AI Product Management Intern

About the Company

Amber is a leading global student housing platform, connecting over 80 million students worldwide with full-time accommodation near their universities. With over 1M+ student housing units listed across 10 countries and 80+ cities, Amber is rapidly growing, aiming for $1B in annual gross bookings. Backed by $18.5M in funding from marquee investors like Gaja Capital, we are building the future of student living and aim to make international mobility seamless and accessible.

About the Role

We are seeking a highly motivated AI + Product Management Intern passionate about building AI-powered products and solving real-world business problems. This role is at the intersection of Artificial Intelligence, Product Strategy, and Business Innovation, offering the unique opportunity to work directly with founders, product leaders, and engineering teams. You will identify opportunities, build AI-driven solutions, and shape critical product decisions. If you enjoy experimenting with cutting-edge AI technologies while thinking strategically about product growth and customer impact, this role is for you.

Responsibilities

• Collaborate with founders, product, engineering, and business teams to identify AI-driven opportunities across product, operations, marketing, and finance.
• Conduct strategic experiments, validate hypotheses, and monitor outcomes to inform product and business decisions.
• Independently build MVPs and prototypes to test product ideas and AI-powered solutions.
• Prototype, test, and deploy AI/ML solutions to automate workflows, optimize processes, and enhance decision-making.
• Research, evaluate, and implement state-of-the-art AI technologies, including LLMs, NLP, Computer Vision, and Predictive Analytics.
• Develop internal AI tools and automation systems to improve productivity across departments.
• Collaborate with engineering teams to integrate AI models into production systems.
• Contribute to product strategy, roadmap planning, and the overall product lifecycle.
• Perform market research, customer analysis, and competitive benchmarking to identify product opportunities.
• Translate business problems into scalable AI-powered product solutions.
• Collaborate with cross-functional stakeholders while operating with ownership and initiative.

Requirements

• Education & Experience:
  • Students from Tier-1 engineering institutions (IITs, NITs, BITS, IIITs, or equivalent premier institutes) preferred.
  • Pursuing or recently completed B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or a related discipline.
  • Prior experience through projects, research, or internships in AI/ML, Product Management, Technical Program Management, or product-focused technical roles is a plus.
• Product & Analytical Skills:
  • Strong product mindset with an understanding of how user needs and business metrics influence product decisions.
  • Ability to think analytically and use data to drive strategic decision-making.
  • High ownership, initiative, and the ability to thrive in a fast-paced startup environment.
  • Curious, adaptable, and eager to learn emerging technologies and business concepts.
  • Passionate about building products that create measurable real-world impact.
• Technical Skills:
  • Strong proficiency in Python.
  • Exposure to TensorFlow, PyTorch, OpenAI APIs, Hugging Face, LangChain, or similar AI frameworks.
  • Exposure building AI-powered applications, APIs, or automation workflows.
  • Solid understanding of data structures, algorithms, and AI/ML fundamentals.
  • Familiarity with LLMs, NLP, prompt engineering, RAG, AI agents, or workflow automation is a plus.
  • Basic understanding of product development methodologies and experimentation frameworks.

What You'll Gain

• Hands-on experience building AI-first products from ideation to deployment.
• Exposure to product strategy, roadmap planning, and business decision-making.
• Opportunity to work directly with founders and leadership on high-impact initiatives.
• Ownership of meaningful projects with measurable business outcomes.
• A collaborative, open, and inclusive work environment.
• Potential for a full-time offer based on internship performance.