Medical Informatics Engineering

Product Manager

• Identify high-impact AI use cases tied to customer pain points and strategic priorities
• Lead structured discovery with customers, stakeholders, and technical teams
• Translate ambiguous problems into validated product opportunities
• Define product vision, roadmap, and measurable outcomes for AI initiatives
• Partner with domain product teams to identify opportunities where AI can meaningfully improve workflows, automation, and decision support.
• Define reusable AI capabilities that can be leveraged across multiple product domains
• Partner with engineering to design scalable AI architecture including orchestration layers, model integrations, and AI-enabled workflows
• Support development of LLM-driven copilots, automation agents, and intelligent workflow assistance
• Balance rapid experimentation with production readiness using AI-assisted development techniques
• Define packaging, positioning, and monetization strategies for AI-powered capabilities
• Drive alignment across Product, Engineering, Customer Success, and GTM on AI strategy and execution
• Partner with Sales, Marketing, and Customer Success to drive adoption and commercial success
• Establish KPIs tied to usage, performance, and business impact
• Measure and iterate based on real-world performance
• Collaborate with domain product leads to ensure AI capabilities are effectively embedded into customer workflows
• Help define the long-term AI capability roadmap for the MIE / Enterprise Health platform
• Establish standards for responsible AI use including security, privacy, explainability, and compliance
• Partner with engineering leadership on AI architecture and model governance
• Ensure AI features operate safely within healthcare and regulated environments
• Support evaluation of emerging AI technologies and vendors

Senior Product Manager – AI