Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The EMR Success Manager leads a team ensuring customer success with EMR integrations, manages operations, drives technical leadership, and partners cross-functionally to enhance the integration experience.

Own implementation and polish of player-facing UI across platforms: translate wireframes to data-driven widgets, implement responsive animations and interactive behavior, optimize and debug UMG/Blueprints for performance, advise on architecture and workflow, and improve UI pipelines while collaborating with design, art, and engineering.

The Specialty Sales Representative drives brand awareness and product adoption by engaging healthcare professionals and establishing strong relationships within the assigned territory. This role involves executing strategies, navigating access dynamics, and providing education on products and disease-states.

Lead client accounts and business growth while managing high-stakes projects. Mentor colleagues and ensure strategic alignment for lasting impact.

As a QA Engineer, you will ensure the quality of AI features, design test strategies, maintain automated pipelines, and collaborate on quality metrics.

Support and enhance Enterprise GIS within the ESRI ecosystem: design, develop, test, document, and release low/no-code applications; gather requirements; manage multiple application projects; integrate systems and troubleshoot production issues; coordinate data conversions and compatibility; evaluate software packages; and create and maintain metadata.

Lead technical implementation of custom web projects, focusing on WordPress back-end development, while ensuring quality, security, and collaboration with teams.

The Senior Full Stack Developer will solve complex software challenges using React and Node.js, with a strong emphasis on collaboration and ownership in a mission-driven environment.

As an AI Transformation Lead, you will manage end-to-end AI program initiatives, drive deployment in functions, and ensure adoption across the organization.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.