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The Field Reimbursement Manager will educate customers on billing processes, support sales teams, and ensure correct coding for Heartflow's products, with a focus on claims management.

Develop and maintain data systems and MLOps infrastructure for machine learning algorithm development and deployment, ensuring high-quality datasets and tracking processes.

The Territory Sales Manager will drive sales of Heartflow's technology, build customer relationships, and manage accounts within a specific region, achieving sales goals and promoting product adoption.

The Territory Account Manager will drive adoption of Heartflow's technologies by working with healthcare providers and developing customer relationships. Responsibilities include educating clients, facilitating cross-functional collaboration, and achieving sales targets.

The Territory Sales Manager will drive sales of Heartflow's technology, develop accounts, maintain relationships with clinical stakeholders, and achieve sales goals, requiring extensive experience in healthcare sales.

The Director, HR Business Partner will drive organizational effectiveness, employee engagement, and talent management, collaborating with leaders to align HR strategies with business goals. Responsibilities include change management, compliance, and analyzing HR metrics for workforce insights.

The Network Engineer will implement and maintain LAN/WAN solutions, troubleshoot networking hardware, and support enterprise environments, engaging with vendors to resolve issues.

The Territory Account Manager will drive adoption of Heartflow's cardiovascular diagnostic technology, work with key accounts, build relationships with clinicians, and facilitate cross-functional collaboration to enhance customer satisfaction and achieve sales targets.

Lead development and evaluation of machine learning and image analysis algorithms, focusing on deep learning with 3D medical images. Collaborate cross-functionally to deploy models and publish research.

Join Heartflow's Research team to develop machine learning technologies for medical imaging. Solve challenges in deep learning and computer vision, and collaborate across departments.