Technical Operations Intern

Eulerity is an AI-native marketing automation platform. Our software runs paid advertising, social, listings, reputation, and call tracking for thousands of locations across enterprise franchises and SMB networks, executing autonomously across Google, Meta, Apple, and Microsoft. The Technical Operations team is the analytical engine that keeps that execution sharp.

We are hiring an intern to sit with this team for the summer.

Who we are looking for

This is not a marketing internship. We are looking for someone who is genuinely analytical. The kind of person who opens a messy dataset and gets curious instead of overwhelmed. Who enjoys figuring out why a number moved. Who can read a chunk of SQL or Python and follow what it does, even if they would not write it from scratch. Who would otherwise be heading toward an analyst seat at a consulting firm or a product role at a startup.

If you love spreadsheets, you will feel at home here. If you have ever built a model in Excel just to understand something better, even more so.

What you will actually do

You will work directly with our Technical Account Management and Analytics teams on the parts of campaign management that require thinking, not clicking. That includes:

• Diagnosing why specific campaigns are underperforming and proposing fixes grounded in the data.
• Building and refining Excel and Sheets models that our account teams use to make decisions.
• Auditing campaigns at scale, often across hundreds of locations for a single brand, and surfacing patterns no one else has noticed.
• Pulling, cleaning, and analyzing performance data from Google Ads, Meta, LinkedIn, and our internal platform.
• Helping operationalize new analytical workflows, including ones we are building on top of AI tooling.
• Contributing to internal projects that make our team faster and smarter.

You will not be writing ad copy or designing creative. You will be doing the analytical work that makes the campaigns actually perform.

What we want from you

• Current student or recent graduate, ideally with coursework in something quantitative. Economics, statistics, computer science, engineering, math, finance, or similar. A traditional marketing background is not what we are looking for here.
• Strong Excel chops. Comfort with pivot tables, lookups, conditional logic, and building models from scratch.
• Basic code literacy. You do not need to be a programmer, but you should be able to read SQL, Python, or JavaScript and roughly understand what it is doing.