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

The Customer Success Manager drives customer retention and satisfaction for enterprise clients, ensuring smooth onboarding and effective issue resolution while collaborating across teams to enhance customer experience.

Lead and execute nationwide yacht parties for college students, coordinating logistics, promoting events, and ensuring memorable experiences.

As a Simulation Researcher/Engineer, you'll design simulation environments, build evaluation harnesses, develop simulation pipelines, and collaborate on generative models.

Lead category strategy and strategic sourcing for indirect functional spend (HR, IT, Marketing, Insurance, Professional Services). Manage a ~$60M global portfolio, drive cost savings, supplier consolidation, and risk mitigation. Own supplier relationships, contract compliance, procurement governance, stakeholder collaboration across functions and divisions, and track/ report value delivery into the central procurement pipeline.

Senior operator to lead operations and marketing for a growing financial media ecosystem. Responsible for strategy, user acquisition (SEO, content, social, email, performance), platform growth, monetization (affiliate, ads, sponsored content), partnerships, product/UX improvements, KPI reporting, and building/managing cross-functional teams to scale revenue and audience.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

The Senior Product Manager for Predictions will oversee product delivery, collaborate across teams, and ensure the exchange technology meets market needs while managing the product lifecycle.

The BDR will conduct outbound prospecting into performing arts organizations, build lists, qualify leads, book meetings, and manage CRM records.

The Account Executive manages the sales process for small accounts, focusing on prospecting, onboarding, customer success, and renewals while building strong customer relationships.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.