Program Manager, Logistics and Inventory Management Specialist

Google

Google is a global technology company that designs and operates sophisticated data centers worldwide.

Dublin, Ireland

DevOps

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

Description For Program Manager, Logistics and Inventory Management Specialist

Google is seeking a Program Manager specializing in Logistics and Inventory Management to join their Data Center team. This role is crucial for maintaining efficient inventory management across EMEA and APAC data centers. The position involves overseeing critical component inventory levels, developing strategies, and working with third-party logistics partners to ensure seamless data center operations.

The ideal candidate will bring 5 years of experience in supply chain operations and warehouse management, with a strong background in inventory control and third-party logistics relationships. They should possess a bachelor's degree in a relevant field and be willing to travel up to 30% of the time.

As part of Google's Data Center team, you'll work with sophisticated electrical and HVAC systems in a diverse and creative environment. The role offers the opportunity to impact Google's global infrastructure while working with cross-functional teams across different time zones and regions.

Google emphasizes building a diverse and inclusive workplace, offering equal opportunities for all candidates. They're looking for someone who can apply structured thinking, understand complex warehouse processes, and drive operational excellence through inventory metrics and KPIs.

The position combines strategic planning with hands-on inventory management, requiring both technical expertise and leadership skills. You'll be responsible for preventing stockouts, optimizing inventory levels, and ensuring the continuous availability of essential equipment for data center operations.

Working at Google means joining a company that values innovation, diversity, and problem-solving on a global scale. The role offers the chance to contribute to maintaining and improving the infrastructure that powers Google's services worldwide, while working with some of the most sophisticated data center systems in the industry.

Last updated 3 months ago

Responsibilities For Program Manager, Logistics and Inventory Management Specialist

Oversee and manage inventory levels, ensure accuracy and optimal stock levels to meet customer demand
Monitor inventory movement and analyze trends to identify opportunities for improvement
Understand the data center critical components and their impact on operational continuity
Develop an inventory strategy for data center operations and drive the Third-party lab (3PL) teams
Managing inventory across data centers in EMEA and APAC, understanding regional nuances and logistical complexities

Requirements For Program Manager, Logistics and Inventory Management Specialist

Bachelor's degree in Business, Operations, Engineering, a related field, or equivalent practical experience
5 years of experience managing warehousing and supply chain operations
5 years of experience working with, supervising, and managing third party logistics relationships
5 years of experience in supply chain, materials, and inventory management
Ability to travel up to 30% of the time as required
Certification in Project Management or CSCMP (preferred)
Experience of working with Warehouse Management Systems (WMS) (preferred)
Experience in quality control, inventory management, safety, and security (preferred)
Understanding of warehouse processes (preferred)
Ability to apply structured thinking and logic to work (preferred)

Benefits For Program Manager, Logistics and Inventory Management Specialist

Equal opportunity employer
Accommodation for special needs

Google

Google is a global technology company that designs and operates sophisticated data centers worldwide.

Dublin, Ireland

DevOps

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

Google

Find the length of the longest strictly increasing subsequence in an array of integers. Describe your approach and its complexity, considering edge cases. Provide examples to illustrate your solution. How would the approach handle edge cases such as an empty array, or an array with only one element, impacting complexity and efficiency of the approach taken? What is the time and space complexity of your solution? Provide the results for the sample arrays `[1, 3, 2, 4, 5]` and `[10, 9, 2, 5, 3, 7, 101, 18]` to ensure proper functionality of your function, by returning 4 in both test cases. This will ensure a good understanding of increasing subsequences in a sequence of numbers in an array, while testing for a well-defined approach that is efficient to use with a variety of test data sets. This showcases proficiency in algorithmic thinking and problem-solving skills by handling an array of integers to find the longest length of a strictly increasing subsequence while addressing edge cases that may arise from the sample data set used in this test case. It shows a deep understanding of the problem, as well as the ability to articulate, plan and design a proper solution to provide the right output for each test case provided in this simulated scenario. This emphasizes the importance of code quality and readability, alongside accuracy of the algorithm to assess for proficiency in the related subject matter of programming and computer science principles that are essential for the role being assessed during this interview process. This would ensure your approach is robust and adaptable to different datasets, showcasing a solid understanding of data structures and algorithms and best practices for writing clean and efficient code for software development tasks that require these skills on the job daily in a multitude of projects throughout different teams as well as departments that handle data sets of different formats for various software being implemented across platforms where these are deployed for specific functions that relate to them to facilitate the development process for various user needs and requirements in the long run over the years in the industry with current trends using similar coding techniques at this stage or level of sophistication regarding different paradigms applicable here according to what can be adopted as far as current resources permit at any given point along the timeline for improvements that are needed in relation with available funds at the moment etcetera, to keep things viable for longer-term sustainability within market forces at this juncture given whatever competing forces might impact profitability.

Data Structures & AlgorithmsHard

Let's simulate a coding interview scenario. I'd like you to solve a problem and articulate your thought process as you go. Imagine you're given an array of integers. Your task is to write a function that finds the length of the longest strictly increasing subsequence in that array. A strictly increasing subsequence is a sequence of numbers from the array such that each number is greater than the previous one, and their original order in the array is maintained. For example, in the array [1, 3, 2, 4, 5], one possible increasing subsequence is [1, 2, 4, 5], and the longest increasing subsequence is [1, 2, 4, 5], which has a length of 4. Another possible increasing subsequence is [1, 3, 4, 5] which has length of 4. Your function should return 4 in this case. Another example is [10, 9, 2, 5, 3, 7, 101, 18]. The longest increasing subsequence is [2, 3, 7, 18], which has a length of 4. Your function should return 4. Can you describe your approach and then implement the function? Consider edge cases, like an empty array or an array with only one element. How would your approach handle those? What is the time and space complexity of your solution?

Arrays

Dynamic Programming

Google

How would you design a web proxy?

System DesignMedium

Let's design a web proxy. Consider the following requirements: Basic Functionality: The proxy should be able to forward HTTP and HTTPS requests from clients to web servers and return the responses. Caching: Implement caching to reduce latency and bandwidth usage for frequently accessed resources. How would you handle cache invalidation? Security: The proxy should support HTTPS and protect client data. How would you handle SSL/TLS certificates? Scalability: The proxy should be able to handle a large number of concurrent connections. What architectural choices would you make to ensure scalability? Authentication: Implement basic authentication (username/password) to control access to certain websites. Logging: Log requests and responses for debugging and monitoring purposes. What information should be logged, and how would you manage log files? Blocking: Implement the functionality to block access to certain websites based on a blacklist. Discuss the architecture, components, and algorithms involved in building such a web proxy. Include considerations for performance, security, and maintainability. Provide example scenarios and solutions to potential challenges.

Arrays

Strings

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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