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Babbel

Performance Marketing Intern

Babbel is hiring a Performance Marketing Intern for a remote role open to applicants in United States. Level rates it ; you can apply on Babbel.

Level's read on this job

  • On Level's scale, this marketing role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • This is listed as a remote role.
  • Level classes it as an internship.
  • Babbel has 10 other open roles on Level.
  • Posted in the last few days.

AI in this role

Want to learn how a subscription app really grows? Babbel is looking for a Performance Marketing Intern to join our New York City team. You’ll help run paid ad campaigns, see what’s working, and help decide what we test next. You’ll work alongside experienced marketers and get hands-on with the tools and numbers behind paid growth. This is a great start for someone who is looking for a career in marketing!

About the Role:

Performance marketing means paid ads where we can measure the results, so we know exactly what each ad brings in. You'll join the team that runs these ads for Babbel across search, app, social, and display. You'll see a campaign from the first idea to launch to results, and learn how we decide what to keep, change, or stop. Which channels you focus on may shift based on what the team needs.

Start Date: November
Internship Duration: 6 months

What You’ll Do

  • Help run paid ad campaigns across search, app, social, and display: get them set up, check everything is working, and keep an eye on budgets

  • Build regular performance reports and track the numbers that matter, like spend, installs, subscriptions, and the cost of winning each new subscriber

  • Dig into the data to spot what’s working and what isn’t, then suggest what to try next

  • Study our ads and our competitors’ ads to find the hooks, messages, and formats that get people to sign up

  • Help run tests on ad copy, creative, landing pages, and audiences, and write up what we learned

  • Work with teams across Creative, Analytics, Product, and Martech

What You’ll Gain

  • Hands-on experience running paid campaigns at a real subscription business

  • Practical training in the core skills of performance marketing: testing, reading data, and improving results

  • Mentorship from experienced marketers on the team

  • Work you can talk about in future interviews, and a stronger resume

You Might Be a Great Fit If

  • You’re curious about how paid marketing works, whether that’s performance marketing, digital ads, user acquisition, growth, or media

  • Currently enrolled in, or recently graduated from, a college or university program. Marketing, business, or data-related majors are a plus.

  • You like numbers and feel comfortable in Excel or Google Sheets

  • You’re organized and can juggle a few things at once

  • You communicate clearly, in writing and in conversation

  • Bonus, but not required: experience with ad platforms, analytics tools, or subscription businesses

Don’t meet every point? Apply anyway. We care most about curiosity and a real interest in learning.

Why Babbel

At Babbel, we create products that help people connect across cultures through language. As an intern, you’ll be part of that mission and see how your work helps real people start learning.

Compensation: $18.00 per hour

This position is located in NYC and requires a minimum of 3 days/week in office.

Babbel is an equal opportunity employer committed to diversity and inclusion. Babbel Inc. uses AI-assisted tools to help review applications and support our recruiting team. All hiring decisions are made by people.

How we rate this

Performance Marketing Intern at Babbel rates 51 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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