Top Tech Jobs & Startup Jobs in Salt Lake City, UT

The Director of Practice Operations leads day-to-day operations for patient-facing teams, focusing on onboarding, licensing, workforce management, and performance reporting. The role requires scaling operations in a fast-paced healthcare environment and improving internal processes, while working with various operational stakeholders to enhance patient experience and cost efficiency.

The Senior Software Engineer will enhance video streaming solutions using Wowza and similar technologies. Responsibilities include optimizing GPU efficiency, architecting high-quality video features, and overseeing maintenance and upgrades. The role requires expertise in large-scale streaming pipelines and mentoring less experienced staff.

The Technical Product Manager will own the product roadmap, manage feature releases, and drive the development for developer SDK products at Apryse. Responsibilities include measuring product metrics, acting as a subject matter expert and coordinating with teams to ensure successful product launches.

The Staff Software Engineer will innovate and enhance CertifID's platform, collaborating closely with engineers, product managers, and designers. Responsibilities include creating high-quality software solutions, fostering code quality and documentation, participating in agile practices, mentoring peers, and contributing to a positive culture of innovation and continuous improvement.

The Head of Fundamentals at Octus will manage the P&L for the Fundamentals product, driving top-line ARR growth and developing product roadmaps. This role involves client engagement, implementing data-quality programs, and leading a global team while collaborating with various internal departments.

The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.

Lead development of components and user experience related to sensitive data identification and classification. Coordinate design, development, and deployment across engineering teams. Ensure quality through code reviews and best practices.