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HSI Linkedin · Posted 1mo ago

AI Product Manager I

Frisco, Texas, United States

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Indexed 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
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