Jobgether

Group Product Manager, AI & Clinical Intelligence

  • Remote
  • full time
  • $148k–$185k/year
  • Posted today

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About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Group Product Manager, AI & Clinical Intelligence based in United States. This role offers the opportunity to lead the development of AI-powered product capabilities that directly support clinical decision-making and improve healthcare outcomes. You will define the strategy and roadmap for intelligent solutions that bridge advanced AI technologies with real-world clinical needs. Working at the intersection of product, engineering, and healthcare experts, you will transform complex challenges into safe, impactful digital experiences. The role requires strong product leadership, technical fluency, and the ability to navigate regulated environments with care and precision. You will help shape responsible AI practices, ensuring solutions are effective, ethical, and trusted by clinicians and patients. This is a high-impact opportunity to influence the future of virtual healthcare delivery while collaborating with a passionate, mission-driven team. \n Accountabilities: The Group Product Manager, AI & Clinical Intelligence will own the product vision, strategy, and execution for AI-driven clinical capabilities, ensuring solutions align with business objectives, clinical standards, and patient outcomes. This role will serve as a key connection point between AI engineering teams, healthcare professionals, and product leadership while driving innovation in a highly regulated environment. Own and execute the AI and clinical intelligence product roadmap, aligning priorities with clinical goals, company strategy, and regulatory requirements. Partner with AI/ML engineers to define, prioritize, and deliver AI-powered features while translating clinical needs into technical requirements. Collaborate with healthcare professionals to ensure AI solutions support evidence-based practices and maintain patient safety. Establish responsible AI frameworks, including evaluation criteria, human oversight processes, escalation workflows, and safety monitoring. Build analytics and measurement frameworks to assess model performance, clinical effectiveness, user trust, and overall impact. Guide AI product initiatives through the full lifecycle, including discovery, prototyping, validation, launch, and continuous improvement. Translate healthcare regulations and privacy requirements into product specifications and AI governance practices. Conduct research with patients, providers, and internal teams to identify opportunities where AI can improve care delivery. Present product strategies, risks, outcomes, and recommendations to executive stakeholders and leadership teams. Mentor product managers and contribute to building future AI-focused product capabilities. Requirements: The ideal candidate is an experienced product leader with a strong background in AI/ML, healthcare technology, and regulated product environments. They combine strategic thinking, technical understanding, and strong communication skills to align diverse teams around impactful solutions. 8+ years of product management experience, including significant experience working with AI/ML products in healthcare or other regulated industries. Strong technical understanding of AI/ML concepts, including model evaluation, retrieval-augmented generation (RAG), AI guardrails, and responsible AI practices. Experience building products that support clinical workflows, healthcare operations, or patient-facing experiences. Knowledge of healthcare regulations and standards, including HIPAA, clinical decision support requirements, and patient privacy considerations. Ability to define AI governance approaches and make thoughtful decisions in complex, safety-sensitive environments. Proven experience leading cross-functional teams and translating between technical, clinical, and executive audiences. Strong analytical mindset with experience measuring product performance, business impact, and safety outcomes. Ability to operate effectively in ambiguous environments and create structured strategies from complex challenges. Experience partnering with AI/ML engineering teams and guiding technical product development. Preferred experience with behavioral health, mental health, eating disorder treatment, clinical documentation AI, care coordination platforms, value-based care models, or healthcare quality measurement. Benefits: Competitive compensation package with a base salary range of $148K – $185K plus bonus eligibility. Flexible paid time off policy with recommended 3–5 weeks annually. 11 paid company holidays. Generous parental leave benefits. Medical, dental, and vision insurance plans with employer contributions for individuals and families. Company-paid short-term disability, long-term disability, life, and AD&D insurance. Access to reproductive and family care resources. Employee Assistance Program offering mental health, legal, and financial support services. 401(k) retirement plan options. Opportunities to attend team events and professional conferences. Monthly coworking space stipend of $250. Monthly home internet stipend of $50. One-time work-from-home setup stipend of up to $500. Fully remote work environment with no required travel. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Skills

  • Product Management
  • AI/ML Strategy
  • Clinical Intelligence
  • Retrieval-Augmented Generation (RAG)
  • Responsible AI
  • Healthcare Regulations
  • HIPAA Compliance
  • Clinical Workflow Design
  • Model Evaluation
  • AI Governance
  • Cross-functional Leadership
  • Product Roadmap Execution
  • Data Analytics
  • Stakeholder Management
  • Patient Safety Monitoring
  • Technical Product Development

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