Global Manufacturing Partner Manager

Google

Google is a leading global technology company that builds innovative products and services used by billions of people.

Sunnyvale, CA, USA

$126,000 - $181,000

Hardware

Mid-Level Software Engineer

In-Person

5,000+ Employees

4+ years of experience

Enterprise SaaS

Description For Global Manufacturing Partner Manager

Google's Technical Infrastructure team is seeking a Global Manufacturing Partner Manager to play a crucial role in managing relationships with Contract Manufacturers (CM) and Original Device Manufacturing (ODM) partners. This position focuses on New Product Introduction (NPI) and involves close collaboration with Product Development teams and Engineers to ensure suppliers meet cost and schedule commitments. The role encompasses development of systems and products in specific categories like Machine Learning, compute, networking, and storage.

As a key relationship owner, you'll lead cross-functional projects, handle complex supply chain challenges, and drive continuous improvement. You'll be responsible for negotiating agreements, managing CM relationships, and owning sourcing deliverables for assigned programs. The position is part of the technical supply chain team that ensures operational excellence supporting Google's growth.

The Technical Infrastructure team is fundamental to Google's product portfolio, maintaining data centers and building next-generation platforms. We pride ourselves on being engineers' engineers, focusing on keeping networks running optimally for the best user experience. This role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits.

The ideal candidate will bring strong technical expertise, supplier management experience, and the ability to develop strategic sourcing strategies. You'll work in a dynamic environment where you'll impact Google's hardware infrastructure while collaborating with various stakeholders across Hardware, Manufacturing, and Test Engineering functions.

Last updated 5 days ago

Responsibilities For Global Manufacturing Partner Manager

Develop category sourcing strategies in a given product vertical and understand the technical roadmap and industry trends that impact long-term needs
Define cost drivers, develop cost models, and establish cost analysis
Lead Request for Proposal (RFP), negotiate agreements, and the supplier selection process
Manage supplier relationships and performance in alignment with technology, cost, quality, and delivery drivers
Partner closely with stakeholders in Hardware, Manufacturing, and Test Engineering functions

Requirements For Global Manufacturing Partner Manager

Bachelor's degree in a technical/engineering field or equivalent practical experience
4 years of experience in supplier management or sourcing
Experience with supplier management in the compute, storage, networking, or data center infrastructure space

Benefits For Global Manufacturing Partner Manager

Medical Insurance

Equity

401k

Medical Insurance
Equity
401k

Google

Google is a leading global technology company that builds innovative products and services used by billions of people.

Sunnyvale, CA, USA

$126,000 - $181,000

Hardware

Mid-Level Software Engineer

In-Person

5,000+ Employees

4+ years of experience

Enterprise SaaS

Google

How would you sort an unsorted array of integers in ascending order using the merge sort algorithm, without using built-in sorting functions? Explain merge sort, its implementation, efficiency and how it can be modified for descending order or implemented iteratively.

Data Structures & AlgorithmsHard

Given an unsorted array of integers, write a function to sort the array in ascending order using the merge sort algorithm. Explanation of Merge Sort:** Briefly explain the merge sort algorithm, highlighting its divide-and-conquer approach. Implementation:** Provide a step-by-step implementation of the merge sort algorithm. This includes: A mergeSort function that recursively divides the array into smaller subarrays. A merge function that merges two sorted subarrays into a single sorted array. Example:** Input array: [38, 27, 43, 3, 9, 82, 10] Expected output: [3, 9, 10, 27, 38, 43, 82] Efficiency:** Discuss the time and space complexity of merge sort. Why is merge sort considered an efficient sorting algorithm? How does it compare to other sorting algorithms like bubble sort or quicksort in terms of performance (best, average, and worst-case scenarios)? Constraints:** You are not allowed to use built-in sorting functions. The array can contain positive and negative integers. The solution must be implemented in a language of your choice (e.g., Python, Java, C++). Follow-up:** How would you modify the merge sort algorithm to sort the array in descending order? Could you implement an iterative version of merge sort instead of the recursive one? What are the trade-offs?

Arrays

Recursion

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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