Product Manager II
Core
Owns outcomes for a meaningful product area, serving as product owner for a delivery team to connect customer insight, roadmap choices, and measurable business outcomes in healthcare.
Role type
Mid-level product manager (healthcare SaaS)
Builds
Healthcare content and product capabilities for providers and payers
Domain
Healthcare technology / Health informatics
Deliverable
product features
Required skills
Product strategy, roadmap planning, backlog management, customer discovery, market research, competitive analysis, regulatory research, workflow analysis, requirement translation, tradeoff decision-making, business case development, KPI definition, go-to-market support, cross-functional collaboration, mentoring, AI-assisted product workflows
Preferred skills
Experience with industry vendor partners, experience applying AI tools to product discovery and synthesis
Technologies
AI-assisted product workflows
Responsibilities
Serve as product owner for a delivery team; Work with industry vendor partners to design new capabilities; Define product objectives, roadmap recommendations, and outcome measures; Lead customer discovery, market research, competitive analysis, regulatory research, and workflow analysis; Translate ambiguous needs into clear product direction, epics, requirements, and prioritized backlog work; Make product tradeoff decisions involving scope, sequencing, customer impact, risk, delivery constraints, and business value; Build lightweight business cases and investment recommendations; Partner with engineering, design, clinical, data, security, compliance, customer success, implementation, marketing, and sales; Define and monitor KPIs such as adoption, engagement, workflow impact, quality, retention risk, revenue enablement, or operational efficiency; Influence go-to-market, support readiness, enablement, and customer communication; Evangelize product priorities and customer insight with cross-functional partners; Establish and refine product management practices, backlog governance, or delivery approaches; Mentor less experienced Product Managers; Apply AI-assisted product workflows to discovery, synthesis, prototyping, workflow analysis, technical collaboration, and product definition.