# AI Product Manager I

> HSI · Frisco, United States (Remote) · Full-time · Posted 2026-04-16

**Salary:** USD 92,000–115,000

**Workplace:** remote

**Department:** 110340 WPS Product Mgmt

## 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

## Apply

[Apply at HSI](https://apply.workable.com/hsi-1/j/9FB6FD5DF5/apply)

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