Top Remote Jobs in Provo, UT

The Microsoft DevOps Engineer manages Windows application environments, ensures compliance with security protocols, automates processes, and maintains infrastructure for enterprise websites, requiring 10 years of IT experience and strong Windows/.NET skills.

As a Senior Backend Engineer at Yendo, you'll collaborate with engineers, product managers, and designers to enhance product offerings and operational efficiency, while continuously improving engineering practices.

The Sales Executive will generate leads, build relationships, and close deals in the employee benefits sector while ensuring a high level of client satisfaction and achieving sales goals.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Freelance CRM Campaign Manager to build, launch, and optimize email campaigns and automated workflows in Salesforce and HubSpot. Manage segmentation, QA, scheduling, track performance, report results, recommend optimizations, and collaborate with internal teams.

The Account Executive will close deals from inbound sources, manage the sales cycle, handle upsells, and collaborate across departments while applying a consultative sales approach.

Territory-based Brand Development Manager responsible for driving sell-in, sell-through, and market share across independent and Specialized retail, developing retailer relationships and networks, executing product launches and merchandising, integrating online and in-store channels, reporting activity in Salesforce, and representing the brand at events and trade shows.

Lead a newly unified sales organization to drive growth and market leadership in Transportation Management Systems, managing complex sales deals and processes.

The Account Executive will build the sales function, drive revenue growth, manage client relationships, and leverage product-led growth strategies.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure data quality, and modernize ETL processes to support the analytics platform.