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AI Product Manager Intern

EPOS · Singapore, SG

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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