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

Identify and evaluate AI opportunities by analyzing large healthcare datasets, assessing value vs. feasibility, uncovering inefficiencies, and translating insights into actionable recommendations. Collaborate with stakeholders to prioritize use cases, contribute to AI project roadmaps and design specifications, and present findings to operational and technical audiences to drive implementation and ROI.

Manage investor/client servicing relationships for mortgage loan portfolios: gather and document requirements, perform loan data analysis, coordinate QC with investors, support transfers and change management, create presentations, and recommend process improvements while ensuring compliance and high data confidentiality.

Implement and configure Workday Quote-to-Cash processes including quoting, contracts, billing, revenue recognition, integrations with Financials and PSA, testing, and post-implementation support.

Implement, configure, and support Workday Supply Chain Management modules; analyze processes, recommend improvements, and support testing, deployment, and enhancements.

Lead or support end-to-end Workday HCM implementations: gather requirements, configure core HCM functions, test and deploy, integrate with other systems, provide training and post-launch support, and advise clients on HR process improvements and ongoing optimization.

Lead a four-person marketing team across events, community, product marketing, Linux marketing, and PR. Own strategy, budgeting, and operations (60%) while remaining hands-on in product marketing (40%) for GTM messaging, media review cycles, and coordination with product, supply chain, and logistics. Remote US role with occasional travel for review cycles and events.

Lead Provider Enablement operations overseeing support, training, communications, and self-service for Interwell Acumen. Own strategy and execution to drive onboarding, adoption, NPS, SLAs, and KPIs. Build operating rhythms, Voice of Customer programs, and cross-functional initiatives with Product, Implementations, and Epic teams. Champion generative AI to scale enablement, reduce support volume, and improve outcomes. Manage and develop a provider enablement team; travel up to 20% for customer and internal meetings.

Serve as a customer-facing technical advisor for Databricks on Azure, designing and deploying secure, scalable enterprise architectures, building PoCs, automating infrastructure with IaC, and supporting pre/post-sales technical engagements while sharing knowledge through tutorials and community contributions.

Lead end-to-end technical strategy and architecture for accounts, drive Databricks platform adoption, design scalable data and ML/streaming solutions, advise senior technical stakeholders, coordinate cross-functional teams, influence product direction, and support production deployments on public cloud.

The Emerging Enterprise Sales Leader will oversee a team focused on selling to the Emerging Enterprise Segment, driving revenue success, building strategic plans, and developing long-term customer relationships.

Prospect and build early-stage pipeline within federal and state & local government organizations. Navigate complex org structures, engage stakeholders, align Handshake solutions to government budgets and hiring priorities, and collaborate with account executives to drive awareness and opportunities for early talent recruitment.

Lead design and delivery of scalable, cloud-native healthcare systems and real-time data pipelines. Architect event-driven, batch/stream hybrid solutions, integrate clinical data standards, optimize performance and costs, mentor engineers, and collaborate with product and stakeholders to deploy resilient, compliant services.

Lead and coach an Enterprise Sales team focused on recruitment advertising; drive revenue, hire and train reps, improve sales processes, forecast using Salesforce, and build relationships with internal stakeholders and large enterprise clients. Requires frequent travel and remote team management.

Lead development and deployment of cutting-edge ML models for pricing, design and analyze experiments, collaborate with product and engineering, present findings to stakeholders, and lead technical projects to influence team output and business metrics.