Top Senior Level Jobs in Salt Lake City, UT

As Engineering Manager, lead AI/ML infrastructure development, guide team through technical challenges, ensure safety in AI applications, and mentor engineers in a dynamic environment.

The GIS Consultant, Senior Associate leads GIS applications solutions, analyzes complex problems, mentors team members, and builds client relationships while maintaining high standards in deliverables.

The Principal Technology Commercial Banking Relationship Manager leads complex loan management and develops client-specific solutions in the Technology sector while mentoring colleagues and supporting business development initiatives.

The Senior Patient Care Coordinator manages clinic operations, patient scheduling, insurance verification, and quality measures while leading process improvements in patient care delivery.

The Staff Engineer will design and implement fraud detection systems, build internal tools for Trust & Safety, mentor team members, and enhance payment integrity while collaborating with various stakeholders.

The Senior Manager, Operations Enablement oversees member safety initiatives, driving operational efficiency and strategy, while leading a team to enhance member experiences and ensure compliance with regulatory standards.

The Senior Manager leads marketing strategy for enterprise clients, creating compelling narratives, sales enablement content, and managing competitive intelligence while collaborating across departments.

Lead investor relations activities supporting the VP and CFO: engage sell-side and buy-side, develop valuation models and investment narrative, prepare earnings and investor materials, build IR reporting infrastructure, liaise cross-functionally, and contribute to IR AI strategy while handling dynamic, ad-hoc demands.

Drive new business sales revenue by developing relationships with key stakeholders in the public sector, promoting ServiceNow's AI platform, and achieving sales targets.

The Lead Product Manager will define the product strategy for AI/ML features, collaborating with engineering to deliver innovative solutions, enhancing user experiences, and bridging research with production while making critical decisions in ambiguous situations.