AI Product Manager Intern

placeToa Payoh scheduleFull-time calendar_month 

Company

EPOS Pte Ltd

epos.com.sg

Designation

AI Product Manager Intern

Date Listed

26 Mar 2026

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

Immediate Start, For At Least 3 Months

Profession

IT / Information Technology

Industry

Computer and IT

Location Name

Tiong Bahru Road, Redhill MRT Station (EW18), Singapore

Address

920 Tiong Bahru Rd, Singapore 158792

Map

Allowance / Remuneration

$800 - 1,500 monthly

Company Profile

About EPOS

Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions), EPOS is a leading Point-of-Sale (POS) digital solutions provider.

Supporting Ant International's mission to empower SMEs, EPOS serves as the central hub of its global merchant payment services provider, Antom, delivering integrated O2O digital, payment, and banking solutions to SMEs worldwide—empowering Every Point Of Success in their business growth.

With a growing presence across Southeast Asia, we’re looking for passionate individuals to join our diverse and driven teams. Be part of our journey as we expand to create meaningful, impactful changes for businesses around the world.

Job Description

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 Responsibilities
  1. 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
  1. AI Conversation Design & Evaluation
  • 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
  1. Experimentation & Execution
  • 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
  1. Prompt Engineering & LLM Optimization
  • 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
  1. Reporting & Stakeholder Communication
  • Prepare clear, structured performance reports and presentations for management
  • Translate data into actionable product recommendations
  • Support weekly reviews and experiment readouts
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)

Application Instructions

Please apply for this position by submitting your text CV using InternSG.

Kindly note that only shortlisted candidates will be notified.

Apply for this position

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