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