-solving skills.

  • Prior experience with Zapier, Workato, Automate.io or similar workflow automation platform

  • Proficiency in documenting technical processes and workflows.

  • Strong communication and teamwork skills.

  • Self-motivated and eager to learn in a fast-paced environment.

• Experience and design of workflow automations

• Learn and become proficient in multiple technologies within martech

• Develop new 3rd party integrations which contribute to expanding the functionality of Marketing Operations

• Gain an understanding of data flows within a marketing operations environment.

• Work closely with the Marketing Operations team to analyze and document the Zoom Webinar and Adobe Experience Manager (AEM) APIs.

• Identify opportunities for automation and integration with other systems.

• Create comprehensive documentation for Workato automation recipes and workflows.

• Build a library of reusable automation components and best practices.

• Create framework and documentation for workflow automation maintenance and upkeep through product lifecycle.

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 anessential part of their duties. It is every employee's duty to keep customer information secure anconfidential.

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 $23.00 - $31.00 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.