Top Senior Level Logistics Jobs in Minneapolis–Saint Paul, MN

As a Staff AI Engineer, you will design and implement AI-powered automation for internal departments, manage the full project lifecycle, and enhance various processes across CargoSprint, focusing on business impact and collaboration.

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.

Design, build, maintain, and improve core product features, work with customers on logistics needs, take ownership of projects, and utilize AI tools for development.

As a Senior Software Engineer, you will design and implement AI technologies to address complex logistics challenges and mentor team members.

Identify business opportunities in IP&E power supply, develop relationships with customers, and provide technical power solutions to support revenue growth.

Lead development and improvement of a production iOS app used by tens of thousands. Own architecture, UI, networking, local persistence, and automated tests. Collaborate with Android and backend teams, diagnose async and device-specific issues, use Xcode Instruments, CI, and crash/analytics tooling, and drive product-minded technical decisions.

Lead onboarding for high-value, complex SaaS clients by designing scalable processes, managing enterprise implementations, building executive relationships, coordinating cross-functional teams, mitigating risk, tracking onboarding KPIs, and mentoring onboarding staff to deliver rapid time-to-value.

Lead nationwide disaster recovery and survivor assistance programs (IA, DCMP, housing recovery). Manage staffing, budgets, schedules, compliance with FEMA and federal grant rules, stakeholder engagement, reporting, and program performance. Provide technical guidance, audit-ready documentation, and support business development and proposal efforts.

Build and evolve GoodShip's internal platform to improve developer experience, CI/CD, IaC, observability, data reliability, and automation. Partner with engineering teams to define SLIs/SLOs, implement monitoring and alerting, eliminate bottlenecks, and scale platform operations to enable fast, reliable software delivery.

Lead enterprise adoption of Microsoft Copilot, Copilot Studio, and Power Platform by analyzing business processes, designing AI agents, building ROI-backed automation roadmaps, delivering training and prompt engineering best practices, and measuring utilization and productivity improvements across functions.