Gradient AI
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Recently posted jobs
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Senior Project Manager will oversee product development projects, ensuring timely delivery and effective communication with stakeholders while establishing processes for future projects.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The VP of Marketing will lead B2B marketing efforts, focusing on demand generation, pipeline growth, and brand visibility while managing a marketing team.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
As a Senior Front-End Software Engineer, you'll develop scalable web applications using React, collaborate with teams, and enhance user interfaces.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
As a Full-Stack Software Engineer, you will build and maintain client-facing applications, develop APIs, and collaborate on new features for Gradient AI's SaaS platform.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
Design and manage data pipelines for healthcare clients, ensuring compliance with healthcare regulations and focusing on data quality and integrity.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Senior QA Engineer ensures the quality of software products through manual and automated testing, collaborates with teams to resolve issues, and monitors testing efficiency.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Staff Security Engineer will manage the security posture, lead compliance evaluations, implement cloud security measures, and optimize security operations.
Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Analytics
The Client Executive will manage post-sale client relationships, ensuring successful implementation of analytics solutions and ongoing client engagement.
