AI Product Manager Intern
EPOS · Singapore, Singapore, Singapore · 2026-03-26
About this 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
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
Skills asked for
- go
- llm
- excel
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