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

The Tax Engineer will lead implementation and onboarding at accounting firms, design tailored tax workflows, integrate systems, and advise on tax technology strategy.

The Office Manager oversees administrative activities, manages front office staff, processes accounts, supports inventory, and interacts with customers.

Manage daily operations of an automotive car-washing and detailing site: supervise labor, monitor productivity, quality control, P&L and labor costs, maintain records, develop processes, ensure safety, build client relationships, and perform/oversee vehicle cleaning and condition documentation.

Lead planning, execution, and completion of tank construction projects; manage schedules, budgets, resources, risks, safety compliance, stakeholders, subcontractors, and cross‑team communication.

You will design and implement automation frameworks using Python and shell scripts, manage infrastructure as code with Ansible and Terraform, and collaborate with teams to ensure robust, reliable environments, while also performing hands-on tasks in data centers.

The Senior Sales Executive sells advertising to local businesses and engages with the community for content creation, fostering relationships and partnerships.

Responsible for managing client relationships, driving paid social strategies, and optimizing account performance across multiple social media platforms.

Maintain and improve developer workflows and core platform systems: CI/distributed CI, build/release packaging, regression tracking automation, and developer tooling. Support developers across languages and systems, keep CI healthy and responsive, package releases, and build tools to reduce developer pain points while collaborating with engineering and product teams.

Lead pre-sales and delivery for end-to-end Oracle Cloud technical solutions. Engage clients to gather requirements, design Oracle SaaS/PaaS/OIC architectures, create proposals, estimates, and project plans, hand off to delivery teams, provide technical oversight, train staff, and ensure methodology and successful implementation. Travel up to 50% domestically.

Design, build, and operate production-grade AI systems using ML, LLMs, RAG, and agentic workflows. Define evaluation strategies, implement data/retrieval/orchestration layers, apply MLOps/LLMOps, and partner with stakeholders to prioritize, monitor, troubleshoot, and improve AI solutions balancing quality, latency, cost, reliability, and maintainability.