equip - Group Product Manager, AI & Clinical Intelligence
Requirements
• 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. • 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.
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.
Benefits
• Flex PTO (3-5 wks/year recommended) + 11 paid company holidays. • Generous parental leave. • 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. • 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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