About Amber
Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M+ students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the largest and fastest-growing student housing platform globally, with 1M+ units listed in 6 countries and across 100+ cities. We are growing rapidly and targeting $1.2B in annual gross bookings value by 2023. If you are passionate about making international mobility and living seamless and accessible, then - Join us in building the future of student Housing! (We are amongst the fastest growing companies in the Asia Pacific as per Financial Times https://ft.com/high-growth-asia-pacific-ranking-2022)
About the Role
We are looking for a highly motivated AI + Product Management Intern who is passionate about building AI-powered products and solving real-world business problems. This role sits at the intersection of Artificial Intelligence, Product Strategy, and Business Innovation, offering the opportunity to work directly with founders, product leaders, and engineering teams to identify opportunities, build AI-driven solutions, and shape 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.
Key Responsibilities
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Work closely with founders, product, engineering, and business teams to identify AI-driven opportunities across product, operations, marketing, and finance.
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Conduct strategic experiments, validate hypotheses, and monitor outcomes to drive product and business decisions.
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Independently build MVPs and prototypes to test product ideas and AI-powered solutions.
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Prototype, test, and deploy AI/ML solutions to automate workflows, optimize processes, and enhance decision-making.
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Research, evaluate, and implement state-of-the-art AI technologies, including LLMs, NLP, Computer Vision, and Predictive Analytics.
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Build internal AI tools and automation systems to improve productivity across departments.
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Collaborate with engineering teams to integrate AI models into production systems.
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Contribute to product strategy, roadmap planning, and the overall product lifecycle.
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Perform market research, customer analysis, and competitive benchmarking to identify product opportunities.
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Translate business problems into scalable AI-powered product solutions.
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Collaborate with cross-functional stakeholders while operating with ownership and initiative.
Who We're Looking
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For Students from Tier-1 engineering institutions (IITs, NITs, BITS, IIITs, or equivalent premier institutes) preferred.
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Pursuing or recently completed B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or a related discipline.
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Prior experience through projects, research, or internships in AI/ML, Product Management, Technical Program Management, or product-focused technical roles is a plus.
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Strong product mindset with an understanding of how user needs and business metrics influence product decisions.
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Ability to think analytically and use data to drive strategic decision-making.
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High ownership, initiative, and the ability to thrive in a fast-paced startup environment.
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Curious, adaptable, and eager to learn emerging technologies and business concepts.
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Passionate about building products that create measurable real-world impact.
Technical Skills
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Strong proficiency in Python.
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Exposure with TensorFlow, PyTorch, OpenAI APIs, Hugging Face, LangChain, or similar AI frameworks.
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Exposure building AI-powered applications, APIs, or automation workflows.
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Solid understanding of data structures, algorithms, and AI/ML fundamentals.
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Familiarity with LLMs, NLP, prompt engineering, RAG, AI agents, or workflow automation is a plus.
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Basic understanding of product development methodologies and experimentation frameworks.
What You'll Gain
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Hands-on experience building AI-first products from ideation to deployment.
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Exposure to product strategy, roadmap planning, and business decision-making.
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Opportunity to work directly with founders and leadership on high-impact initiatives.
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Ownership of meaningful projects with measurable business outcomes.
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A collaborative, open, and inclusive work environment.
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Potential for a full-time offer based on internship performance.
