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AI Product Manager Intern

EPOS · Singapore

Business StrategyEntry LevelQuick applyinternship11 days ago

About The Role

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
  1. Digital Marketing Enablement
  • Assist in marketing workflow redesign through use of automation and AI
  • Build product and integrate solutions to supporting marketing efforts
  1. 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
  1. 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

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
  • 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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