AI Product Manager, Arbital Health

• 3-5+ years of experience in product management, consulting, analytics, or adjacent roles with significant ownership and execution responsibility
• Proven experience translating ambiguous problems into shipped systems with engineers
• Familiarity with healthcare data, actuarial concepts, value-based care, or financial analytics
• Strong systems thinking: ability to reason about data, workflows, edge cases, and tradeoffs
• Comfort operating in fast-moving environments with incomplete information
• Experience working cross-functionally with engineering, data/science, and customer-facing teams
• Strong written and verbal communication; able to move from executive conversations to detailed specs without losing clarity

Desirable

• We are seeking an AI Product Manager to own the development, reliability, and adoption of Merlin AI– Arbital’s intelligent analytics layer that turns complex healthcare data into real-time actuarial and operational insights through natural language
• This role sits at the intersection of product, engineering, actuarial science, and customer-facing teams
• You will translate ambiguous needs into clear AI workflows, shape how we architect LLM-driven reasoning, and ensure Merlin delivers trusted, high-leverage value for payers and providers
• This role is accountable for defining, validating, and driving the correctness, reliability, and adoption of Merlin in production in partnership with Engineering and Sciences
• Own Merlin’s AI workflows, reliability, and user-facing intelligence experiences; responsible for day-to-day AI product execution and iteration of the Merlin intelligence roadmap, aligned with pillar strategy
• Turn high-level user problems into structured workflows, data requirements, and success criteria; drive clarity on what Merlin should do, why it matters, and how correctness is measured
• Translate ambiguity into shippable AI systems by writing clear specs, PRDs, evaluation frameworks, and edge-case handling for AI behaviors
• Break down complex actuarial and clinical questions into the data primitives Merlin needs, and partner with engineering on safe, reliable model interactions (planning, RAG, schema alignment, fallbacks)
• Drive delivery and reliability by overseeing model and coordinating prompt changes, SQL logic, and evaluation pipelines; define guardrails to reduce hallucinations and ensure predictable deployments
• Collaborate with the sciences team on repeatable testing frameworks and workflows for new markets and contracts
• Shape the customer-facing intelligence experience by leading discovery with payers and providers, mapping user questions to Merlin capabilities, and driving adoption through demos, supporting GTM enablement, and messaging
• Run the execution rhythm across teams (prioritization, sprint alignment, risk tracking, cross-team syncs) and partner with delivery and implementation to ensure clean, accurate Merlin launches
• Identify high-leverage intelligence features that differentiate Arbital, bring insights from user queries into product and commercial strategy, and build internal playbooks and frameworks that make future AI development faster and safer