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Top Tech Jobs & Startup Jobs in Salt Lake City, UT
Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Own end-to-end sourcing and procurement activities, including RFx processes, spend analysis, benchmarking, bid evaluations, and vendor recommendations. Manage Claims vendor relationships, performance scorecards, stewardship meetings, escalations, onboarding documentation, contract compliance, and billing reviews. Support negotiations, cost optimization, audit coordination, and defense counsel panel oversight while producing accurate, leadership-ready outputs independently.
Security • Software • Cybersecurity • Automation
Own the full-cycle commercial B2B SaaS sales process, from prospecting and pipeline generation through closing new business. Build territory and account strategies, conduct consultative discovery, deliver tailored software demonstrations, manage qualification and forecasting, and engage executive stakeholders. The role requires quota attainment, self-sourced pipeline generation, strong communication, and experience selling in startup or growth-stage environments. Familiarity with MEDDPICC, MEDDICC, SPICED, or similar sales methodologies is preferred.
Top Skills:
B2B Saas
Cloud • Information Technology • Security • Software • Cybersecurity
Leads complex, cross-functional Customer Success programs from strategy through execution and operational adoption. Establishes governance, charters, metrics, milestones, accountability, and risk management across Professional Services, Technical Success, and Support. Uses data-driven analysis to assess program health, guide course corrections, and provide executive-ready reporting. The role also supports AI-driven solutions and enterprise software implementation in a remote Customer Success PMO environment.
Top Skills:
Ai/MlEnterprise Software PlatformsSaaS
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.
Top Skills:
Ai ToolsData Visualization PlatformsSaaSSQL
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead and grow an enterprise sales team selling AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. Responsibilities include recruiting, coaching, forecasting, quota attainment, pipeline management, strategic deal support, onboarding, performance improvement, and leadership reporting. The role partners with Marketing, Product, and Customer Success to shape demand generation and messaging while driving consultative sales methodology across the team.
Top Skills:
Artificial IntelligenceSaaSSalesforce
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AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.
Top Skills:
ExcelExcel MacrosPowerPointPythonSASSQLTableauVBA
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.
Top Skills:
Batch ProcessingDeep Neural NetworksMachine LearningMachine Learning PipelinesReal-Time ProcessingRecommendation Systems
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.
Top Skills:
Amazon BedrockAmazon Web Services (Aws)Ci/CdClaude CodeCursorDockerKubernetesLarge Language Models (Llms)MicroservicesNumpyPandasPythonPyTorchScikit-LearnVertex Ai
Healthtech • Social Impact • Software • Telehealth
Own a Midwest healthcare sales territory, sourcing prospects through outbound phone and digital outreach, managing full-cycle deals, closing healthcare providers, and building ongoing account relationships. After 90 days, the associate conducts field meetings and manages accounts within a 2.5-hour radius of a major Midwest metro hub. The role requires quota-carrying sales experience, cold-calling expertise, CRM proficiency, reliable transportation, and residence in an approved target market.
Top Skills:
CRMSalesforce
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Leads the strategy, architecture, implementation, and evolution of enterprise analytics platforms. Responsibilities include designing scalable data platforms, integrating digital and enterprise data, establishing governance and security standards, optimizing analytics and BI capabilities, evaluating cloud technologies, managing platform performance and risks, and mentoring technical teams. The role also requires close collaboration with executives, clients, Product, Engineering, Data Science, Marketing, and business stakeholders.
Top Skills:
APIsAWSAzureCcpaData ModelingEtl/EltGCPGdprLookerPower BITableau
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