AI-Driven Product Manager Intern

Green Portfolio

Gurugram, Haryana, IndiaFresher3h agovia LinkedIn

This job at a glance

Who can apply
Freshers · B.Tech / B.E.
Nice to have
Product managementLLMsData analysisSQL
Work
On-site in Gurugram · internship
Pay
Not stated by the employer.
Skill demand
Product management77%LLMs26%SQL12%Data analysis7%of 99 similar fresher jobs posted in India this week
Listed
12 Nov 2026 · still open

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About the Role

This internship is ideal for students and fresh graduates eager to learn modern product management practices and AI-driven workflows, and who enjoy understanding customer problems and translating them into product solutions.

Key Responsibilities

  • 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.

  • 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.

  • 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.

  • 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.

Requirements & Tech Stack

  • BE/B.Tech in Computer Science, IT, or an Engineering background.

  • Graduating in 2026.

  • Strong understanding of business fundamentals, market analysis, and structured problem-solving frameworks.

  • 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.

  • Basic understanding of software development concepts, APIs, and databases is a plus.

Skills (Preferred)

  • Strong fundamentals of product thinking, market sizing, and prioritization frameworks.
  • Familiarity with data analysis tools (Excel, SQL, or similar).
  • Exposure to AI development tools, LLMs, or Agentic AI frameworks is a plus.
  • Personal 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.
  • Demonstrated strong curiosity for AI-assisted product management and emerging technologies.
  • Basic knowledge of product management tools (Jira, Notion, Figma, or similar) is preferred.
  • Understanding of REST APIs, SaaS, and web technologies at a conceptual level is preferred.
  • Experience with product analytics tools (Mixpanel, Amplitude, or similar) is a plus.
  • Written product-related blogs, case studies, or shared technical/product content publicly is a plus.

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