Accountabilities:

AI Product Strategy and Roadmap: Own the end-to-end strategy, development, and execution of patient-facing AI experiences, defining the product roadmap from opportunity identification and prototyping through safety assessments, phased launches, and continuous optimization.
Conversational AI Development: Personally design, build, and refine AI-powered agents across chat, voice, SMS, and in-app channels, including developing system prompts, conversation flows, guardrails, and evaluation datasets.
Patient Journey Optimization: Develop seamless automated experiences that support patients and families throughout their healthcare journey, including initial inquiries, intake, eligibility verification, scheduling, benefits and billing, care-team communications, and operational handoffs.
Responsible AI Implementation: Ensure AI solutions are introduced thoughtfully and responsibly, prioritizing patient needs, clinical quality, and meaningful outcomes rather than automation volume alone. Identify situations where human intervention is essential and ensure technology enhances rather than replaces human care.
Patient Engagement and Lifecycle Communications: Partner with behavioral insights and patient engagement teams to develop lifecycle communication strategies across engagement platforms and AI agents, progressing toward a Next Best Action model that delivers the right message through the right channel at the right time.
Behavioral Science Integration: Apply behavioral science principles, including friction reduction, timing, message framing, and habit formation, to improve conversation design, patient engagement, and treatment continuity.
Clinical Safety and Escalation: Collaborate with clinical leadership to establish safety standards for AI-powered conversations, including crisis detection, escalation protocols, appropriate communication boundaries, and reliable human handoffs for sensitive or high-risk situations.
Operational Workflow Transformation: Work with Operations teams to redesign existing processes around AI capabilities, determining which activities should be automated, which require human oversight, and how employees can review, correct, and take over AI-driven interactions.
Performance Measurement and Evaluation: Establish comprehensive evaluation frameworks covering pre-launch testing, ongoing production monitoring, and measurable success criteria. Track AI performance through patient outcomes, access to care, operational efficiency, engagement, and satisfaction.
Cross-Functional Collaboration: Partner with Clinical, Product, Engineering, Design, Data, Operations, Compliance, and Commercial teams to align priorities, resolve development challenges, and bring new AI initiatives safely into production.
Patient and Family Co-Design: Engage patients and families through advisory groups and structured feedback initiatives to test, evaluate, and improve AI-powered experiences based on real user needs.
Executive Communication: Present product vision, strategic recommendations, risk assessments, performance insights, and measurable business outcomes to executive and clinical leadership.
Vendor and Technology Management: Manage external AI technology providers and platform partners, evaluate vendor capabilities, assess build-versus-buy decisions, and identify opportunities to optimize technology costs and performance.
Continuous Improvement: Monitor real-world agent performance, analyze feedback and operational data, and continuously refine prompts, workflows, safeguards, and product experiences.
Strategic Organizational Impact: Drive key organizational objectives and contribute to the long-term vision for using AI to improve healthcare accessibility, patient engagement, and the quality of care delivery.

Requirements

5+ years of professional experience in software product management, including dedicated experience launching and managing production conversational AI, LLM-powered agents, or automated customer-facing or patient-facing workflows.
Demonstrated experience defining product strategies, developing comprehensive technical specifications, and managing full product lifecycles within agile development environments.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1