Top Logistics Jobs in Tampa Bay, FL

Provide day-to-day support and administration for Acumatica and integrated systems, manage WMS floor operations, build reports and Generic Inquiries, troubleshoot integrations and hardware, escalate to vendors, produce documentation, and train staff to improve processes and automation.

Generate top-of-funnel pipeline through high-volume outbound (phone, email, LinkedIn, field), qualify decision-makers, book demos for Account Executives, manage CRM activity, and iterate messaging to convert conversations into opportunities.

The Manager, Cloud and Data will lead a team to build and maintain scalable data infrastructure for autonomous vehicle technology, mentoring team members and managing day-to-day operations.

Power & Tel seeks expressions of interest for future opportunities in procurement, sales, and material management within telecommunications. Emphasis on community, values, and employee experience.

As a Logistics Product Manager, you'll design and optimize delivery workflows, act as a liaison between customers and teams, manage high-impact implementations, and influence product roadmaps to enhance customer satisfaction and delivery performance.

Senior .NET Web App Developer responsible for designing and building .NET web applications, implementing Oracle PL/SQL solutions, using Entity Framework and Blazor, applying design principles, producing technical documentation, performing performance tuning, and collaborating in Scrum/Agile teams with Bitbucket, JIRA, Tempo, and Confluence.

Develop and grow new and existing wholesale distributor accounts through prospecting, cold calling, customer relationship management, order entry, site surveys, and meeting sales targets and budgets.

Lead onboarding, adoption, and support for courier customers; troubleshoot workflows; analyze customer data for churn risks; surface product feedback; identify expansion opportunities; build scalable CS processes and documentation while collaborating with product, sales, and engineering.

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.

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.