Registered Nurse Supervisor - Alerts

Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating action – so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (#4, 2025). The Role We’re hiring an RN Supervisor (Alerts) to lead the daily operations, clinical quality, and workflow performance of a remote team of nurses managing real-time patient alerts generated through Cadence’s remote monitoring programs. You’ll oversee a high-volume, queue-based triage environment where speed, clinical accuracy, and operational consistency directly impact patient outcomes and provider trust. This role sits at the center of Cadence’s technology-enabled care delivery model, partnering closely with clinical leadership to coach frontline clinicians, manage throughput in real time, and strengthen the systems that support scalable chronic disease management between office visits. What You’ll Do Lead the day-to-day operations of a remote team of RNs and LPNs responsible for reviewing and resolving real-time patient alerts across remote monitoring workflows. Monitor queue performance, alert resolution times, throughput, billable activity, and staffing coverage to ensure operational targets and clinical service levels are consistently met. Conduct clinical audits and chart reviews to evaluate triage quality, documentation accuracy, escalation appropriateness, and adherence to guideline-directed care protocols. Provide structured coaching, real-time feedback, and formal performance management to improve both clinical judgment and productivity in a fast-paced, metric-driven environment. Partner with RN Managers and clinical leadership on escalation pathways, staffing models, workflow optimization, and ongoing clinical education initiatives. Support hiring and onboarding efforts by evaluating candidates for triage readiness, clinical decision-making, communication skills, and operational fit within a queue-based care environment. Contribute directly to patient care as needed, supporting alert management workflows and ensuring continuity of care during periods of high volume or staffing constraints. What You Need Active, unencumbered compact RN license required. Minimum of 5 years of experience as a practicing Registered Nurse in triage, acute care, ICU, urgent care, remote patient monitoring, or chronic disease management settings. Minimum of 1 year of supervisory or management experience leading nurses in high-volume, queue-based, triage, or remote care delivery environments. Demonstrated experience evaluating clinical quality, triage decision-making, escalation appropriateness, and documentation accuracy in alert-driven workflows. Strong operational management experience with performance metrics including alert volume, throughput, call handling time, staffing coverage, and productivity targets. Experience managing remote teams, including scheduling, PTO coordination, staffing coverage, and performance management in continuous operations environments preferred. Strong written and verbal communication skills with experience leading team meetings, conducting 1:1s, and collaborating cross-functionally with clinical leadership. Comfort with AI-assisted clinical tools (such as Gemini, Open Evidence, or comparable platforms) The anticipated salary range for this role is $80,000-$100,000   annually which is based on role scope, level, and location. In addition to base compensation, this role may be eligible for incentive compensation as part of the overall total rewards package. This position is remote and based in the United States. Actual compensation will be determined based on factors including experience, skills, internal equity, and applicable law.