AI PRODUCT MANAGER INTERN

About the program About EduRankAI EduRankAI is developing nextgeneration technologies in Artificial Intelligence, Education Technology, Research, Product Engineering, and Digital Innovation. The AI Product Manager Internship is designed for individuals passionate about Artificial Intelligence and product innovation. This internship provides handson exposure to building AIpowered products by combining product strategy, machine learning, user experience, business objectives, and engineering execution. Interns will work closely with AI Engineers, Machine Learning Researchers, Data Scientists, Software Engineers, Product Managers, UX Designers, and Executive Leadership to define, develop, launch, and continuously improve intelligent products across the EduRankAI ecosystem. Roles and Responsibilities Assist in defining product vision and strategy for AIpowered products. Identify user problems and translate them into AIdriven product opportunities. Collaborate with AI Engineers and Data Scientists to understand model capabilities and limitations. Prepare AI Product Requirement Documents AIPRDs, user stories, workflows, and acceptance criteria. Participate in AI product discovery, feature prioritization, and roadmap planning. Coordinate with Engineering, Design, QA, Marketing, and Business teams during the product lifecycle. Analyze AI model performance, product metrics, and user feedback to improve product quality. Conduct market research on emerging AI technologies, competitors, and industry trends. Assist in defining responsible AI practices, ethical AI considerations, and model evaluation frameworks. Support AI product launches, user adoption strategies, and continuous product improvement. Maintain documentation for AI features, product releases, and technical decisions. Learning Outcomes Interns will gain practical exposure to: AI Product Management Product Strategy Machine Learning Fundamentals Generative AI Products Large Language Models LLMs AI Product Lifecycle AI Ethics Responsible AI User Research Product Analytics Agile Product Development AI Model Evaluation Crossfunctional Product Leadership Eligibility Students pursuing undergraduate or postgraduate programs from any discipline are encouraged to apply. Students from the following disciplines are especially encouraged: Artificial Intelligence Machine Learning Data Science Computer Science Engineering Information Technology Software Engineering Business Administration Product Management Electronics Engineering Mathematics Statistics Any Relevant Discipline Knowledge of Artificial Intelligence, Machine Learning, Python, SQL, Prompt Engineering, APIs, Data Analytics, Agile methodologies, Jira, Notion, Figma, or cloudbased AI platforms will be an added advantage but is not mandatory. AI Product Management Qualification Type UG PG Qualification Any Bachelor's Degree Any Master's Degree Diploma Integrated Degree Select Specialisation Artificial Intelligence Machine Learning Data Science Computer Science Engineering Information Technology Software Engineering Business Administration Product Management Electronics Engineering Mathematics Statistics Any Relevant Discipline Perks Internship Certificate Letter of Recommendation (Performance Based) Mentorship from AI Product Managers, AI Researchers, and Executive Leadership Opportunity to Work on Live AI, Generative AI, LLM, and Intelligent Product Development Projects Exposure to AI Product Strategy, Responsible AI, Product Analytics, and Emerging AI Technologies Skill Development Workshops Portfolio and AI Product Case Study Development Opportunities Outstanding performers may be considered for extended internships, AI Product Management roles, leadership opportunities, or future full-time positions based on organizational requirements. Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement Internship Type: Full-Time Duration: 3 Months Working Days: 6 Days per Week Total Engagement: Approximately 40 Hours per Week (?480 Hours over 12 weeks) Project Work / Departmental Responsibilities: Approximately 5 Hours Per Day Holistic Well-being & Personal Development: Approximately 1 Hour 40 Minutes (1.67 Hours) Per Day, including physical fitness, mindfulness, reading, reflective learning, leadership development, community engagement, and other approved personal development activities. Interns are expected to maintain professionalism, ownership, confidentiality, ethical conduct, and timely completion of assigned responsibilities. Weekly mentor reviews and AI product evaluations will be conducted. Compliance with organizational policies, intellectual property guidelines, responsible AI principles, confidentiality requirements, and ethical standards is mandatory. Internship Certificate will be awarded upon successful completion of internship requirements. Internship does not constitute an offer of employment. Number of openings 10