Product Manager (Agentic AI) (Mumbai)

We are looking for an experienced Agentic AI Product Manager who can bridge product strategy, AI workflows, and hands-on prototyping. The ideal candidate has experience building and shipping AI-powered products, understands autonomous/agentic systems, and can independently prototype AI agents using frameworks such as LangGraph and LangChain with strong Python skills. This role requires a blend of product thinking, technical depth, experimentation mindset, and execution capability across AI workflows, LLM orchestration, and multi-agent systems. Key Responsibilities Product Strategy & Ownership - Define and execute product roadmap for AI-native and agentic AI products.- Translate business problems into AI-driven workflows and autonomous agent solutions.- Work closely with engineering, design, data, and leadership teams to prioritize features and deliver outcomes.- Identify opportunities for automation using LLMs, AI agents, RAG pipelines, and workflow Drive end-to-end product lifecycle from ideation to launch and iteration. Agentic AI Development - Design and prototype AI agents using LangGraph, LangChain, and contemporary LLM tooling.- Build multi-agent workflows with memory, tool calling, planning, reflection, and orchestration capabilities.- Develop proof-of-concepts and MVPs using Python.- Integrate LLM APIs, vector databases, retrieval systems, and external tools/services.- Experiment with prompt engineering, evaluation frameworks, and agent optimization techniques. Cross-Functional Collaboration - Partner with AI/ML engineers and architects to define scalable system design.- Collaborate with stakeholders to gather requirements and convert them into technical Drive agile ceremonies, sprint planning, and product Define success metrics, KPIs, and evaluation frameworks for AI agents. AI Product Execution - Monitor AI product performance, hallucination rates, latency, and reliability metrics.- Create user stories, PRDs, and technical Conduct competitive analysis on emerging AI products and agentic AI ecosystems.- Ensure responsible AI practices, security, and governance standards are followed. Experience - 47 years of experience in Product Management, AI Products, or Technical Product Management.- Experience working on AI/ML, Generative AI, or LLM-based products.- Proven experience building or prototyping AI agents/workflows. We are looking for an experienced Agentic AI Product Manager who can bridge product strategy, AI workflows, and hands-on prototyping. The ideal candidate has experience building and shipping AI-powered products, understands autonomous/agentic systems, and can independently prototype AI agents using frameworks such as LangGraph and LangChain with strong Python skills. This role requires a blend of product thinking, technical depth, experimentation mindset, and execution capability across AI workflows, LLM orchestration, and multi-agent systems. Key Responsibilities Product Strategy & Ownership - Define and execute product roadmap for AI-native and agentic AI products.- Translate business problems into AI-driven workflows and autonomous agent solutions.- Work closely with engineering, design, data, and leadership teams to prioritize features and deliver outcomes.- Identify opportunities for automation using LLMs, AI agents, RAG pipelines, and workflow Drive end-to-end product lifecycle from ideation to launch and iteration. Agentic AI Development - Design and prototype AI agents using LangGraph, LangChain, and contemporary LLM tooling.- Build multi-agent workflows with memory, tool calling, planning, reflection, and orchestration capabilities.- Develop proof-of-concepts and MVPs using Python.- Integrate LLM APIs, vector databases, retrieval systems, and external tools/services.- Experiment with prompt engineering, evaluation frameworks, and agent optimization techniques. Cross-Functional Collaboration - Partner with AI/ML engineers and architects to define scalable system design.- Collaborate with stakeholders to gather requirements and convert them into technical Drive agile ceremonies, sprint planning, and product Define success metrics, KPIs, and evaluation frameworks for AI agents. AI Product Execution - Monitor AI product performance, hallucination rates, latency, and reliability metrics.- Create user stories, PRDs, and technical Conduct competitive analysis on emerging AI products and agentic AI ecosystems.- Ensure responsible AI practices, security, and governance standards are followed. Experience - 47 years of experience in Product Management, AI Products, or Technical Product Management.- Experience working on AI/ML, Generative AI, or LLM-based products.- Proven experience building or prototyping AI agents/workflows.