Group Product Manager, AI & Clinical Intelligence

About this role

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 https://equip.health/outcomes and treatment approach at www.equip.health. http://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 https://time.com/collection/time100-companies-2023/6285207/equip/ as one of the most influential companies of 2023, along with awards from Linkedin https://www.linkedin.com/pulse/linkedin-top-startups-2022-50-us-companies-rise-linkedin-news/ and Lattice https://lattice.com/blog/announcing-the-2023-finalists-for-lattices-people-success-awards, 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

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