Job Description

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

Requirements

• Bachelor’s degree in a related field; technical disciplines preferred
• 3–6+ years of product management experience in SaaS or platform products
• Experience building or managing AI/ML-powered products

AI & Technical Expertise

• Strong understanding of LLMs, prompt design, RAG, and AI agent workflows
• Familiarity with modern AI ecosystems (e.g., OpenAI, Anthropic, vector databases, orchestration frameworks)
• Experience defining and improving AI system performance through metrics and evaluation

AI-Native Ways of Working

• Hands-on experience using AI tools (e.g., ChatGPT, Claude, Copilot) to:
• Generate and refine product requirements
• Prototype product experiences and workflows
• Analyze customer feedback and product data
• Demonstrated ability to increase speed and effectiveness by integrating AI into daily workflows

Core Product Skills

• Strong analytical and data-driven decision-making capabilities
• Ability to translate complex technical concepts into clear, actionable product direction
• Excellent communication and cross-functional leadership skills

Preferred

• Experience building conversational interfaces or virtual assistants
• Familiarity with human-in-the-loop systems, AI safety, or guardrails
• Experience with Agile development methodologies

Success in This Role

• Measurable customer value and adoption
• AI features are high quality, reliable, and continuously improving
• MCP evolves into a scalable and differentiated platform capability
• Product development velocity and insight generation are significantly enhanced through effective use of AI