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HSI

AI Product Manager

HSI

AI Product Manager responsible for strategy and execution of customer-facing AI solutions. Collaborating with engineering and data teams to integrate AI technologies in product development.

Posted 6/20/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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
  • 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
  • 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
  • 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

Benefits

Comp & perks
  • Fully Remote Work: Work where you're most productive—we trust you.
  • Unlimited PTO: Recharge when you need to—we support work-life balance.
  • Career Growth: Unlimited access to our Learning & Development library, including our own HSI LMS content.
  • Well-Being First: Full medical, dental, vision, and mental health coverage.
  • Secure Your Future: Generous $1:$1 401(k) company match—your future is important to us.

ATS Keywords

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Hard Skills & Tools
product managementAI/ML product developmentLLMsprompt designRAGAI agent workflowsAI system performance metricsagile developmentuser researchdata analysis
Soft Skills
analytical skillsdata-driven decision-makingcommunication skillscross-functional leadershipability to translate technical conceptscustomer feedback synthesisteam collaborationproblem-solvingadaptabilitycreativity