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AI Product Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: HSI
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Evaluation, Product Engineer, Product Designer
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: AI Product Manager I

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
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