Top Remote Jobs in Provo, UT

The Founding Lead, Strategic Sales will oversee enterprise sales cycles, develop relationships, influence pricing, and build a sales playbook for the company.

The Events Coordinator will organize logistics for in-person events, manage vendor relationships, communicate with stakeholders, and analyze event performance to enhance future initiatives.

The Senior Sales Manager is responsible for day-to-day sales, expanding business with existing clients, and identifying high-impact nonprofit partners to drive adoption of texting and calling solutions.

The Sr. Sales Engineer will drive adoption of Agentic Process Automation through value-based selling, engaging technical and C-Suite stakeholders, showcasing tailored solutions, and fostering strategic relationships while ensuring client satisfaction.

You will own Kovo's lifecycle marketing strategy, optimize existing programs, design event-driven messaging, and integrate AI workflows for better personalization and customer engagement.

As a Lost Assets Specialist, you'll conduct forensic research, engage with claimants, and assist in recovering assets through ethical outreach and documentation support.

The Senior Director of Customer Success at Limber Health will manage large client accounts, drive growth through upselling, and lead a team focused on client satisfaction and success.

The Sales Development Representative will generate outbound pipeline by using intent data, targeting high-value accounts, and executing consultative outreach to technical buyers. Responsibilities include collaborating with AEs, mapping buying committees, and achieving sales targets.

As a Senior Frontend Engineer, you'll build the frontend Graph Semantic Layer with React and TypeScript, developing complex data visualizations and collaborating closely with design and product leadership.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.