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

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

Build and maintain TypeScript/React frontends and SDKs for the Nomina web3 platform, create user-facing dapps, improve developer documentation and DX, and collaborate with product and engineering to deliver high-quality, mobile-friendly features.

The Project Manager leads large projects, ensures timely delivery, manages client relationships, mitigates risks, and develops internal processes.

Perena is seeking motivated individuals to create their own roles within the company, contributing to the development of the Stablebank Network and financial infrastructure. The company values initiative, craft in work, and a culture of innovation in finance.

As the Vice President of Marketing, you will drive growth by developing and executing the Go-To-Market strategy, running growth experiments, and shaping brand identity in a B2B SaaS environment.

The Senior Supplier Manager will manage supplier relationships to enhance the Internet and Cloud services portfolio, focusing on operational and commercial quality, supplier needs, and customer experience.

Provide technical leadership and hands-on support for SCADA, controls, and OT systems across utility-scale BESS and solar sites. Lead incident response, troubleshooting, root-cause analysis, telemetry quality, monitoring/alerting, documentation, vendor coordination, and standardization across the fleet while mentoring junior engineers.

Lead a remote team of client-facing accountants providing full-cycle outsourced accounting services. Oversee onboarding, quality control, technology implementation, hiring/training, performance management, client relationships, budgets, and confidentiality.

Own and improve the dbt modeling and semantic layers, implement CI/CD, tests, observability, and governance; build governed metrics for BI and AI consumption; partner with Data Engineering and Risk to stabilize pipelines and improve data quality and documentation.

Design, build, and deploy production-grade AI/ML and LLM-based systems. Lead end-to-end ML lifecycle, implement RAG and embedding pipelines, establish MLOps best practices, mentor engineers, and collaborate with cross-functional teams to deliver scalable, responsible AI solutions.