About the company
Green Portfolio is a leading SEBI-registered Portfolio Management Services (PMS) firm specializing in research-driven investment solutions for HNIs, NRIs, family offices, and institutional investors. With 800+ crore in Assets Under Management (AUM) and over two decades of expertise in the Indian equity markets, we have built a strong reputation for disciplined investing, transparency, and long-term wealth creation. Who We Are Looking For This role is ideal for students and fresh graduates who: Have a strong foundation in analytical thinking, business fundamentals, and structured problem-solving. Enjoy understanding customer problems and translating them into product solutions. Use AI tools such as ChatGPT, Claude, Gemini, or similar tools for research, analysis, writing, and productivity. Are eager to learn modern product management practices and AI-driven workflows. Have a growth mindset and are excited to work on cutting-edge enterprise software.

Key Responsibilities
1. AI & Automation
• Explore and implement AI tools to automate existing business processes and workflows.
• Work with tools such as ChatGPT, Claude, Gemini and other Generative AI platforms.
• Identify opportunities to use AI for improving operational efficiency and reducing manual work.
• Assist in developing AI-powered workflows, chatbots and intelligent automation solutions.
• 2. Product Research & Development
• Understand business requirements and translate them into practical product or technology solutions.
• Research AI tools, emerging technologies and relevant industry applications.




• Assist in defining product features, documenting requirements and developing workflows.
• Work with technology teams to test, improve and implement new features and solutions. 3. Data Analysis & Business Insights
• Work with business data to identify patterns, trends and opportunities for improvement.
• Use Excel, SQL and AI tools for data analysis and reporting.
• Assist in preparing research, competitor analysis and business insights.
• Explore ways to use AI for data interpretation and decision-making. 4. Product Execution
• Participate in the development and testing of internal tools and technology solutions.
• Assist in identifying product gaps and suggesting improvements.
• Coordinate with cross-functional teams to take projects from ideation to execution.
• Test new workflows and document findings, improvements and outcomes. AI-Aware Product Thinking
• Learn how AI-powered applications and agent-based systems are designed and productized.
• Contribute to defining features and workflows that leverage AI/LLM capabilities.
• Gain exposure to enterprise-scale AI product design and automation platforms. Eligibility Criteria
• BE/B.
Tech ; Computer Science, IT, or Engineering background.
• Graduating in 2026.




• Solid understanding of business fundamentals, market analysis, and structured problem-solving frameworks.
• Basic understanding of software development concepts, APIs, and databases is a plus.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and a passion for learning new technologies.
• Demonstrated interest in AI-assisted product work through projects, case competitions, internships, or personal initiatives. Skills (Preferred)
• Strong fundamentals of product thinking, market sizing, and prioritization frameworks.
• Basic knowledge of product management tools (Jira, Notion, Figma, or similar).
• Understanding of REST APIs, SaaS, and web technologies at a conceptual level. F
• amiliarity with data analysis tools (Excel, SQL, or similar).
• Exposure to AI development tools, LLMs, or Agentic AI frameworks is a plus. P
• ersonal projects, case studies, internships, or hackathons are highly valued.
• Bonus Points If You Have Built or contributed to projects using AI tools, LLMs, Agentic AI frameworks, or GenAI APIs.
• Participated in case competitions, hackathons, or product challenges.
• Conducted user research or built a product prototype (even a simple one).
• Experience with product analytics tools (Mixpanel, Amplitude, or similar).
• Written product-related blogs, case studies, or shared technical/product content publicly.
• Demonstrated strong curiosity for AI-assisted product management and emerging technologies.

📌 AI-Driven Product Manager Intern (Gurugram)
🏢 Green Portfolio
📍 Gurugram