Principal Product Manager, AI Product

Arcadia is dedicated to transforming healthcare through data and analytics. They are seeking a Principal Product Manager for AI Products to lead the development and delivery of AI-powered healthcare solutions, focusing on customer outcomes and measurable business impact.

Responsibilities:

• Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact
• Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale
• Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows
• Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
• Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
• Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
• Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
• Act as the accountable owner for shipping high-quality products on a predictable cadence
• Mentor and elevate product management practices across the broader Product organization

Requirements:

• Bachelor's degree required
• 12+ years in enterprise SaaS, platform products, AI-enabled products, data products, or similarly complex technical environments; bonus if experience includes healthcare environments
• Experience building and scaling enterprise-grade AI, machine learning, or generative AI products
• Experience delivering products powered by LLMs, agentic systems, retrieval-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies
• Proven track record shipping products used by enterprise customers at scale
• Experience defining and delivering products tied to measurable business outcomes and revenue impact
• Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives
• Demonstrable understanding of how product decisions connect to business performance and customer value realization
• Experience partnering closely with Engineering and GTM organizations to successfully bring products to market
• Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance
• Ability to engage deeply with engineering teams on architecture, implementation tradeoffs, and production deployment decisions
• Highly autonomous operator with strong ownership mentality and executive presence
• Collaborative leader capable of influencing across Product, Engineering, Analytics, and Executive teams
• Demonstrated ability to create clarity, structure, and momentum in ambiguous problem spaces
• Practiced in building new products, processes, and operating models from the ground up
• Strong ownership orientation with a bias toward action and execution
• Exceptional product strategy, prioritization, communication, and execution leadership
• Strong analytical and technical fluency, including ability to navigate complex platform and AI-enabled product discussions
• Ability to translate customer, operational, and business needs into scalable product direction and measurable outcomes
• advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field