PrincipalProductManager,AIProduct

## Accountabilities Own end-to-end delivery of AI-powered product capabilities, from ideation and customer discovery through development, deployment, and adoption in production environments. Translate emerging AI technologies such as LLMs, retrieval systems, and intelligent automation into scalable healthcare solutions. Partner directly with enterprise customers to understand workflow challenges, validate product direction, and ensure solutions deliver measurable improvements in care delivery, operations, and efficiency. Drive roadmap decisions by balancing customer needs, technical feasibility, and business priorities while ensuring alignment across Engineering, Data Science, GTM, and Customer Success teams. Define and track success metrics tied to adoption, revenue impact, operational efficiency, and customer outcomes, ensuring products deliver clear and measurable value. Collaborate closely with engineering teams on system design, architecture tradeoffs, and production readiness for AI-driven capabilities at enterprise scale. Mentor and influence product practices across the organization while helping establish scalable frameworks for building and shipping AI-native products. Requirements: 12+ years of experience in enterprise SaaS, platform products, data-driven systems, or AI-enabled product environments, ideally within healthcare or similarly complex domains. Proven experience building and shipping enterprise-scale AI, machine learning, or generative AI products, including systems powered by LLMs, RAG architectures, or intelligent automation. Strong technical fluency with modern AI concepts, including model evaluation, retrieval systems, agentic workflows, and AI governance principles. Demonstrated ability to define product strategy and translate complex technical capabilities into clear customer value and measurable business outcomes. Experience working closely with engineering and data science teams to deliver production-grade systems and make architecture-l