Manager, Global Technology - Americas Capabilities

Expeditors•Bellevue, WA

10h•$164,000 - $246,000•Onsite

About The Position

The Manager, Global Technology owns measurable business and operational outcomes for technology capabilities supporting the Americas region, including Resolution Management, Post Entry Management, and GNS & Inbond Workflows. The role leads modernization, reduces technology complexity, promotes agentic AI development practices, and ensures delivery of reliable, scalable solutions that create measurable value for stakeholders. The position leads a geographically distributed engineering team spanning multiple countries, offices, and time zones. The team evolves business-critical technology capabilities with a focus on modernization, enterprise alignment, automation, operational excellence, and AI-assisted development. The manager partners with engineering, architecture, product, security, operations, infrastructure, and business stakeholders. This is an on-site position at an approved Expeditors office location in the United States. Candidates must be located near or willing to relocate to an approved office; relocation assistance is not offered. The position is full time, 40 hours per week, Monday through Friday. Applicants must be eligible to work lawfully in the U.S. immediately; the employer will not transfer or sponsor U.S. work authorization.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or an equivalent combination of education and experience.
Experience in software engineering, technology delivery, or a related technical discipline, including direct people management experience.
Experience delivering and supporting business-critical applications or workflow-based capabilities.
Experience modernizing applications, managing technical debt and operational risk, and transitioning legacy technologies.
Experience leading teams across multiple locations or time zones.
Experience defining and measuring business or operational outcomes delivered through technology.
Experience leading technology teams, technical initiatives, products, platforms, or services.
Experience leading delivery of AI or automation capabilities into production.
Strong leadership, communication, stakeholder management, planning, problem-solving, and organizational skills.
Must be eligible to lawfully work in the U.S. immediately; the employer will not transfer or sponsor applicants for U.S. work authorization.

Nice To Haves

Experience leading delivery of agentic AI capabilities, including tool use, orchestration, human-in-the-loop approval, evaluation, and auditability.
Experience driving adoption of AI-assisted development practices across an engineering team.
Experience with Agentic AI development processes and practices.
Knowledge of freight forwarding, logistics, or Americas business workflows.
Experience supporting accounting, customs, transportation, logistics, or comparable operational capabilities.
Experience with workflow automation, enterprise integrations, APIs, or distributed applications.
Experience supporting and modernizing solutions across multiple programming languages, frameworks, databases, cloud technologies, and deployment models.
Relevant certifications in agile delivery, IT service management, cloud architecture, AI, or customs and trade compliance.

Responsibilities

Lead and develop a geographically distributed engineering team, fostering accountability, collaboration, continuous learning, and career growth.
Drive hiring, onboarding, coaching, knowledge sharing, team development, and succession planning.
Own delivery outcomes for Americas technology capabilities, ensuring reliable execution, operational excellence, and measurable business value.
Modernize and evolve assigned capabilities while reducing operational friction, legacy dependencies, technical debt, and technology complexity.
Provide technical leadership, participate in design and code reviews, and ensure solutions align with engineering principles, enterprise standards, architectural direction, and business objectives.
Drive adoption of AI-assisted development practices and engineering excellence across the software delivery lifecycle.
Lead modernization, enterprise alignment, transition, and retirement strategies for current and future technology capabilities.
Deliver agentic capabilities with appropriate guardrails, human oversight, evaluation, auditability, and measurable business outcomes.
Partner across engineering, architecture, product, operations, infrastructure, and business teams to align priorities and improve delivery outcomes.
Resolve dependencies and obstacles while promoting shared ownership, transparency, and effective cross-functional execution.
Communicate plans, progress, risks, and outcomes to stakeholders, fostering trust and collaboration.
Champion modernization, operational excellence, and emerging technologies that improve customer and business outcomes.
Translate organizational priorities into actionable goals, roadmaps, and execution plans for assigned capabilities.
Identify opportunities to improve team effectiveness, customer experience, operational performance, and business value delivery.
Align capability strategy and engineering investments with stakeholder needs, business priorities, and long-term organizational objectives.