Equip Health

Group Product Manager, AI & Clinical Intelligence

Equip Health$120K — $150K *
US-AnywhereRemote in United States
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of product management experience with a focus on AI/ML in regulated or clinical environments.
  • Strong technical knowledge of AI/ML processes and standards.
  • Experience in developing products for clinical workflows and healthcare operations.
  • Expertise in navigating healthcare regulations such as HIPAA.
  • Proven ability to lead cross-functional teams and facilitate communication between stakeholders.
  • Data-driven mindset for assessing product performance and safety outcomes.

Responsibilities

  • Own and align the product roadmap for AI capabilities with clinical and regulatory goals.
  • Collaborate with AI/ML engineers to translate clinical needs into technical specifications.
  • Work with clinical leadership to ensure compliance with gold-standard treatment practices.
  • Establish responsible AI practices and monitoring for clinical applications.
  • Design frameworks to evaluate model performance and clinical impact.
  • Guide the complete AI product lifecycle from conception through launch and iteration.
  • Engage in research to define where AI can enhance clinical care without introducing risks.

Benefits

  • Flex PTO (3-5 weeks recommended) + 11 paid company holidays.
  • Generous parental leave.
  • Competitive medical, dental, and vision plans with employer contributions.
  • Company-paid short-term and long-term disability insurance.
  • 401(k) option with company-supported benefits.
  • $250/month coworking space stipend and $50/month home internet stipend.
Full Job Description
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.

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About Equip Health

Equip Health is an Australian healthcare company that provides a range of mental health services to individuals, families, and organizations. The company was founded in 2016 by Dr. Grant Blashki, a leading expert in mental health and wellbeing, and has since grown to become one of the largest providers of mental health services in Australia. Equip Health's services include online therapy, face-to-face counseling, and workplace mental health programs, and are designed to help people improve their mental health and wellbeing. The company has a strong focus on evidence-based practice and uses the latest research to inform its services.
Learn more about Equip Health
Size
50 employees
Industry
Founded
2016

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