# AI Product Management Intern

**Company:** [OpusClip](https://hotfix.jobs/companies/opusclip)
**Location:** Mountain View, CA
**Role:** Product Management
**Salary:** $52k – $58k/yr
**Skills:** Product Management, Artificial Intelligence, LLMs, Generative AI, User Research, Data Analysis, Product Analytics, A/B Testing, Experiment Design, Ai Model Evaluation, Product Requirements, Cross-Functional Collaboration
**Posted:** 2026-08-11

> Supports the development and iteration of AI-powered product experiences through user research, model experimentation, feature evaluation, and cross-functional execution. The role requires hands-on product experience, familiarity with LLMs or generative AI, strong analytical skills, and a bias toward ownership.

## Job Description

## Responsibilities
- Conduct user research and analyze feedback and product data to identify user needs and product opportunities.
- Experiment with LLMs and other AI models to understand their capabilities, limitations, and potential product applications.
- Design and conduct evaluations for AI-powered features, including test cases, success criteria, and analysis of model outputs.
- Translate user insights and experimental findings into product hypotheses and requirements.
- Own or support features through development, launch, and iteration, working closely with engineering and design.
- Track product performance and use qualitative and quantitative signals to inform improvements.

## Requirements
- Prior product management experience through internships, startups, side projects, or other hands-on work.
- Strong interest in AI products, with hands-on experience experimenting with LLMs or generative AI tools.
- Strong analytical and problem-solving skills; comfortable turning ambiguous questions into structured experiments.
- Strong product sense and curiosity about users, technology, and emerging product experiences.
- High ownership and bias toward action in a fast-moving environment.
- Excellent communication and cross-functional collaboration skills; able to use English as a working language.

## Nice-to-Haves
- Technical background in computer science, engineering, data science, or a related field.
- Experience building or prototyping AI-powered products or features.
- Experience with consumer, creator, or video products.

## Compensation and Benefits
- Build real AI products that directly impact users.
- Develop hands-on AI product expertise, including evaluating AI capabilities, designing experiments, and creating product experiences.
- Gain exposure to the full product lifecycle, from user discovery through execution, launch, and iteration.
- Work closely with experienced product, engineering, design, and AI teams in a fast-moving startup environment.

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