Senior Product Manager, Patient Engagement & AI - Equip

About Equip

Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans.

Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equipsters that have created Equip’s culture. Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families.

About the role

The Senior Product Manager will lead Equip’s strategic execution for patient-facing AI across the care journey, building experiences that make it easier for families to get help and for our teams to deliver it. This role will define how Equip uses AI to connect with everyone we serve, from families exploring care to patients in treatment, referring providers, and the internal teams who support them.

This includes omnichannel AI agents (chat, voice, SMS, and in-app) and automated workflows across intake and eligibility, scheduling, benefits and billing, care-team message triage, and handoffs to our operations teams. Working across Growth, Product, Data, Clinical, Operations, Engineering, Design, and Compliance, this role will make it faster and easier for families to get into care and stay in care, while reducing manual work for our teams.

Responsibilities

• Own Equip’s patient-facing AI-powered experiences end to end, shaping every automated conversation and workflow that helps people find, start, and stay in care.
• Champion a thoughtful, values-driven approach to AI, making sure every patient-facing agentic experience reflects Equip’s clinical values and patient needs.
• Hold a high bar for experience quality across the end-to-end journey, looking beyond individual features to ensure every AI touchpoint feels seamless, consistent, and human.
• Partner with behavioral insights and patient engagement to own patient lifecycle communications product strategy across Braze and AI agents.
• Apply behavioral science principles (friction reduction, timing, framing, habit formation) to conversation design and flow.
• Own the safety standard for patient AI conversations: partner with clinical leadership to define crisis detection, escalation paths, and fast, reliable handoffs to humans.
• Partner with Operations to redesign workflows around AI, deciding what is automated, what stays with people, and how team members review, correct, and take over from agents.
• Establish evaluation frameworks spanning pre-launch testing and live production monitoring, with success measured by outcomes.
• Partner cross-functionally across Clinical, Design, Engineering, Operations, Compliance, and Commercial teams to drive alignment and clear developmental blockers.
• Present AI product vision, risk assessments, and measurable outcomes to executive and clinical leadership.
• Work directly with and help manage vendors as well as weigh in on cost optimization opportunities.
• Personally own prompt design for patient-facing agents (system prompts, guardrails, eval sets) and continuously tune them based on production performance.

Qualifications

• 5+ years of software product management experience, including dedicated experience shipping production conversational AI, LLM-powered agents, or automated customer or patient facing workflows.
• Demonstrated experience defining product strategy, authoring comprehensive technical specifications, and managing full product lifecycles within an agile environment.
• Demonstrated product taste and user experience judgment, with a track record of shaping cohesive, high-quality journeys across multiple touchpoints.
• Demonstrated ability to collaborate with engineering teams on AI agent design, tool use, orchestration of multi-step tasks, memory and context management, and grounding agent responses.
• Demonstrated experience implementing and managing third-party agentic AI vendors or platforms in production (healthcare experience strongly preferred).
• Demonstrated experience designing safe escalation and human-in-the-loop experiences for sensitive or high-risk user populations within regulated healthcare environments, including HIPAA compliance.
• Demonstrated experience defining product metrics that connect AI performance to user experience and operational outcomes.
• Demonstrated hypothesis-driven approach to product development, including designing and running experiments, measuring impact, and using data to make clear decisions.
• Demonstrated ability to lead multidisciplinary initiatives and align technical, clinical, operational, and executive stakeholders.
• Strong communication skills with a demonstrated ability to synthesize complex information for a diverse audience.
• Strong ability to remain composed and navigate high ambiguity and competing constraints.