EPOS
AI Product Manager Intern
EPOSSingapore12 hours ago
InternshipOther
Role Overview

We are looking for an AI Product Manager Intern to support the design, analysis, and optimisation of AI-driven product experiences. You will work on LLM-powered features (e.g., conversational flows, automated follow-ups, internal copilots) and contribute to data-driven product decisions.

This role blends product thinking, analytics, and hands-on work with AI systems.

Key Responsibilities2) AI Conversation Design & Evaluation3) Experimentation & Execution4) Prompt Engineering & LLM Optimization5) Reporting & Stakeholder Communication

  • Product Analytics & Performance
  • Analyse product and user data to identify drop-offs, trends, and opportunities
  • Define and track key metrics (activation, conversion, retention, task success)
  • Build simple dashboards/reports to monitor product performance
  • Design conversation flows for AI assistants (e.g., onboarding, support, follow-ups)
  • Evaluate conversations using metrics such as response accuracy, resolution rate, and user engagement
  • Iterate on flows based on observed user behaviour and edge cases
  • Support A/B testing of AI flows, messaging, and product changes
  • Document hypotheses, experiment design, and results
  • Work with engineers/designers to implement and iterate quickly
  • Develop and refine prompts for specific use cases (e.g., sales follow-ups, support responses)
  • Implement guardrails (tone, scope control, fallback handling)
  • Test prompt variations and document performance differences
  • Prepare clear, structured performance reports and presentations for management
  • Translate data into actionable product recommendations
  • Support weekly reviews and experiment readouts

Requirements

Required Skills

  • AI / Product (Important)
    • Basic understanding of LLMs and prompt design
    • Familiarity with chatbot / conversational UX principles
    • Ability to evaluate AI outputs critically (accuracy, tone, relevance)
  • Proficiency in Excel / Google Sheets (pivot tables, basic transformations)
Preferred Skills

Data Analysis

  • Data analytics experience with structured and/or unstructured (conversational) data analysis
  • Tools: Python, SQL, R, PostHog, GA4, or similar analytics tools

AI Automation Exposure

  • Exposure to no-code/low-code tools: Zapier, n8n, make.com or similar analytics tools
  • Basic familiarity with APIs or data flows

Design & Communication

  • Ability to create clear PowerPoint/Slides presentations
  • Basic UX/UI understanding (user flows, wireframes)

Key Skills

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