Product Manager- AI Native Automation and Agentic System

Role Overview: You are a forward-thinking Product Manager with expertise in AI-native product development, automation, agentic workflows, and self-improving systems. Your main focus will be on owning the vision for AI-powered, autonomous decision-making features across HVAC, energy optimization, and IoT platforms. You will work at the intersection of GenAI, IoT, and intelligent automation, driving end-to-end product ownership from ideation to AI-first experience design, deployment, and delivery. Your responsibilities will include focusing on customer benefits through customer-first product innovation, feature adoption, activation rates, and time to value. Key Responsibilities: - Define the product vision and roadmap for agentic automation features and AI copilots within the IoT and analytics ecosystem. - Own the end-to-end product lifecycle from ideation, design, orchestration, delivery, and learning loops. - Continuously identify opportunities in the overall product to replace static workflows with self-improving AI-driven automation. - Work closely with AI/ML teams to integrate ML based models, LLMs, multimodal models, and context-aware agents into product experiences. - Design autonomous decision-making loops leveraging real-time IoT data, predictive ML models, and user feedback. - Ensure the AI stack balances cost, performance, explainability, and safety. - Define and track AI-specific KPIs to track improvements and feature success. - Collaborate with engineering, AI, IoT, and analytics teams to ship autonomous, intelligent features at speed. - Act as a thought partner to leadership, steering strategic bets in AI-native transformation. Qualification Required: - 4 to 7 years of product management experience in AI/ML, IoT, automation, or digital platforms. - Ability to leverage Gen AI, NN, or ML to improve the product experience and utility. - End-to-end ownership of AI-powered features. - Strong foundation in Agile, Scrum, and product development best practices. - Basic understanding of APIs, rising AI tools, and agent orchestration frameworks. - Exceptional communication skills to translate AI complexity into business outcomes. - Self-driven and opinionated PM with strong collaboration skills. - Familiarity with energy optimization workflows, IoT telemetry systems, and AI safety principles. - Hands-on familiarity with AI stacks like OpenAI, LangChain, Pinecone/Weaviate, etc. - Exposure to cloud-native environments (AWS, GCP, Azure) and event-driven architectures.,