Jobs
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Collect requirements, provide guidance, and best practices to apply to ad products and technologies.
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Be responsible for scoping and designing series of solutions and best practices at a global level to be reused by customers, sellers, partners.
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Leverage skills to adapt existing bespoke ads solutions created by regional teams into globally accessible solutions that can support thousands of customers.
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Own the solution life cycle from discovery, to launch, managing maintenance bugs and feature requests, as well as deprecation for a portfolio of solutions. Provide the product expertise in the ads space, disseminating key information, initiatives and best practices.
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Liaise and coordinate with partner and cross-functional Google teams to prioritize and execute demand across Large Customer Sales (LCS), ensuring synergy across teams.
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Bachelor's degree or equivalent practical experience.
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3 years of experience troubleshooting technical issues for internal or external partners or customers.
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Experience in either system design or reading code (e.g., Java, C++, Python).
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work-life balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
57,502 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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