Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

AI Product Manager Intern

EPOS
CompanyEPOS
CategoryData & Analytics
LocationSingapore
RemoteOn-site (inferred)
EmploymentContract
LevelManager
SalaryNot stated by the employer
Posted26 Mar 2026
Last verified3 Aug 2026
SourceEmployer ATS (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
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 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