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

Leads payer back-office strategy, technology, and operations consulting engagements for health services clients. Responsibilities include modernizing payer operations, optimizing processes, analyzing business data, managing change, improving service delivery models, coaching teams, engaging stakeholders, and validating quality and compliance outcomes. The role leads large projects and develops strategic recommendations for operational excellence.

Leads consulting engagements focused on product development and manufacturing transformation. Diagnoses lifecycle bottlenecks, improves cost, quality, speed to market, lean processes, supply chain integration, and digital operations. Manages client workstreams, teams, budgets, deliverables, and risks while coaching junior staff. Develops client recommendations involving product strategy, roadmaps, positioning, and go-to-market planning, and applies analytics, AI, and emerging technologies to improve operational performance.

Supports operations consulting engagements focused on product development and manufacturing excellence. Analyzes workflows, identifies bottlenecks, develops strategy and transformation deliverables, documents operating models, interprets operational data, and supports lean manufacturing and supply chain integration. Builds client relationships, coordinates workstreams, guides junior team members, and applies product lifecycle management, AI fluency, and process improvement methods to improve speed to market, cost performance, and product quality.

Manages, investigates, and resolves complex high-severity personal property claims. Responsibilities include determining coverage, inspecting and valuing damaged or lost contents, explaining settlements, coordinating vendors, negotiating scopes and estimates, monitoring vendor performance, and providing policyholder service. The specialist may also conduct field inspections, assist other claims teams, and serve as a technical resource for contents specialists.

Underwrites, reviews, and negotiates syndicated, commercial, leveraged, and private credit loans. Responsibilities include due diligence, financial analysis, enterprise valuation modeling, risk grading, credit memo preparation, credit committee presentations, portfolio monitoring, covenant testing, and maintaining compliant loan documentation. The role also develops credit policies, manages internal and external relationships, supports strategic initiatives, and travels to lender meetings as needed.

Provides remote supervision and compliance support for annuity and insurance sales activities across branch offices. Monitors transactions, analyzes controls and risk trends, supports regulatory adherence, trains branch personnel, resolves escalated issues, and recommends process and technology improvements. The role collaborates with financial advisors, branch managers, regional leadership, and other business units while maintaining required FINRA and insurance licensing.

Leads Toast’s analytics engineering function, owning enterprise data architecture, modeling strategy, analytics-layer development, and AI-ready semantic-layer vision. Builds and manages a team of analytics engineers, establishes roadmaps, partners with data engineering and business leaders, and drives scalable, governed data solutions across domains. Requires expertise in data modeling, dbt, SQL, stakeholder alignment, and people leadership.

Own growth initiatives across Toast’s Guest products, beginning with onboarding and activation. Build tools that capture restaurant context, reduce human dependency, accelerate time-to-value, and drive campaign adoption and retention. Partner cross-functionally with engineering, design, operations, onboarding, and product teams to identify high-impact opportunities, instrument funnels, and run experiments. The role involves AI-native product development using agents, LLMs, and structured knowledge stores.

Build and operate enterprise-grade backend microservices, data pipelines, integrations, and internal tools for finance automation. Productionize AI and agentic workflows, design event-driven systems across billing, ERP, Salesforce, and data platforms, and develop lightweight operator UIs. Own technical strategy, architecture, reliability, auditability, permissions, and enterprise controls including SOX and PCI requirements. Collaborate with Finance, Security, Compliance, and Audit teams to deliver scalable automation solutions.

Develop new business through outbound prospecting, recommend payment solutions, negotiate and close sales, identify upsell opportunities, achieve monthly targets, collaborate with Marketing, and maintain knowledge of payment products and pricing. The role includes customer interaction, CRM usage, ongoing training, industry conferences, and travel of up to 30%.

Manage lifecycle marketing campaign execution across email, SMS, push, and in-app channels. Build audiences, segments, triggers, suppressions, and campaign assets in marketing automation platforms, particularly Braze. Own deployment, approvals, testing, quality assurance, reporting, and optimization while collaborating with strategists, analysts, engineers, project managers, and stakeholders.

Manage and grow a portfolio of local advertising clients by prospecting, building relationships, and achieving revenue targets. Develop data-informed, cross-platform media strategies across linear TV, streaming, and digital channels. Present proposals, execute campaigns, track performance, maintain forecasts and pipelines, optimize outcomes using attribution insights, and resolve client challenges through consultative selling. Requires flexible scheduling, including nights, weekends, and overtime.

Manage customer onboarding, implementation, device connectivity, troubleshooting, product training, adoption, account health, retention, and expansion. Serve as a trusted customer advisor, resolve issues cross-functionally, lead proactive customer conversations, and communicate insights that improve products and processes.

Owns the vision, roadmap, requirements, and optimization of Mastercard Open Finance data provider products, including metadata, APIs, data assets, and management capabilities. Partners with Engineering, Data Quality, Sales, and Product teams to improve connectivity, data quality, provider experience, and operational efficiency. Analyzes datasets and market opportunities to develop insights, innovative products, and commercial opportunities for financial institutions.