Staff / Principal Product Manager – AI, Data & Analytics (Dental Insurance/Dental Healthcare)
Quick Overview
Job Description
Staff / Principal Product Manager – AI, Data & Analytics (Dental Insurance/Dental Healthcare)
Fully Remote Position
Fulltime / Permanent Position
We are seeking a Staff/Principal Product Manager to own the strategy and roadmap for AI, Data & Analytics products, evolving reporting and dashboards into predictive intelligence and Agentic AI solutions that improve financial and operational outcomes.
Key Responsibilities
Own the roadmap for Data, Analytics, BI, AI/ML, Predictive Analytics, and Agentic AI products.
Build insights and analytics around RCM, A/R, DSO, billing, payments, collections, and cash flow.
Drive AI-powered workflows including next-best actions, automation, anomaly detection, prioritization, and Human-in-the-Loop controls.
Partner with Engineering on data models, SQL, schemas, APIs, pipelines, and PMS integrations.
Define AI reliability, evaluation, trust, and automation standards.
Lead customer discovery and translate business needs into product strategy.
Partner cross-functionally with Engineering, Sales, Customer Success, and Product Marketing to drive adoption and monetization.
Required Qualifications
7+ years of Product Management experience, preferably in B2B SaaS.
Staff/Principal-level experience owning Data, Analytics, BI, Reporting, or AI products.
Proven experience launching AI/ML, Generative AI, LLM, or predictive analytics products.
Strong knowledge of SQL, relational databases, data modeling, schemas, and APIs.
Experience building data products, dashboards, and analytics that support business decisions.
Strong product strategy, execution, customer discovery, and cross-functional leadership skills.
Preferred Domain Experience
Experience in Dental Insurance, Dental Claims, Dental/Healthcare RCM, Payments, Billing, A/R, Collections, or Financial Analytics is highly preferred.
Nice to Have: Agentic AI/AI Agents, Human-in-the-Loop design, modern data/BI platforms, PMS integrations, and experience monetizing Data/AI products.
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