Growth Marketing Intern

About the team

The Marketing team is how most people find House AI. We turn real redesigns made in the app into posts, videos, pins, articles and campaigns, and we measure every piece by the people it brings to the app. The team works closely with the founders, the creator partnerships team and design.

About the role

We're looking for a Growth Marketing Intern to design and run the experiments that turn more visitors, viewers and readers into House AI users.

Every decision at House AI gets a number that says whether it worked. You will find the weakest step between someone's first view and their first redesign, test changes to it, and report what moved. You will work with the founders, marketing analytics and the channel teams.

This internship is 100% remote and open to students anywhere in the United States or the United Kingdom. It is 20 hours a week for the Fall 2026 term.

In this role, you will

• Map the funnel: Document how people move from a post, search or ad to installing the app and making their first redesign.
• Run experiments: Design and run tests on landing pages, App Store copy, emails and social calls to action.
• Write test plans: Define the hypothesis, the metric and the stopping rule before each test starts.
• Analyze results: Read the data, call the result honestly, and recommend what to ship.
• Spot opportunities: Find new acquisition channels worth a small test, and size them before the team commits.
• Share what you learn: Keep an experiment log the whole team can read and build on.

You might thrive in this role if you have

• Current enrollment in a degree program, or a degree finished in the last year. Any major, as long as you can show the work.
• Comfort with numbers: percentages, conversion rates and a simple spreadsheet model.
• A structured way of thinking about cause and effect.
• Clear writing that turns a result into a recommendation.
• Curiosity about why people download, keep or delete an app.
• Willingness to be wrong quickly and change course.

Nice to have

• Coursework in statistics, economics or marketing analytics.
• Experience with A/B testing, Google Analytics or a similar tool.
• Experience growing a product, club or account, with numbers to show.

Hours, pay and terms

• 20 hours a week, part time.
• Fully remote. You can be anywhere in the United States or the United Kingdom.
• Unpaid. There is no stipend and no health coverage.
• Perks: a letter of recommendation at the end of the term, course credit support (we sign faculty sponsor forms, take check-in calls with your professor and complete end-of-term evaluations), mentorship, and help with your resume and LinkedIn.
• You get access to the AI tools you need for your work.
• Fall term runs August 10 to December 18, 2026, with rolling start dates inside the term.
• Applications close October 31, 2026.
• Work authorization is not required.

Course credit

Course credit is supported. We sign faculty sponsor forms, take check-in calls with your professor, and complete end-of-term evaluations. Your supervisor is Jeffrey Escobar, CTO.

How to apply

Send your resume or CV and a few sentences about your goals: what you want to learn, what you want to work on, and why House AI. That is all we need to start. We read every application.

• Apply: Send your resume and a few sentences about your goals. It takes about two minutes.
• Introductory call: If your background fits the role, you get a link to book a 15-minute video call with the hiring team.
• Working interview: The next business day, a 30-minute session where you work through a real House AI task with the AI tools we use every day.
• Decision: If it is a match, you get an offer the same day and start on a real project right away.