AI Product Manager Intern at EPOS

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ai Product Management, Llm, Prompt Design, Conversational Ux, Data Analysis, A/B Testing, Experimentation, Prompt Engineering, Guardrails, Excel, Google Sheets, Python, Sql, R, Ux/Ui, Powerpoint

Industry

Financial Services

Description

Role Overview We are looking for an AI Product Manager Intern to support the design, analysis, and optimisation of AI-driven product experiences. You will work on LLM-powered features (e.g., conversational flows, automated follow-ups, internal copilots) and contribute to data-driven product decisions. This role blends product thinking, analytics, and hands-on work with AI systems. Key Responsibilities1) Product Analytics & Performance Analyse product and user data to identify drop-offs, trends, and opportunities Define and track key metrics (activation, conversion, retention, task success) Build simple dashboards/reports to monitor product performance 2) AI Conversation Design & Evaluation Design conversation flows for AI assistants (e.g., onboarding, support, follow-ups) Evaluate conversations using metrics such as response accuracy, resolution rate, and user engagement Iterate on flows based on observed user behaviour and edge cases 3) Experimentation & Execution Support A/B testing of AI flows, messaging, and product changes Document hypotheses, experiment design, and results Work with engineers/designers to implement and iterate quickly 4) Prompt Engineering & LLM Optimization Develop and refine prompts for specific use cases (e.g., sales follow-ups, support responses) Implement guardrails (tone, scope control, fallback handling) Test prompt variations and document performance differences 5) Reporting & Stakeholder Communication Prepare clear, structured performance reports and presentations for management Translate data into actionable product recommendations Support weekly reviews and experiment readouts Required Skills AI / Product (Important) Basic understanding of LLMs and prompt design Familiarity with chatbot / conversational UX principles Ability to evaluate AI outputs critically (accuracy, tone, relevance) Proficiency in Excel / Google Sheets (pivot tables, basic transformations) Preferred SkillsData Analysis Data analytics experience with structured and/or unstructured (conversational) data analysis Tools: Python, SQL, R, PostHog, GA4, or similar analytics tools AI Automation Exposure Exposure to no-code/low-code tools: Zapier, n8n, make.com or similar analytics tools Basic familiarity with APIs or data flows Design & Communication Ability to create clear PowerPoint/Slides presentations Basic UX/UI understanding (user flows, wireframes)

Responsibilities

The intern will support the design, analysis, and optimization of AI-driven product experiences, focusing on LLM-powered features like conversational flows and internal copilots. Key duties include analyzing product data, designing AI conversations, supporting A/B testing, refining prompts, and communicating performance reports.