Senior Product Manager, Patient Engagement & AI
New
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EquipHealthcare technology
Remote - USAFull-TimeSenior
Salary$157.5K - $175K; $157.5K – $175K • Offers Bonus
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Job Details
- Experience
- 5+ years of software product management experience
- Required Skills
- Product ManagementBehavioral scienceA/B testing
Requirements
- Have 5+ years of software product management experience.
- Have dedicated experience shipping production conversational AI, LLM-powered agents, or automated customer- or patient-facing workflows.
- Have experience defining product strategy, authoring comprehensive technical specifications, and managing full product lifecycles in an agile environment.
- Demonstrate product judgment in shaping cohesive, high-quality journeys across multiple touchpoints and knowing when not to automate.
- Have experience collaborating with engineering teams on agent tool use, multi-step task orchestration, memory and context management, and grounding responses in trusted knowledge sources.
- Be able to assess model and vendor trade-offs across quality, cost, latency, and build versus buy.
- Have experience implementing and managing third-party agentic AI vendors or platforms in production; healthcare experience is strongly preferred.
- Have experience designing safe escalation and human-in-the-loop experiences for sensitive or high-risk populations in regulated healthcare, including HIPAA compliance and PHI handling; behavioral health experience is strongly preferred.
- Have experience defining product metrics that connect AI performance to user experience and operational outcomes.
- Have experience designing and running experiments, such as A/B tests and phased rollouts, and using data to decide what to scale, iterate on, or stop.
- Be able to lead multidisciplinary initiatives and align technical, clinical, operational, and executive stakeholders.
- Be able to influence without formal authority, set team standards, and support peer mentorship.
Responsibilities
- Own patient-facing AI experiences and define and execute their roadmap from opportunity framing and prototyping through safety review, phased launch, and iteration.
- Design, build, test, tune, and launch AI agents, including prompts and conversation flows, alongside Engineering and vendor partners.
- Set standards for AI experience quality, grounding decisions in patient needs and care quality and identifying when a person should remain in the lead.
- Own patient lifecycle communications product strategy across Braze and AI agents, building toward a Next Best Action model.
- Apply behavioral science principles such as friction reduction, timing, framing, and habit formation to conversation design and flow.
- Partner with clinical leadership to define crisis detection, escalation paths, agent boundaries, and reliable handoffs to humans.
- Partner with Operations to redesign workflows around AI and define what is automated and how teams review, correct, and take over from agents.
- Establish evaluation frameworks for pre-launch testing and live production monitoring, measuring outcomes.
- Coordinate with Clinical, Design, Engineering, Operations, Compliance, and Commercial teams; engage patients and families in testing and co-design.
- Present AI product vision, risk assessments, and measurable outcomes to executive and clinical leadership, and work with vendors on cost optimization.
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