AI Product Manager

About Vyapar: Vyapar is a business accounting software that simplifies the process of managing a business for millions of Indian MSMEs. The software allows users to create business transactions, share them with their customers, manage their inventory, keep track of their receivable / payable and manage end to end taxation. Vyapar is used by almost every type of businesses in India, be it retailers, distributors, wholesalers, manufacturers or service professionals. The horizontal approach towards building Vyapar allows every business to fit it into our use case and manage it efficiently. From a small garage service center to multi-outlet grocery store, Vyapar is built for and used by almost the entire breadth of business types in India. As far as numbers go, Vyapar has been installed by almost 1 crore businessmen across the country. Role Summary: To craft an intuitive, world-class user experience for the business community, we are looking for supercharged product manager who will help build new products and make the current product 10x better. Key Responsibilities: Define product vision, roadmap, and strategy for AI-powered features. Identify business problems and opportunities where AI can add value. Work with customers and internal teams to understand requirements and user needs. Create PRDs, user flows, and wireframes . Work closely with Engineering, Data Science, ML, and Design teams to build and launch AI features. Track product performance, user adoption, and key metrics. Define KPIs and success metrics for AI products. Continuously improve products based on customer feedback and data. Work with Sales and Support teams to drive product adoption. Desired Skills and Requirements: 3–5 years of AI Product Management experience , Experience working on AI/ML or GenAI products . Good understanding of LLMs, Generative AI, NLP, RAG, and AI/ML concepts . Strong analytical and problem-solving skills. Experience with PRDs, wireframing, product metrics, and experimentation . Strong product understanding and product sense. Excellent communication and stakeholder management skills. Ability to work closely with Engineering and Data Science teams. Strong ownership and execution skills.. Experience: Previous tech-product experience (preferably 2-4 years) Education: Engineering or Management degree (preferably from a top tier institute IITs, IIMs, NITs, BITS etc.)