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. Learn more about our strong outcomes and treatment approach at www.equip.health.

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. Because the people we serve are often reaching out in vulnerable moments, this role sets the bar for safety: recognizing risk, knowing when an AI agent should step back, and getting people to a human quickly. This is not a role about applying AI for its own sake. This PM will be thoughtful about where and how AI is used, grounding every decision in patient values and quality of care so that automation improves the experience and leads to the right outcomes for patients and families.

This role offers a rare balance of hands on building and strategic leadership. On the ground, you will personally design, build, and refine AI agents, from writing prompts and conversation flows to testing, tuning, and launching them alongside Engineering and vendor partners. At the same time, you will establish the foundations for patient facing AI at Equip, building processes from the ground up for how we monitor and evaluate agent performance, helping the organization understand AI outcomes, and working closely with senior and clinical leadership to set direction and shape the long-term vision for what AI can make possible for patients, families, and our teams. Ultimately, this position drives core organizational OKRs to advance Equip’s mission of delivering accessible, gold-standard eating disorder treatment.

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, and define and execute the roadmap from opportunity framing and prototyping through safety review, phased launch, and ongoing iteration.

Champion a thoughtful, values-driven approach to AI, making sure every patient-facing agentic experience reflects Equip’s clinical values and patient needs, is measured on care quality and patient outcomes (not just automation rates), and is introduced only where it makes the experience better for patients, families, and teams.

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, and using strong product judgment to identify where AI meaningfully improves the experience and where a person should stay in the lead.