Product Manager II, Core Data

Google

Google organizes the world's information and makes it universally accessible to users through innovative technology products.

San Francisco, CA, USA

$142,000 - $211,000

Data

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

Description For Product Manager II, Core Data

Google's Core Data organization within Core Systems is seeking a Product Manager II to help build their next generation data infrastructure. This role is crucial in developing solutions that power Google's 1P products, with deep roots in Search and Ads. The position requires a strategic thinker who can bridge technical and business worlds, working closely with cross-functional teams to guide products from conception to launch.

The role offers an opportunity to impact millions of users daily by contributing to Google's core systems that enable developers across the company to quickly scale new products and features. The ideal candidate will have a strong background in product management, technical expertise, and proven experience in launching successful products.

As a Product Manager II, you'll be responsible for understanding market dynamics, driving product development, and collaborating with various teams including engineering, marketing, legal, and UX. The position offers competitive compensation including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits.

Google provides an inclusive work environment and is committed to building a diverse workforce. The role is based in Sunnyvale, CA, offering the chance to work at one of the world's leading tech companies while contributing to products that organize and make information universally accessible.

The position requires 5 years of product management experience and 2 years of product launch experience. Preferred qualifications include advanced degrees, business function experience, and technical leadership background. This role is perfect for someone who thrives in a collaborative environment and is passionate about developing innovative technical solutions that impact global users.

Last updated 3 months ago

Responsibilities For Product Manager II, Core Data

Understand markets, competition, and user requirements in depth
Launch new products and features, test their performance, and iterate quickly
Work collaboratively with engineering, marketing, legal, UX, and other teams on cutting edge technologies
Develop solutions to problems by collaborating as needed across regions, product areas, and functions

Requirements For Product Manager II, Core Data

Bachelor's degree or equivalent practical experience
5 years of experience in product management or related technical role
2 years of experience taking technical products from conception to launch
Master's degree or PhD in a technology or business related field (preferred)
3 years of experience in a business function or role (preferred)
2 years of experience in software development or engineering (preferred)
2 years of experience working cross-functionally (preferred)
1 year of experience in technical leadership (preferred)

Benefits For Product Manager II, Core Data

Medical Insurance

401k

Parental Leave

Bonus
Equity
Benefits package

Google

Google organizes the world's information and makes it universally accessible to users through innovative technology products.

San Francisco, CA, USA

$142,000 - $211,000

Data

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ 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

Design a URL shortening system.

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Assume that we need to handle a large number of requests, say billions of URLs per day. Consider the following: Functional Requirements: The system should generate a shorter, unique alias for a given URL. Users should be able to enter a shortened URL and be redirected to the original URL. The shortened URLs should be relatively short. Non-Functional Requirements: The system should be highly available. URL redirection should be as fast as possible. The shortened URLs should be unique. The system should be scalable to handle a large number of URLs and requests. Considerations: How would you design the data model to store the mappings between shortened and original URLs? What algorithms would you use to generate the shortened URLs? Consider the trade-offs between different algorithms. How would you handle collisions (when the same shortened URL is generated for two different original URLs)? What kind of database would you use and why? How would you handle the high volume of traffic and ensure low latency for redirection? Consider caching strategies. How would you scale the system to handle future growth? Walk me through your design, explaining your choices and the rationale behind them. Include diagrams and specific technologies where appropriate. Explain how you would ensure the system meets the requirements for availability, performance, and scalability.

Database Problems

Arrays

Strings

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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