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

Consult on and implement Oracle supply chain and operations applications, analyze client needs, optimize processes, support demand forecasting and inventory management, provide training, manage project resources and budgets, and develop data-driven insights to improve operational efficiency.

Lead design and delivery of AI/GenAI solutions and scalable data infrastructure. Drive business development, manage multiple client engagements, mentor teams, implement AI models using Python and C++, ensure data quality, and promote innovation across projects.

Lead design and delivery of a scalable Operations learning ecosystem, from onboarding to product launch readiness. Build AI-enabled, data-driven curricula and knowledge management, mentor senior managers, oversee training administration, measure impact on FCR/CSAT/NPS, and align programs with enterprise L&D.

Manage and validate payroll tax calculations, filings, and payments; interpret multi-state payroll tax laws; support audits and SOX compliance; produce tax reports; handle escalated payroll inquiries; maintain documentation, controls, vendor relationships, and lead payroll-related projects and year-end tax processing.

Lead end-to-end KYC periodic reviews for higher-risk corporate customers, perform enhanced due diligence, document findings, escalate red flags, collaborate with internal teams, and monitor industry money laundering and fraud trends.

Provide strategic legal support for the Arc blockchain, advising on design, regulatory compliance, and risk management while collaborating with cross-functional teams.

Serve as a Sales Engineer for Armis, delivering technical demos, deploying proof-of-value installations, leading trainings, supporting marketing/events, troubleshooting, developing use cases and prospect documentation, and traveling up to 40%.

Develop and deploy data-driven open banking solutions focusing on affordability/credit decisioning and identity/income verification. Apply end-to-end data science techniques to large datasets, build interactive dashboards with Plotly Dash, run customer trials, collaborate with engineers, and communicate results to stakeholders. Support reproducibility, automation, governance, and knowledge sharing within the Mastercard data science community.

Provide high-quality, bilingual (Spanish) customer service from home: resolve escalations, investigate customer concerns, coach other associates, identify trends, and ensure compliance while meeting service standards.

Provide high-quality customer service for escalations and complex issues, investigate concerns, own resolutions within compliance, coach peers, identify process improvements, and maintain strong attendance and communication while working from a secure home office.

Handle inbound and warm sales leads, consult customers on insurance needs, match coverages to convert leads into policyholders, complete paid training and obtain Property & Casualty license, work scheduled remote shifts, and maintain required work‑from‑home setup and performance metrics.

Lead the EZLynx Personal Lines Rating product roadmap to transform a mature SaaS into an AI-powered platform. Define vision, embed AI capabilities, partner with engineering on AI-driven delivery, prototype features, manage product portfolio and roadmaps, ensure customer feedback informs decisions, and communicate strategic plans and metrics to executives while overseeing operational processes and risks.

Lead new business acquisition and self-generate enterprise pipeline. Engage C-level stakeholders to sell managed cloud, hybrid/private cloud, VMware, AWS, and Azure services. Manage complex, multi-threaded enterprise deals, partner relationships, and cross-functional teams to close recurring revenue contracts and drive territory growth against quota.

Build and deploy AI-powered, LLM-based solutions in client environments: implement integrations, develop production-ready code, support cloud deployments, prepare data and prompts, troubleshoot, and collaborate with client and cross-functional teams while documenting and transferring knowledge to enable sustainable production adoption.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.