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About the role
As a Gen AI Product Manager / Lead Product Manager for AI & LLM Platforms, your role involves leading the development and scaling of enterprise Generative AI platforms and intelligent automation solutions for a large global organization. You will be responsible for owning AI products from concept to production, identifying use cases, validating them through rapid experimentation, and operationalizing them into scalable enterprise platforms used across multiple business functions. Collaboration with engineering, data science, IT, security, and business leadership is essential to deliver production-grade AI solutions that enhance decision-making, operational efficiency, and user experience. Key Responsibilities: - Define product vision, roadmap, and priorities for GenAI platforms and AI-driven solutions - Identify and validate high-value use cases through rapid POCs and pilots - Build business cases with clear ROI, such as efficiency gains, cost savings, and adoption metrics - Drive product lifecycle from discovery to development, launch, adoption, and iteration - Lead development of AI assistants, chatbots, knowledge systems, and AI-powered analytics platforms - Design and scale RAG-based solutions and conversational AI products - Operationalize LLM-based applications into enterprise production environments - Integrate AI solutions into existing enterprise platforms and workflows - Partner with engineering and data science teams to translate requirements into deployable products - Define KPIs including adoption, accuracy, efficiency, and business value - Ensure security, scalability, governance, and compliance in AI deployments - Manage Agile delivery by prioritizing backlogs, planning sprints, and executing releases - Collaborate with cross-functional stakeholders across business, operations, IT, and data teams - Present progress and product outcomes to senior leadership - Drive enterprise adoption through training, communication, and change management Required Skills & Experience: - 6-14 years overall experience with 4-5+ years in Product Management / Technical Product Ownership - Experience building and scaling digital or platform products in enterprise environments - Hands-on exposure to Generative AI solutions - Technical expertise in LLMs, GenAI, RAG architectures, conversational AI, LangChain, Vector databases, API integrations, cloud platforms, enterprise data pipelines, and data architecture - Proficiency in Agile/Scrum product ownership, roadmap planning, backlog prioritization, KPI tracking, and cross-functional collaboration - Experience in taking products from POC/pilot to enterprise-scale adoption and exposure to enterprise applications What We Are Looking For: - Strong technical product thinking - Ability to collaborate with engineers and data scientists - Business-first mindset with measurable value creation - Comfort operating in ambiguity and building new platforms By joining this role, you will have the opportunity to work on real production AI systems, gain high visibility working with senior leadership, make a direct impact on enterprise-wide digital transformation initiatives, and have ownership and scale across global users. As a Gen AI Product Manager / Lead Product Manager for AI & LLM Platforms, your role involves leading the development and scaling of enterprise Generative AI platforms and intelligent automation solutions for a large global organization. You will be responsible for owning AI products from concept to production, identifying use cases, validating them through rapid experimentation, and operationalizing them into scalable enterprise platforms used across multiple business functions. Collaboration with engineering, data science, IT, security, and business leadership is essential to deliver production-grade AI solutions that enhance decision-making, operational efficiency, and user experience. Key Responsibilities: - Define product vision, roadmap, and priorities for GenAI platforms and AI-driven solutions - Identify and validate high-value use cases through rapid POCs and pilots - Build business cases with clear ROI, such as efficiency gains, cost savings, and adoption metrics - Drive product lifecycle from discovery to development, launch, adoption, and iteration - Lead development of AI assistants, chatbots, knowledge systems, and AI-powered analytics platforms - Design and scale RAG-based solutions and conversational AI products - Operationalize LLM-based applications into enterprise production environments - Integrate AI solutions into existing enterprise platforms and workflows - Partner with engineering and data science teams to translate requirements into deployable products - Define KPIs including adoption, accuracy, efficiency, and business value - Ensure security, scalability, governance, and compliance in AI deployments - Manage Agile delivery by prioritizing backlogs, planning sprints, and executing releases - Collaborate with cross
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