Clinical Operations Nurse - 251171

A healthcare technology company on a mission to make clinical care more effective and efficient by combining cutting-edge artificial intelligence with real clinical expertise. Their AI-powered platform works alongside multidisciplinary care teams to help healthcare providers extend their capabilities, improve patient outcomes, and streamline workflows without disrupting existing operations.

Job Title: Clinical Operations Nurse (RN/LPN) Location: This role may be remote or hybrid. NYC-based candidates are a plus but can sit anywhere in the US. Schedule/Shift: M-F, 9-6 EST Pay: $45-55/hr We are looking for a passionate, versatile nurse to join as a foundational member of our clinical operations team. This is a broad-scope “utility player” role for a clinician who is equally comfortable performing hands-on care management work, collaborating with product and engineering teams to refine automated technology workflows, and coaching staff on quality and clinical standards. You will work across the full portfolio of care team agents, supporting everything from chronic condition management and care gap outreach to complex prior authorizations and clinical documentation improvement. In this role, you will serve as an expert-in-the-loop: the clinical voice that ensures we deliver safe, high-quality care at scale.

Deliver high-impact clinical work: Perform care management outreach, chronic condition follow-ups, care gap closure, and other clinical activities powered by AI platforms. Support complex clinical operations workflows: Review prior authorizations, appeals, and other clinical-administrative tasks that require human clinical judgment. Partner with product and engineering: Serve as a clinical subject matter expert, participating in workflow design sessions, testing new agent capabilities, identifying edge cases, and providing feedback. Provide quality oversight: Conduct quality audits of clinical operations activities, identify trends in errors or gaps, and develop remediation plans. Maintain and evolve quality scorecards and clinical rubrics. Develop clinical content and coach staff: Build the clinical protocols, scripts, and decision-support content that power AI agents, and onboard and train clinical team members on platform, workflows, and quality standards.