AI Product Manager

Company Description Project Bhaskar is an Indian AI research and innovation lab focused on connecting centuries of reasoning, language, and creativity with cutting-edge artificial intelligence. The lab builds culturally aware AI systems that reflect the diversity, history, and lived experiences of people across India and beyond. Team members work at the intersection of deep research and practical product development, contributing to tools and platforms designed for broad, equitable access. Project Bhaskar values curiosity, rigorous thinking, and inclusive design, offering opportunities to shape how AI understands and serves different cultures.

Role Description The AI Product Manager will lead the end-to-end lifecycle of AI products, from discovery and ideation through requirements definition, development, launch, and continuous improvement. This full-time hybrid role is based in Ajmer, with flexibility for partial work from home. Day-to-day responsibilities include gathering and prioritizing user and stakeholder needs, defining product roadmaps, writing clear specifications, and collaborating closely with research, engineering, design, and operations teams. The AI Product Manager will translate complex AI capabilities into accessible, culturally aware features, monitor performance metrics, and iterate based on data and user feedback. The role also involves coordinating cross-functional communication, managing timelines and risks, and ensuring ethical and responsible AI practices are embedded in product decisions.

Qualifications

• Product management skills, including roadmap development, requirements gathering, and stakeholder alignment.
• Experience working with AI or machine learning products, with the ability to understand technical concepts and communicate them clearly.
• User research and product discovery skills, such as interviewing, synthesizing insights, and defining problem statements.
• Data literacy, including comfort with product analytics, experimentation, and using metrics to inform decisions.
• Strong communication and collaboration skills for working with cross-functional teams across research, engineering, and design.
• Awareness of cultural contexts and commitment to building inclusive, responsible, and ethical AI systems.
• Ability to work independently, manage multiple priorities, and thrive in a fast-paced, research-driven environment.
• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Engineering, Data Science, Product Management, Social Sciences), or equivalent practical experience.
• Prior experience in AI, technology, or research-focused organizations is an advantage.