Senior Product Manager, AI Care Experience
New
9
9amHealthHealthcare
East Coast (EST based), EST basedFull-TimeSenior
SalaryAt least 180,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Product ManagementSaaS
Requirements
- 5+ years of Product Management experience in consumer or SaaS products
- Direct experience in healthcare or care delivery environments (e.g., digital health, care delivery organizations, clinical workflows, patient-facing health products)
- Strong track record owning end to end user or patient experiences
- Experience working on or alongside AI powered products
- Proven ability to work closely with clinicians and translate care pathways and decision logic into product systems
- Strong product instincts around UX, behavior change, and engagement in high stakes environments
- Comfort operating in fast moving, ambiguous environments
Responsibilities
- Own the End to End Care Experience
- Drive the evolution of the member journey into a seamless, AI first care experience
- Identify where AI can reduce friction, improve clarity, and drive behavior change
- Balance automation with human care to ensure strong clinical outcomes and member trust
- Translate Care into Product Systems
- Partner closely with clinical teams to understand care pathways, decision logic, and real world workflows
- Translate these into product experiences, AI behavior, and system logic
- Help define how care is delivered through software, not just supported by it
- Build AI Enabled Care Experiences
- Ship experiences powered by conversational interfaces and agents, personalized recommendations and nudges, intelligent workflows and automation
- Think in systems across the full care journey, not isolated features
- Define Human vs AI Boundaries
- Determine when AI should act vs when to escalate to clinicians
- Design for clinical safety, appropriateness, and trust in all member interactions
- Contribute to prompt design and iteration for key care interactions
- Help define and run evaluation frameworks (evals) to measure AI quality, safety, and effectiveness
- Partner with engineering and data teams to continuously improve system performance
- Own metrics across engagement, retention, and clinical adherence
- Use experimentation and data to improve both UX and AI system behavior
- Own roadmap and prioritization for the AI Care Experience
- Lead cross-functional execution across product, design, engineering, and clinical teams
- Balance rapid iteration with long-term product quality, safety, and scalability
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