Logistics Manager, Robotics Support Operations

Posted 5 Days Ago
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Mountain View, CA
In-Office
130K-191K Annually
Senior level
Artificial Intelligence
The Role
Manage the global shipping pipeline, ensuring compliance and efficiency. Foster partnerships, optimize logistics processes, and oversee inventory management.
Summary Generated by Built In
Snapshot

Join the Workplace, Innovations & Experience Team as a Logistics Manager accelerating Google DeepMind’s access to mission-critical assets. You will be the trusted expert, responsible for the end-to-end management of the global shipping pipeline, balancing the critical priorities of maximum velocity, international compliance, and operational efficiency. Your primary focus is translating GDM's ambitious procurement needs into seamless logistics execution.

This role requires a proactive and hands-on professional who applies deep trade expertise and project management principles to mitigate risks, unblock bottlenecks, and drive continuous process improvements across the logistics lifecycle, ultimately ensuring GDM remains at the forefront of pioneering developments.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

As the Logistics / Operations Manager, your primary role will be to ensure assets procured by the business are shipped with maximum velocity, and within internal / external legal and compliance frameworks. You will act as a partner between the Robotics team requiring shipping, and Google’s centralised Logistics, Legal, and Compliance teams.

The core purpose of this role is to accelerate the shipping pipeline by proactively managing the end-to-end logistics process. This spans from understanding shipping requirements and producing accurate shipping documentation through to timely final delivery. You will apply project management principles to, at times, coordinate large, multi-shipment initiatives, which may cross various jurisdictions. 

Where pain points or bottlenecks are identified, you will work to unblock these, driving continuous improvement through change management. Your success will directly ensure the GDM business maintains its velocity and remains at the forefront of pioneering developments.

A natural growth area for this role will be to oversee and manage inventory, as this will enable a clear pipeline for the logistics workload. 

Key responsibilities
  • Drive the end-to-end logistics pipeline, ensuring maximum delivery velocity and adherence to internal Google policies and external customs / legal frameworks.
  • Act as the primary liaison, fostering high-value partnerships between GDM and centralised Google partner teams to translate business needs into actionable logistics plans.
  • Serve as the subject matter expert on shipping requirements, advising internal stakeholders on how geopolitical shifts and regulatory changes—such as new US tariffs—will impact supply chain strategy and costs.
  • Working cross-functionally to ensure logistics feasibility is integrated into early-stage planning decisions.
  • Apply project management principles to coordinate complex, multi-shipment programs and initiatives (e.g. worldwide shipping for conferences), ensuring alignment across cross-functional teams to meet mission-critical deadlines.
  • Drive continuous improvement across the Robotics logistics lifecycle, identifying and executing process improvements to mitigate bottlenecks.
  • Lead the dissemination of post-project learnings and operational metrics, providing stakeholders with the data visibility required to identify trends and optimize future logistics planning.
About you

You are a proactive, hands-on logistics professional who thrives on managing global shipping pipelines and ensuring mission-critical assets move with precision and speed. You excel in a highly cross-functional environment, acting as a bridge between ambitious internal teams and centralised partners.

To set you up for success as the Logistics Manager, we look for the following skills and experience:

  • Extensive experience in managing sizeable programs across a variety of operating environments, with the proven skill to navigate through ambiguity and adjust and adapt program strategies as conditions change
  • Extensive experience partnering with senior stakeholders, adapting approach to stakeholder preferences and navigating conflicting priorities
  • Strong communicator, able to develop meaningful relationships with key partners and use these to influence action and outcomes
  • A solution-focused mindset, with the proven ability to identify pain points and drive sustainable process improvements that enhance operational efficiency
  • Naturally curious and enjoy working across a large range of different subjects with ease, quickly gaining the knowledge you need to be effective
  • Passionate about our mission, proactive about learning and acquiring knowledge to enhance your experience

The following are also preferable:

  • Experience in end-to-end logistics management, trade compliance, or a related supply chain role, preferably within a fast-paced technology or research environment
  • Able to demonstrate proficiency in all core logistics aspects, including Incoterm negotiations and shipping documentation, while having a practical understanding of trade compliance frameworks (e.g. export/import licensing, ATA Carnets), and understanding the various roles of all parties within the logistics workflow (ie. customs brokers, security etc)
  • Leverage a passion for AI and emerging technologies to identify innovative applications within the logistics lifecycle, piloting tools that drive automation, accuracy, and efficiency

The US base salary range for this full-time position is between $130,000 - $191,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Top Skills

AI
Machine Learning
Project Management Tools
Supply Chain Management Software
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The Company
1,218 Employees
Year Founded: 2010

What We Do

We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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