Senior Product Manager, Patient Engagement & AI
New
J
JobgetherVirtual healthcare
Based in the United StatesFull-TimeSenior
SalaryAnnual base salary ranging from $157,500 to $175,000, with additional bonus opportunities.
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Job Details
- Experience
- 5+ years of professional experience in software product management
- Required Skills
- Product ManagementBehavioral scienceA/B testingHIPAA
Requirements
- Have 5+ years of professional experience in software product management.
- Have dedicated experience launching and managing production conversational AI, LLM-powered agents, or automated customer-facing or patient-facing workflows.
- Define product strategies, develop technical specifications, and manage full product lifecycles in agile development environments.
- Collaborate with engineering teams on AI agent development, including tool integrations, multi-step task orchestration, memory and context management, and grounding responses in trusted knowledge sources.
- Understand AI model and vendor trade-offs, including response quality, cost, latency, scalability, and build-versus-buy decisions.
- Have experience implementing third-party agentic AI platforms or vendors in production and integrating automated workflows with clinical or operational processes.
- Design safe escalation mechanisms and human-in-the-loop workflows for sensitive or high-risk user populations.
- Understand healthcare privacy and compliance requirements, including HIPAA and appropriate handling of Protected Health Information (PHI).
- Define and monitor product metrics connecting AI performance with user experience and operational outcomes.
- Use analytical, hypothesis-driven product development, including experiments such as A/B testing and phased rollouts.
- Lead multidisciplinary initiatives and align technical, clinical, operational, and executive stakeholders.
- Previous healthcare experience is strongly preferred; behavioral health experience is highly desirable.
Responsibilities
- Own the strategy, roadmap, development, and execution of patient-facing AI experiences across chat, voice, SMS, and in-app channels.
- Design and refine AI agents, system prompts, conversation flows, guardrails, and evaluation datasets.
- Develop automated experiences for patient inquiries, intake, eligibility verification, scheduling, benefits and billing, care-team communications, and operational handoffs.
- Establish clinical safety standards, crisis detection, escalation protocols, communication boundaries, and human handoffs.
- Partner with behavioral insights and patient engagement teams on lifecycle communications and a Next Best Action model.
- Redesign operational workflows to determine which activities to automate and where human oversight is needed.
- Build evaluation frameworks and monitor patient outcomes, access to care, operational efficiency, engagement, and satisfaction.
- Engage patients and families through advisory groups and structured feedback initiatives.
- Manage AI technology providers, evaluate vendor capabilities, and assess build-versus-buy decisions.
- Present product vision, risk assessments, performance insights, and business outcomes to executive and clinical leadership.
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