Principal Product Manager, AI Product

Arcadia

2d•$180,000 - $220,000•Remote

About The Position

Arcadia is seeking a Principal Product Manager, AI Products to define and deliver the next generation of AI-powered healthcare solutions. This leader will own critical product investments that leverage generative AI, advanced analytics, and intelligent automation to solve meaningful customer problems and create measurable business value. Principal Product Managers at Arcadia are builders, operators, and end-to-end owners who combine deep customer understanding, strong technical fluency, and relentless execution to bring innovative products from concept to customer adoption. They operate with significant autonomy, influence company strategy through product outcomes, and are accountable for delivering enterprise-grade capabilities that customers trust and depend on. This role is ideal for product leaders who thrive in fast-moving environments, can translate emerging AI technologies into real-world customer value, and are energized by shipping products rather than managing process. Success is measured by products delivered, customer outcomes achieved, business impact created, and the ability to establish yourself as a trusted expert with customers and cross-functional partners.

Requirements

Bachelor’s degree required; advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field preferred
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

Nice To Haves

advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field
experience includes healthcare environments

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