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about 2 months ago
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Requirements and responsibilities
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 ResponsibilitiesAI Product Strategy & OwnershipDefine and own the roadmap for a virtual assistant driven application interface, including conversational experiences, agent capabilities, and workflow automationLead the evolution of HSI’s MCP, including context management, memory, orchestration, and service integrationsTranslate company strategy and customer needs into differentiated AI-driven product capabilitiesAI System Design & DeliveryPartner with engineering and data teams to design AI-powered features leveraging LLMs, RAG, and agent-based systemsDefine product requirements including system behavior, prompts, guardrails, and evaluation criteriaDrive execution through agile development cycles, maintaining a well-prioritized backlog of features and experimentsModel Performance & Continuous ImprovementEstablish 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 experiencePartner with data teams to define feedback loops, data requirements, and opportunities for fine-tuning or optimizationAI-Accelerated Product ManagementLeverage AI tools to accelerate core PM workflows, including requirements documentation, backlog refinement, and internal communicationsRapidly prototype product concepts—especially conversational flows and AI interactions—to validate ideas earlyUse AI to synthesize customer feedback, support data, and usage patterns into actionable insightsContinuously evaluate and adopt new AI tools to improve product development speed and decision-makingCustomer Insight & Cross-Functional LeadershipConduct user research and analyze customer workflows to identify high-impact AI opportunitiesPartner closely with engineering, UX, data science, and go-to-market teams to deliver cohesive solutionsServe as an internal advocate and subject matter expert for AI-driven product capabilitiesRequirementsBachelor’s degree in a related field; technical disciplines preferred3–6+ years of product management experience in SaaS or platform productsExperience building or managing AI/ML-powered productsAI & Technical ExpertiseStrong understanding of LLMs, prompt design, RAG, and AI agent workflowsFamiliarity with modern AI ecosystems (e.g., OpenAI, Anthropic, vector databases, orchestration frameworks)Experience defining and improving AI system performance through metrics and evaluationAI-Native Ways of WorkingHands-on experience using AI tools (e.g., ChatGPT, Claude, Copilot) to:Generate and refine product requirementsPrototype product experiences and workflowsAnalyze customer feedback and product dataDemonstrated ability to increase speed and effectiveness by integrating AI into daily workflowsCore Product SkillsStrong analytical and data-driven decision-making capabilitiesAbility to translate complex technical concepts into clear, actionable product directionExcellent communication and cross-functional leadership skillsPreferredExperience building conversational interfaces or virtual assistantsFamiliarity with human-in-the-loop systems, AI safety, or guardrailsExperience with Agile development methodologiesSuccess in This RoleMeasurable customer value and adoptionAI features are high quality, reliable, and continuously improvingMCP evolves into a scalable and differentiated platform capabilityProduct development velocity and insight generation are significantly enhanced through effective use of AI
Optionally, you can add more information later (benefits, pre-screening questions, etc.)