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 Responsibilities2. Digital Marketing Enablement3. Data Analysis & Experimentation4. AI Conversation Design

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
Assist in marketing workflow redesign through use of automation and AI
Build product and integrate solutions to supporting marketing efforts
Analyze product and user data to identify drop-offs, trends, and growth opportunities
Support A/B testing and experimentation initiatives
Build and maintain datasets
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

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