PAID INTERNSHIP · FULLY REMOTE

Bring AI product thinking to your campus.

Help students and early-career PMs learn how AI products are judged: evals, metrics, trade-offs and the interview loop. You will build a community around that material, improve it with what you hear, and measure the result.

HOW THE WORK RUNS

A small product loop, run every week.

  1. 01

    Listen

    Notice what people around you keep asking about AI product work, and where our answers lose them.

  2. 02

    Make something

    A session, a post, a practice circle or a correction to an explanation. Small and finished beats big and planned.

  3. 03

    Read the result

    Check who came, who replied and who signed up. Keep what worked, drop what did not, and tell us why.

WHAT YOU WOULD DO

Four kinds of work, mixed to suit your campus.

Start AI product conversations on campus

Introduce the site to product clubs, MBA cohorts, design societies and anyone moving towards product work. Run a session, start a study circle for interview practice, and bring back the questions people actually asked.

Find where the material falls short

Flag answers that confused someone, suggest interview questions we do not cover yet and check explanations against what students already know. Every change goes through editorial review before readers see it.

Turn good material into posts people share

Draft posts for our company pages from a concept, a scoring rubric or a worked answer, and reply to comments with care. Share a link where it answers a question someone asked.

Measure what you changed

Agree a few targets with us at the start, such as sign-ups from your campus, people in a practice circle or replies to a post, then track them weekly. That habit is the core of a PM's job.

WHAT YOU TAKE AWAY

Stories you can tell in a PM interview.

Behavioural rounds ask for a time you set a goal, shipped something and changed course on evidence. After a few months here you will have several, with your own numbers in them.

  • The material itself. Researching and checking our answers is a close reading of how AI features are evaluated, priced and launched. The concept curriculum is where to start.
  • A record of what you shipped. Posts, sessions and fixes with dates and results, which you can point to when you apply for product roles.
  • A reason to meet people in the field. Where it suits you, represent the site at campus events, meetups and online sessions, and bring back what you learn.

WHO IT SUITS

People others already ask for help.

You might run a product or tech club, write about what you are learning, or be the person classmates message before an interview. You write clearly, you are curious about how AI products work, and you finish what you start.

You do not need product experience. Show us one thing you organised, explained or built that other people used, and tell us what you would try first.

Before applying, spend ten minutes with the free learning paths or a few interview questions. It helps to know what you would be introducing.

APPLY

Six fields and a link.

We read every application. If we would like to talk, we write to the email you give us, and we agree the work and targets together before you start.

Questions about the role? Use the contact page.

YOUR APPLICATION

Apply with a free account.

Sign in, then come straight back here to fill in six short fields. An account keeps out automated applications and lets us reach you if we have a question.

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No payment and no Premium membership needed.

Before you apply

Is this a product management internship?

It is a community and campus role, and the work has the shape of a small product job: choose who you are serving, ship something for them, read what happened and adjust. You will not own a software product or write production code.

How much does it pay, and how is the work judged?

US$25 a week, fully remote. We agree outcomes with you before you start, such as engagement on campus, responses to posts and new learners who sign up. Hours are yours to arrange.

Do I need an account to apply?

Yes, a free one. You can read everything about the role without signing in. Applying needs no payment, no Premium membership, and does not add you to any mailing list.

What should I put in the application?

Where you are based, when you could start, and a few sentences about something you organised, wrote or explained that other people used. For the résumé, paste a link that anyone can open: Google Drive, Google Docs, Dropbox and OneDrive all work.

Where can I be based?

Anywhere. The audience for this site is spread across India, Europe, the US and the rest of Asia, and a campus anywhere is a good place to start. Give your city and country on the form, since time zones shape when we can meet. You need to be 18 or over to apply.

Looking for a full-time AI PM role instead? The AI product manager job board lists open roles at labs and AI-native companies, with an internship and new-grad filter.