Top Remote Logistics Jobs in Salt Lake City, UT

Own the full sales cycle for an early-stage AI recruiting platform: prospect, demo, negotiate, close deals, build pipeline, refine outbound strategy with the CEO, represent the company at events, and coordinate handoffs with Customer Success to ensure long-term account health.

Join as a full-stack software engineer to design, build, test, and deploy web applications. Write and debug code across application and data layers, participate in code reviews, and support the full software lifecycle including planning, requirements, QA, and documentation while collaborating with product and design teams.

The Machine Learning Engineer will design, build, and maintain scalable ML systems, optimize ML pipelines, implement MLOps, and collaborate with teams to deploy models into real-time products.

Develop and validate surveillance, clinical, and research datasets using SAS and R. Identify and resolve data discrepancies, create codebooks and data management plans, perform geospatial and molecular HIV analyses, collaborate on code development, and support dissemination and reporting to federal and external partners.

Design and evolve AI-enabled applications and system architecture for logistics workflows. Define where AI provides value, create data models, integrate vendor APIs, guide incremental shipping, and ensure usability and scalable engineering practices across product and platform.

The Account Manager will oversee daily operations for Government Agency clients, ensuring satisfaction, managing logistics, and expanding service offerings to meet client needs effectively.

Serve as the primary customer contact to ensure satisfaction and success: onboard customers, drive product adoption, identify upsell/cross-sell opportunities, manage renewals, gather and analyze feedback, collaborate with sales and product teams, and travel for system installations.

The Technical Product Manager will manage complex blockchain products, drive product roadmaps, collaborate with engineering and design teams, and focus on user needs and product metrics.

Own end-to-end onboarding and activation for new B2B SaaS customers, driving time-to-first-purchase and GMV within 60–90 days by project-managing implementations, removing friction, collaborating cross-functionally, building scalable playbooks, and measuring activation metrics.

Lead the creation and operation of a Customer Success function to drive onboarding, adoption, retention, and expansion. Build playbooks, instrument CS metrics (TTV, NRR, health score, churn), manage tiered engagement models, present business reviews to executives, maintain knowledge resources, and coordinate with Product, Support, and Sales to reduce churn and grow customer revenue.