AI Product Manager

Position: 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 delivers intelligent, context-aware product experiences powered by LLMs, automation, and data. You bring strong product fundamentals, a practical understanding of AI systems, and an AI-native approach to building products-leveraging AI to accelerate ideation, delivery, and iteration.

Key Responsibilities

* 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

* 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

* Establish and monitor AI performance metrics (e.g., accuracy, task success, latency, cost, hallucination rates)

* Lead experimentation 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

* Use AI tools to accelerate core PM workflows, including requirements documentation, backlog refinement, and internal communications

* Rapidly prototype conversational flows and AI interactions to validate ideas early

* 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

* 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

What Success Looks Like

* Measurable customer value and adoption

* High-quality, reliable AI features that continuously improve

* MCP evolves into a scalable, differentiated platform capability

* Increased product development velocity and insight generation through effective use of AI