Nabla is dedicated to enhancing healthcare by integrating advanced clinical AI solutions that optimize workflows and improve patient care. Their AI assistant streamlines documentation, coding, and EHR management across multiple languages and health systems. Nabla's mission is to build an adaptive agentic platform that supports diverse clinical roles and settings, making them a leader in Healthtech innovation.
Open Positions
Senior Full-Stack Engineer
5+ years of industry experience, strong foundations in computer science, and experience leading complex projects
Senior Front-End (React) Engineer
5+ years of front-end or full-stack experience, deep expertise in React, TypeScript, CSS architecture, and performance optimization
Mid-Market Customer Success Manager
5+ years of experience in customer success, strong healthcare industry knowledge, excellent communication skills, analytical and problem-solving skills, and ability to quickly learn complex technical products
Full-Stack Engineer
2+ years of experience in full-stack engineering, computer science background, and ability to write clean code
Partnership Director
5+ years of experience in managing partner strategy in Healthcare SaaS, demonstrated success in developing and executing partner enablement programs, and strong analytical abilities to interpret data and market insights
Senior Back-End Engineer
5+ years of industry experience, strong foundations in computer science, and deep experience designing, building, and maintaining scalable APIs and distributed systems
Enterprise Customer Success Director
6+ years of experience, strong industry knowledge, excellent communication skills, and analytical problem-solving skills
Full-Stack Engineer
5+ years of experience, strong foundations in computer science, proficient in back-end and front-end languages and frameworks
Enterprise Sales Director
Minimum 5 + years of selling experience, 3 + years in Enterprise sales, and deep understanding of the healthcare landscape
Senior Machine Learning Engineer - Speech to Text
5+ years of experience in speech and audio machine learning, strong understanding of real-time or streaming ML systems, and experience working with transformer-based or hybrid speech architectures
+16 More Jobs Available!
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