AI Product Manager I
The AI Product Manager owns the strategy and execution of HSI’s customer-facing AI solutions, including the underlying Model Context Platform (MCP) and supporting AI services. This role is responsible for delivering intelligent, context-aware product experiences powered by LLMs, automation, and data. The ideal candidate combines strong product management fundamentals with a practical understanding of AI systems and an AI-native approach to how products are built, leveraging AI to accelerate everything from ideation to delivery and iteration. Key Responsibilities AI Product Strategy & Ownership Define and own the roadmap for a virtual assistant driven application interface, including conversational experiences, agent capabilities, and workflow automation Lead the evolution of HSI’s MCP, including context management, memory, orchestration, and service integrations Translate company strategy and customer needs into differentiated AI-driven product capabilities AI System Design & Delivery Partner with engineering and data teams to design AI-powered features leveraging LLMs, RAG, and agent-based systems Define product requirements including system behavior, prompts, guardrails, and evaluation criteria Drive execution through agile development cycles, maintaining a well-prioritized backlog of features and experiments Model Performance & Continuous Improvement Establish and monitor key AI performance metrics (e.g., accuracy, task success, latency, cost, hallucination rates) Lead experimentation efforts to improve model outputs, workflows, and user experience Partner with data teams to define feedback loops, data requirements, and opportunities for fine-tuning or optimization AI-Accelerated Product Management Leverage AI tools to accelerate core PM workflows, including requirements documentation, backlog refinement, and internal communications Rapidly prototype product concepts—especially conversational flows and AI interactions—to validate ideas early Use AI to synthesize customer feedback, support data, and usage patterns into actionable insights Continuously evaluate and adopt new AI tools to improve product development speed and decision-making Customer Insight & Cross-Functional Leadership Conduct user research and analyze customer workflows to identify high-impact AI opportunities Partner closely with engineering, UX, data science, and go-to-market teams to deliver cohesive solutions Serve as an internal advocate and subject matter expert for AI-driven product capabilities