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About the role
Technical Ai Product Manager (Agentic Ai) 5+ Years Experince - Product Strategy & Roadmap: Own the end-to-end product lifecycle for AI-native and agentic products. - Translate complex operational problems into AI-driven workflows and autonomous agent solutions. - Agentic AI Architecture: Prototyping multi-agent workflows using LangGraph, LangChain, and contemporary LLM tooling. - Build systems featuring tool calling, structured memory, planning, and reflection capabilities. - Hands-on Development: Develop proof-of-concepts (PoCs) and MVPs using Python. - Integrate LLM APIs, vector databases, retrieval systems, and custom prompt engineering techniques. - Agile Execution: Convert stakeholder requirements into technical specifications, user stories, and high-quality PRDs. - Lead sprint planning and agile ceremonies with backend and AI/ML teams. - Performance & Metrics: Define and monitor AI-specific KPIs, including token latency, system reliability, contextual accuracy, and hallucination rates. Required Skills & Qualifications - Experience: 4+ Years in Product Management or Technical Product Management (TPM). - Domain Expertise: Proven track record of shipping AI/ML, Generative AI, or LLM-based applications. Technical Skills: - Hands-on experience prototyping or designing AI agents/workflows. - Strong programming literacy in Python to interface with data science frameworks. - Education: B.Tech/M.Tech in Computer Science or a related technical discipline from a reputed institute. What We Offer - Absolute ownership of the core agentic roadmap in a high-growth AI startup. - A collaborative, high-velocity workspace with zero corporate bureaucracy. - Competitive compensation packages and performance-driven trajectory. Technical Ai Product Manager (Agentic Ai) 5+ Years Experince - Product Strategy & Roadmap: Own the end-to-end product lifecycle for AI-native and agentic products. - Translate complex operational problems into AI-driven workflows and autonomous agent solutions. - Agentic AI Architecture: Prototyping multi-agent workflows using LangGraph, LangChain, and contemporary LLM tooling. - Build systems featuring tool calling, structured memory, planning, and reflection capabilities. - Hands-on Development: Develop proof-of-concepts (PoCs) and MVPs using Python. - Integrate LLM APIs, vector databases, retrieval systems, and custom prompt engineering techniques. - Agile Execution: Convert stakeholder requirements into technical specifications, user stories, and high-quality PRDs. - Lead sprint planning and agile ceremonies with backend and AI/ML teams. - Performance & Metrics: Define and monitor AI-specific KPIs, including token latency, system reliability, contextual accuracy, and hallucination rates. Required Skills & Qualifications - Experience: 4+ Years in Product Management or Technical Product Management (TPM). - Domain Expertise: Proven track record of shipping AI/ML, Generative AI, or LLM-based applications. Technical Skills: - Hands-on experience prototyping or designing AI agents/workflows. - Strong programming literacy in Python to interface with data science frameworks. - Education: B.Tech/M.Tech in Computer Science or a related technical discipline from a reputed institute. What We Offer - Absolute ownership of the core agentic roadmap in a high-growth AI startup. - A collaborative, high-velocity workspace with zero corporate bureaucracy. - Competitive compensation packages and performance-driven trajectory.