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

As Group Product Manager, AI & Clinical Intelligence, you will own the product strategy and roadmap for the AI-powered capabilities that support clinical care at Equip — from decision support and care-team tooling to patient-facing intelligence features. You'll sit at the intersection of AI engineering, clinical leadership, and product, translating clinical expertise and model capability into safe, effective, and trusted digital experiences. This is a highly cross-functional, high-visibility role reporting into product leadership, ideal for someone who can move fluently between technical AI conversations and clinical nuance.

Responsibilities

• Own the product roadmap for AI and clinical intelligence capabilities, aligning it with clinical outcomes goals, company strategy, and regulatory requirements.

• Partner closely with AI/ML engineers to scope, prioritize, and ship models and features — translating clinical requirements into technical specifications and translating technical constraints back into clinically sound product decisions.

• Collaborate with clinical leadership (therapists, dietitians, medical providers) to ensure AI-assisted tools reflect gold-standard eating disorder treatment practices and do not introduce clinical risk.

• Define and govern responsible AI practices for clinical use cases, including model evaluation criteria, human-in-the-loop safeguards, escalation paths, and bias/safety monitoring appropriate to a clinically sensitive population.

• Design and oversee analytics and evaluation frameworks that measure model performance, clinical impact, and patient/provider trust — not just usage.

• Guide AI product development through the full lifecycle: problem framing, model/vendor evaluation, prototyping, clinical validation, launch, and iteration.

• Translate healthcare regulations and compliance requirements (HIPAA, informed consent, clinical documentation standards) into product and model requirements.

• Conduct research with patients, providers, and clinical staff to identify where AI can responsibly reduce burden or improve care, and where it should not be applied.

• Present AI product strategy, risk considerations, and results to executive leadership, clinical leadership, and the board as needed.

• Mentor and potentially build out a small team of PMs focused on AI/clinical intelligence workstreams.

• Perform other duties as assigned.

Qualifications

• 8+ years of product management, including significant AI/ML experience in regulated or clinically sensitive domains.

• Strong technical fluency in AI/ML (e.g., model evaluation, RAG, guardrails) to partner effectively with engineering.

• Experience building products for clinical workflows and healthcare operations.

• Expertise in healthcare regulatory requirements (e.g., HIPAA, clinical decision support standards).

• Comfort navigating ambiguity to establish AI guardrails in clinical settings.

• Ability to lead cross-functional teams and translate requirements between clinical, technical, and executive stakeholders.

• Data-driven approach to measuring product performance, clinical impact, and safety outcomes.

Preferred Qualifications

• Background in mental health or eating disorder treatment services.

• Direct experience with clinical decision support tools, care coordination platforms, or clinical documentation AI.

• Familiarity with responsible AI/AI governance frameworks in a healthcare context.

• Experience partnering with or managing applied AI/ML engineering teams.

• Knowledge of value-based care models and healthcare quality measurement.

• Understanding of behavioral health regulations and patient privacy requirements.

Benefits

Time Off:

• Flex PTO (3-5 wks/year recommended) + 11 paid company holidays.

• Generous parental leave.

Core Benefits:

• Competitive Medical, Dental, and Vision plans with generous employer contributions for both individuals and families.

• Company-paid Short-Term Disability, Long-Term Disability, Life and AD&D insurance.

• Company-paid partnership with Maven Clinic to provide comprehensive reproductive and family care resources.

• Employee Assistance Program (EAP), a company-paid resource for mental health, legal services, financial support, and more!

• 401(k) Option.

Additional Perks:

• Opportunities to attend team onsites and conferences at various locations throughout the US.

• $250/month stipend to use a co-working space.

• $50/month home internet stipend.

• One-time work from home stipend of up to $500.

Physical Demands:

Work is performed 100% from home with no requirement to travel. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed.

At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip.

As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law.

Our dedication to equitable access, which is core to our mission, extends to how we build our "village." In line with our commitment to Diversity, Equity, Inclusion, and Belonging (DEIB), we are dedicated to an accessible hiring process where all candidates feel a true sense of belonging. If you require a reasonable accommodation to complete your application, interview, or perform the essential functions of a role, we invite you to reach out to our People team at accommodations@equip.health.

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