AI Product Manager Intern

EPOS; Singapore; On-site; SGD 22,320 - 33,480; Full time

Job summary

A technology company is seeking an AI Product Manager Intern in Singapore to design and analyze AI-driven product experiences. You will work on LLM-powered features such as conversational flows and contribute to data-driven decisions. Responsibilities include evaluating performance metrics, designing conversation workflows, and preparing structured reports. Candidates should possess a foundational understanding of LLMs, proficiency in data analytics tools, and familiarity with UX principles.

Qualifications

• Basic understanding of LLMs and prompt design.
• Familiarity with chatbot/conversational UX principles.
• Proficiency in Excel/Google Sheets (pivot tables, basic transformations).

Responsibilities

• Analyse product and user data to identify drop-offs and opportunities.
• Design conversation flows for AI assistants.
• Support A/B testing of AI flows and product changes.

Skills

Basic understanding of LLMs and prompt design

Familiarity with chatbot/conversational UX principles

Ability to evaluate AI outputs critically

Proficiency in Excel/Google Sheets

Tools

Python

SQL

R

PostHog

GA4

Job description

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 Responsibilities

• 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:
  • 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 analytics experience with structured and/or unstructured (conversational) data analysis
  • Tools: Python, SQL, R, PostHog, GA4, or similar analytics tools
  • Exposure to no‑code/low‑code tools: Zapier, n8n, Make.com or similar analytics tools
  • Basic familiarity with APIs or data flows
  • Ability to create clear PowerPoint/Slides presentations
  • Basic UX/UI understanding (user flows, wireframes)