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As a Solutions Engineer, you will serve as the primary Integration Engineer for the Overjet IRIS Image Capture platform, integrating with third-party systems, installing software, writing scalable code, troubleshooting issues, and working with cross-functional teams to ensure seamless customer transitions.
As a Senior DevOps Engineer at Overjet, you will collaborate with engineering teams to enhance product reliability, quality, and delivery speed. Your responsibilities include building software and systems for platform infrastructure, improving the developer experience, and ensuring system security and compliance. You will also manage containerized applications using Kubernetes and oversee CI/CD processes.
The Staff Software Engineer will design and implement data integration solutions, develop data pipelines, and collaborate with Machine Learning engineers and product managers to optimize data flows. They will guide the development of data resources and participate in on-call rotations.
As the VP of Insurance Sales at Overjet, you will lead the sales team to drive growth by developing relationships with U.S. insurers, crafting strategic sales plans, monitoring metrics, and facilitating product launches. Your role involves optimizing sales processes, managing a team, and understanding market dynamics to achieve revenue targets.
Overjet is hiring entrepreneurial-minded engineers to build a new AI-driven insurance product from the ground up. This role offers a unique opportunity to shape the future of dentistry and make a significant impact on the industry.
The Staff Software Engineer will design, develop, and maintain software solutions for Overjet's dental and insurance clients. Responsibilities include writing scalable code, troubleshooting software defects, mentoring junior engineers, participating in code reviews, and contributing to project technical direction.
The Senior Data Engineer at Overjet will design and implement data solutions, manage data ingestion, optimize data pipelines, promote seamless data flow, enhance data transformation processes, and establish a strong data quality framework while leading data literacy initiatives.
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