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

Part-time remote internship supporting the Email Automation team: transfer and code email copy into templates, maintain templates, perform QA, run semi-weekly A/B tests and data tracking, and assist with organizational and cross-functional email operations.

The Software Engineer Intern will develop and maintain full-stack applications, collaborating with various teams to build features for Clerkie Fiber, a B2B CRM.

The Senior Manager of Enterprise Business Systems oversees the strategy, implementation, and optimization of enterprise applications, leading a team for full lifecycle management, ensuring system delivery, and fostering cross-functional collaboration.

Provide execution-focused PR support across multiple client accounts: draft bylines, pitches, press releases, and social content; build and maintain targeted media lists and databases; coordinate media outreach, interviews, and project logistics; monitor coverage and maintain trackers; research journalists, trends, and story angles; and keep projects on schedule to free senior account managers for strategic work.

The Pricing Specialist will analyze cost data, prepare cost proposals, and support compliance needs in government contract pricing, collaborating with internal teams.

The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.

Drive new business growth across financial institutions, managing enterprise sales cycles, building relationships with decision-makers, and representing Addition Wealth at industry events.

Manage end-to-end success for a portfolio of non-enterprise healthcare customers: drive adoption, troubleshoot complex data and platform issues, run trainings and implementations, coordinate cross-functional teams, develop customer roadmaps, and support renewals while ensuring data quality and security compliance.

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.