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AI Product Manager Intern

icon building Company : Epos Inc
icon briefcase Job Type : Internship

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Job Description - AI Product Manager Intern

Description

Role Overview

We are looking for a Applied AI Product Manager Intern to support the Applied AI Product Team in driving product-led growth initiatives, experimentation, and AI-enabled customer engagement.

This role sits at the intersection of marketing, product and design. You will work on real product problems ranging from performance analytics to AI-driven user interactions while contributing directly to product improvements and go-to-market execution.

Key Responsibilities

1. Product Performance & Reporting

  • Prepare structured performance reports and dashboards for internal stakeholders
  • Translate product metrics into clear insights and management-ready presentations
  • Support weekly/monthly business reviews with data-backed narratives

2. Digital Marketing Enablement

  • Assist in marketing workflow redesign through use of automation and AI
  • Build product and integrate solutions to supporting marketing efforts

3. Data Analysis & Experimentation

  • Analyze product and user data to identify drop-offs, trends, and growth opportunities
  • Support A/B testing and experimentation initiatives
  • Build and maintain datasets

4. AI Conversation Design

  • Design and refine AI-driven customer interactions (e.g., WhatsApp, chatbots)
  • Analyze conversation data to improve engagement, activation, and retention
  • Work with LLM-based systems to structure prompts, flows, and guardrails


Requirements

Required Skills

  • Presentation & Communication
    • Strong PowerPoint design and storytelling ability
  • Product & Design
    • Basic UX/UI design understanding (wireframing, user flows)

Preferred Skills

  • Web Development
    • Experience with Webflow or similar CMS platforms
  • Data & Analytics
    • Proficiency in Excel (including Power Query)
    • Ability to interpret and communicate data insights clearly
  • AI / Automation (Optional but Valuable)
    • Exposure to AI tools, chatbots, or prompt design
    • Interest in LLM-driven product experiences


Benefits
  • Hands-on experience in AI product development and growth strategy
  • Exposure to real-world product analytics and experimentation frameworks
  • Opportunity to work on live product systems with measurable impact
  • Cross-functional experience across product, engineering, and GTM 
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