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

Administer monthly and quarterly commission calculations, maintain commission software (Xactly), design commission plans, produce KPI reporting, enable new commissionable employees, analyze operations for improvements, consolidate data for strategic decisions, and support business reporting across the company.

Manage day-to-day operations for two YouTube podcast channels: review 3–4 edited videos weekly, curate IG/TikTok clips, maintain podcast/YouTube schedule, write podcast ads, create mash-up episodes, and support PR/marketing projects and freelance editing coordination.

Lead go-to-market for a new AI product by conducting customer discovery, defining positioning and journeys, improving activation and adoption, building scalable GTM systems, shaping product roadmap with engineering, and running experiments to optimize conversion, engagement, and retention.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

The Staff Security Engineer will lead technical security initiatives, own architectural security decisions, mentor engineers, and align teams on security strategy while ensuring system integrity and compliance.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

The Sales Engineer role involves guiding integration of advanced wireless networking solutions for unmanned systems, addressing technical challenges, and ensuring successful deployments while maintaining CRM documentation and customer relations.

The role involves developing account management experiences, communicating with customers, providing logistic solutions, and managing operations for Open Deck accounts.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.