Product Management Intern

Aristotle; San Francisco (CA); Sur place; USD 9 000 - 13 000; Plein temps

Résumé du poste

Aristotle in San Francisco invites a 12-week product internship where you will own a single problem from the first customer conversations to a tested, shipped solution. You will observe tutoring sessions, synthesize what students and parents actually need, and write specs that engineers can build from.

You will sit with the founders, engineers, and tutors as you move quickly toward production. You will work with messy data, ask sharp questions, and learn to make decisions with incomplete

Qualifications

• Experience in product management or research setting.
• Ability to work with messy data and imperfect information.
• Some exposure to analytics or AI tools helps but judgment matters most.

Responsabilités

• Talk to students, parents, and tutors to understand the product’s current performance.
• Define one clear 0→1 problem and write a short spec the team can review quickly.
• Build lightweight experiments and pilots to validate assumptions before engineering time.
• Present findings and outline next steps if given more time.

Connaissances

Product management

Data analysis

SQL basics

Experimentation

Outils

SQL

Description du poste

Own a critical 0→1 product problem from research through launch.

The Role

Product managers at Aristotle do not sit in a corner writing specs. Over twelve weeks in San Francisco, you will own a single problem from the first confused customer conversation to a tested, shipped solution. You will watch real tutoring sessions, synthesize what students and parents actually need, write specs that engineers can build from, and run pilots to see if your bet was right. We are a small team, so you will sit next to the founders, engineers, and tutors. The pace is fast, the feedback is direct, and the work ends up in front of real users.

What you'll do

• Talk to students, parents, and tutors to understand where the product is working and where it is failing.
• Define one clear 0→1 problem, pick a success metric, and write a short spec that the team can review in hours, not days.
• Build lightweight experiments and pilots to validate assumptions before we commit engineering time.
• Present findings to the team, including what you would do next if you had another month.

What we're looking for

You should have experience building something: at a previous internship, a student club, a side project, or a startup. You should be comfortable with messy data, half-formed ideas, and the fact that your first draft will be wrong. We want people who ask sharp questions, write clearly, and can make a decision with incomplete information. Some exposure to SQL, analytics, or AI tools helps, but we care more about your judgment and your willingness to ship.

Why this matters

AI products are easy to prototype and hard to get right. The difference is usually someone in the room who actually understands the user. If you do this well, you will leave the internship with a real feature or process in production and a clear story about how you made it better. That is what product work looks like here.