Senior Product Manager, Patient Engagement & AI

Equip Health
•$157,500 - $175,000•Remote

About The Position

The Senior Product Manager will lead Equip’s strategy and execution for patient-facing AI across the care journey. The role will define and build AI experiences that help families access care and help Equip teams deliver it, including omnichannel agents across chat, voice, SMS, and in-app, plus automated workflows for intake and eligibility, scheduling, benefits and billing, care-team message triage, and handoffs to operations teams. The role works across Growth, Product, Data, Clinical, Operations, Engineering, Design, and Compliance to improve access and continuity of care while reducing manual work. Because patients and families may reach out in vulnerable moments, the position is responsible for setting safety standards, recognizing risk, and ensuring that AI agents step back and transfer people to a human when appropriate. AI use should be grounded in patient values and quality of care, rather than automation for its own sake. The role combines hands-on product development with strategic leadership. The Senior Product Manager will design, build, test, tune, and launch AI agents, including writing prompts and conversation flows alongside Engineering and vendors. They will establish processes for monitoring and evaluating agent performance, communicate AI outcomes across the organization, and work with senior and clinical leadership to define the long-term AI vision. The position drives organizational OKRs in support of Equip’s mission of delivering accessible, gold-standard eating disorder treatment.

Requirements

  • At least 5 years of software product management experience, including dedicated experience shipping production conversational AI, LLM-powered agents, or automated customer- or patient-facing workflows.
  • Experience defining product strategy, authoring comprehensive technical specifications, and managing full product lifecycles in an agile environment.
  • Strong product taste and user experience judgment, with a record of shaping cohesive journeys across multiple touchpoints and knowing when not to automate.
  • Ability to collaborate with engineering teams on AI agent design, including tool use, multi-step task orchestration, memory and context management, and grounding responses in trusted knowledge sources; ability to evaluate model and vendor trade-offs across quality, cost, latency, and build-versus-buy.
  • Experience implementing and managing third-party agentic AI vendors or platforms in production and designing workflows that fit clinical and operational processes.
  • Experience designing safe escalation and human-in-the-loop experiences for sensitive or high-risk populations in regulated healthcare environments, including HIPAA compliance and PHI handling.
  • Experience defining product metrics that connect AI performance to user experience and operational outcomes, such as access to care, efficiency, and satisfaction.
  • Hypothesis-driven product development experience, including designing and running experiments such as A/B tests and phased rollouts, measuring impact, and using data to decide what to scale, iterate on, or stop.
  • Ability to lead multidisciplinary initiatives and align technical, clinical, operational, and executive stakeholders on complex product decisions.
  • Ability to influence without formal authority, set standards for team excellence, promote best practices, and support retention through proactive peer mentorship.
  • Strong communication skills and ability to synthesize complex information for diverse audiences.
  • Ability to remain composed and perform effectively amid high ambiguity and competing constraints.

Nice To Haves

  • Healthcare experience is strongly preferred.
  • Behavioral health experience is strongly preferred.

Responsibilities

  • Own Equip’s patient-facing AI experiences end to end and define and execute the roadmap from opportunity framing and prototyping through safety review, phased launch, and iteration.
  • Ensure patient-facing AI reflects Equip’s clinical values and patient needs, is measured by care quality and patient outcomes, and is used only where it improves the experience.
  • Maintain a high standard for end-to-end experience quality across AI touchpoints, applying product judgment about when AI is appropriate and when a person should remain in the lead.
  • Partner with behavioral insights and patient engagement to own patient lifecycle communications strategy across Braze and AI agents, developing toward a Next Best Action model for message, channel, and timing.
  • Apply behavioral science principles such as friction reduction, timing, framing, and habit formation to conversation design and flows.
  • Partner with clinical leadership to define crisis detection and escalation paths, prohibited agent guidance, and fast, reliable handoffs to a human.
  • Partner with Operations to redesign workflows around AI, determine what is automated versus handled by people, and define how team members review, correct, and take over from agents.
  • Establish pre-launch evaluation frameworks and live production monitoring, measuring success by outcomes.
  • Align Clinical, Design, Engineering, Operations, Compliance, and Commercial teams, remove development blockers, and create a process for quickly and safely bringing AI use cases into production.
  • Engage patients and families through Equip’s advisory council for testing and co-design.
  • Present AI product vision, risk assessments, and measurable outcomes to executive and clinical leadership.
  • Work directly with vendors, help manage them, and identify cost optimization opportunities.
  • Own prompt design for patient-facing agents, including system prompts, guardrails, and evaluation sets, and tune prompts based on production performance.
  • Perform other duties as assigned.

Benefits

  • Flex PTO policy, with 3–5 weeks per year recommended.
  • 11 paid company holidays.
  • Generous parental leave.
  • Medical, dental, vision, life, and AD&D insurance; Equip pays a significant percentage of individual and family premiums.
  • Spring Health mental health benefit, 100% employer-paid through Guardian, including five free therapy sessions and five free coaching sessions per year for the employee and each dependent.
  • Employee Assistance Program for mental health, legal services, financial support, and more.
  • HealthJoy employer-paid healthcare concierge platform.
  • 401(k) option.
  • $50 per month home internet stipend.
  • $250 per month coworking space stipend.
  • Initial work-from-home stipend of up to $500.
  • $200 home office stipend reload at the three-year mark and every other year thereafter.
  • Company laptop.
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