- Location
- Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia · published
- Type
- Internship
- Department
- IT
- Seniority
- Internship
- Source
- Workable
Description
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 headquartered in Singapore. Supporting and empowering Every Point Of Success, we help SMEs grow digitally with confidence through our innovative POS solutions and business tools.
With a growing presence across Southeast Asia, we are looking for passionate individuals to join our diverse and driven team in Malaysia. Be part of our exciting journey as we continue expanding and creating meaningful, impactful changes for businesses across the region.
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