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

Leads operational communications and support for the Claims team, managing shared inboxes, ServiceNow intake, request triage, stakeholder coordination, issue tracking, escalations, reporting, and recurring operational meetings. Maintains support documentation, templates, procedures, and service standards while identifying process improvements and ensuring partner inquiries and issues are tracked through resolution. Collaborates with CMS stakeholders, contractors, Product, Engineering, and leadership in a remote-first healthcare technology environment.

Enterprise Account Executive responsible for generating pipeline and managing full-cycle sales for TrackAbout’s asset-tracking software. The role targets global enterprise customers in industrial and process manufacturing sectors, requiring prospecting, consultative discovery, demonstrations, business-case development, negotiation, and closing complex multinational deals. The position also coordinates with partners, supports post-sale handoffs and expansion, maintains Salesforce pipeline data, and travels internationally up to 40%.

Build and optimize high-throughput Java backend systems processing hundreds of millions of contact profiles. Design scalable solutions for entity resolution, data quality, attribute selection, and contact publication. Develop testing frameworks and rules for fragmented data, collaborate with data scientists and engineering teams, and contribute to architecture, performance, scalability, and technical strategy across the Person Data platform.

Supervises resolution of high-risk mortgage loan cases and complex customer disputes. Performs root-cause analysis, manages escalated issues, coordinates across departments, handles inbound and outbound customer communications, ensures regulatory compliance, protects customer information, and identifies ways to prevent recurring complaints. Provides guidance and training to others while working as an individual contributor.

Business Analyst supporting a Department of Veterans Affairs project by gathering and analyzing requirements, creating user stories and acceptance criteria, managing product backlog priorities, supporting sprint planning and UAT, documenting business processes, and collaborating with stakeholders, developers, testers, and product owners. The role also analyzes process improvements, oversees validation efforts, maintains project documentation, and promotes Agile best practices in a SAFe environment.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Manage inbound phone leads from prospective life insurance customers, explain insurance concepts, guide applicants through the application process, and deliver a consultative customer experience. Collaborate with sales teammates to resolve complex issues, meet KPI-driven performance goals, and improve sales results through coaching and ongoing development. The role is remote, with some evening and weekend availability required.

As a Salesforce Business Applications Analyst, you'll lead Salesforce initiatives, configure features, and ensure effective integration to support business processes. You'll collaborate with stakeholders and manage the project lifecycle for GTM solutions within Salesforce.

Supports customer billing, invoicing, accounts receivable, cash application, deferred revenue, reconciliations, journal entries, commissions, and month-end reporting. Maintains billing schedules and pricing updates in accordance with U.S. GAAP and ASC 606. Investigates billing discrepancies, prepares revenue and variance analyses, supports collections and audits, and reconciles Sage Intacct with source systems. The role requires a bachelor's degree and 2–4 years of progressive accounting experience.

Staff Data Scientist responsible for owning ambiguous, high-impact product and business problems; designing experiments; analyzing product data; developing analytical tools and frameworks; partnering with product, engineering, design, and leadership; and mentoring data scientists. The role requires advanced statistical expertise, strong product judgment, production programming experience, and the ability to translate complex analyses into strategic recommendations.