AI Product Manager I
HSI • Frisco, Texas, United States
No Relocation
Posted: April 16, 2026
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
- 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
Additional Content
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
- 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