EPOS
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AI Product Manager Intern
Singapore, SGContractPosted Mar 26, 2026
Job description
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
- 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
- Digital Marketing Enablement Assist in marketing workflow redesign through use of automation and AI Build product and integrate solutions to supporting marketing efforts
- 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
- 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
Description copied from EPOS's careers page. Read the full posting before you apply.
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