Logistics Manager, DeepMind

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Drive end-to-end logistics pipelines to ensure maximum delivery velocity while maintaining strict compliance with internal Google policies and external customs and legal frameworks.

Act as the primary liaison between GDM and centralized Google partner teams, translating complex business needs into actionable logistics plans.

Serve as a subject matter expert on shipping requirements, advising internal stakeholders on how geopolitical shifts and regulatory changes - such as international tariffs - will impact supply chain strategy and costs.

Lead complex, multi-shipment programs by applying project management principles to align cross-functional teams and ensure mission-critical deadlines are met.

Drive continuous improvement by identifying bottlenecks and analyzing post-project metrics to provide data-driven insights that optimize future logistics operations and planning.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.

5 years of experience in international logistics management, trade compliance, or global supply chain operations.

2 years of experience coordinating multi-jurisdictional shipping programs or multi-shipment corporate initiatives cross-functionally.

Experience in managing international customs documentation frameworks, freight broker coordination, and incoterms applications.

Preferred qualifications:

6 years of experience managing global logistics pipelines within a fast-paced technology, hardware engineering, or advanced research environment.

Familiarity or interest in leveraging automated tools or AI applications to drive pipeline accuracy and efficiency.

Familiarity with trade operational instruments such as ATA Carnets, import/export licensing rules, and security frameworks.

Track record of partnering with executive stakeholders to navigate conflicting execution priorities across complex organizational matrixes.