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Job Description
- Writing endless PRDs
- Managing Jira tickets
- Taking stakeholder requirements
- Running status meetings
- Maintaining a roadmap because "that's how we've always done it"
- Why does this process exist?
- What problem are we actually solving?
- What would this look like if we built it from scratch today?
- What changes if AI is available as a fundamental capability?
- Own products from problem → insight → prototype → build → launch → iteration
- Understand students, learners, faculty, academic teams and other users deeply
- Turn ambiguous problems into simple product experiences
- Work closely with engineering, design, business and AI teams
- Create user journeys, wireframes and prototypes
- Use AI tools extensively for research, analysis, prototyping and product development
- Identify where AI, agents and automation can fundamentally change a workflow
- Define metrics and use data + user feedback to continuously improve the product
- Challenge assumptions including our own
- Decide not only what to build, but also what NOT to build
- You don't have to be an ML engineer.
- But you should be AI-native.
- You should be comfortable experimenting with LLMs, AI agents, AI prototyping/coding tools and emerging technology and understand enough about them to recognise what is genuinely useful versus what is just hype.
- You should have strong product and design instincts.
- You don't need to be a UI designer.
- But you should notice when an experience is confusing, cluttered or unnecessarily complicated.
- You should be able to sketch an idea, build a prototype, put it in front of users and learn.
- 3–7 years of product-building experience
- Shipped 0→1 or significantly transformed existing products
- Strong UX/product design sensibility
- Worked closely with engineering and design
- Built or shipped AI-enabled products
- High ownership and comfort with ambiguity
- Strong analytical and communication skills
- A genuine curiosity about how technology changes human behaviour
- You will have meaningful ownership and the opportunity to shape how a modern university approaches product, technology, AI and the learner experience.
- If you're someone who would rather build the prototype than write a 20-page document explaining why we should build it, we'd like to hear from you.
- Apply with your CV + 2-3 products you've worked on that you're genuinely proud of.
- Bonus points if you can tell us what you would have done differently today.
- 600+ enterprise partners across 30+ sectors, including Hyundai, Mahindra, MRF, Daikin, IHG Hotels and the Indian Navy; 650,000+ learners reached across India
- Its own skills university, Medhavi Skills University, with close to 2,000 students on campus
- WISE (Work Integrated Skill-based Higher Education) is Medhavi’s flagship initiative, built on the principle of “Industry on Campus”, combining academic learning with structured on-the-job training.
- Through partnerships with 300+ leading organisations across 26+ sectors, including Hyundai, Mahindra, IHG Group, Marriott, ITC and Tata Electronics, WISE builds industry-aligned talent pipelines.
- WISE enables students to graduate with real work experience and industry-ready skills, enhancing employability, workforce productivity, and bridging the industry skill gap.
Skills
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