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Field-based sales role to identify, engage, demo, and enroll independent primary care providers into Counterpart Health's network. Manage a sales pipeline, close partnerships, represent the company at events, and ensure smooth handoff to onboarding teams. Requires heavy travel and territory market expansion.

Own end-to-end operating model and outcomes for provider engagement and growth programs. Lead cross-functional teams, track and report program performance from CRM and other data sources, surface and escalate risks, engage directly with practices/providers as needed, and design scalable playbooks and operating processes.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.

Manage a portfolio of primary care provider partnerships to drive adoption, retention, and outcomes with Counterpart Assistant. Serve as product SME, lead onboarding and workflow optimization, analyze performance metrics, identify risks and opportunities, and collaborate cross-functionally to improve platform utilization and value-based care results.

Manage a portfolio of primary care provider partnerships to drive adoption, retention, and success of Counterpart Assistant. Serve as product SME, lead onboarding/training and workflow optimization, analyze performance metrics to identify opportunities, and collaborate cross-functionally to improve outcomes in value-based care.

As a Senior Software Engineer, you will collaborate with teams to build tools enhancing healthcare, drive business outcomes, and adopt AI in development.

Lead and grow a ~10-person global SRE team, drive reliability and cost-efficiency of multi-tenant cloud infrastructure, build self-service platform capabilities, establish SLOs/SLIs, improve alerting, own FinOps practices, and embed AI tooling into SRE workflows.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.

The role involves solving healthcare problems using AI, building impactful systems, and shipping real code in a challenging environment.

Lead the evolution of claims payment accuracy by optimizing strategic configurations, managing a small team, and implementing automated solutions to enhance operational efficiency in healthcare plans.