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Own day-to-day Client Support operations and QA for a healthcare SaaS product, coach and develop the support team, manage escalations, administer Zendesk routing, provide hands-on queue coverage for complex issues, and partner with cross-functional teams to improve processes and client outcomes.

As a Staff Machine Learning Research Scientist, you will lead ML research, develop evaluation frameworks, mentor researchers, and collaborate on clinical AI solutions.

Lead and scale a remote revenue cycle solution engineering team to deliver secure, scalable integrations (HL7, FHIR, APIs, DB extracts) with large health systems (Epic, Cerner). Partner with Product, Engineering, Implementation, and Customer Success, manage complex deployments, drive architecture and tooling improvements, and provide hands-on escalation support and metrics for integration performance.

Lead and scale the SmarterDenials product line by defining vision and roadmap, managing and mentoring PMs, collaborating with engineering, data science, design and client success, engaging customers for feedback, and tracking KPIs to drive clinical and commercial outcomes.

Lead a portfolio of enterprise health system clients to drive implementation, adoption, and value realization of AI-powered clinical documentation. Build executive and clinical relationships, run governance and business reviews, coordinate cross-functional teams, monitor adoption and outcomes, advocate client needs to Product, and support renewals and account growth.

Lead and grow a data engineering team to ingest and operationalize healthcare data, ensuring quality, governance, and timely client integrations.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.