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Benefits & Perks
•Competitive salary and equity package
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Flexible work arrangements
•Equity
•Healthcare
•Flexible Hours
Required Skills
PostgreSQL
TypeScript
React
About the job
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Responsibilities
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Build and manage relationships with clients, and develop an understanding of their business challenges, marketing objectives, and success metrics.
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Work with internal and external stakeholders to ensure workflows and projects are completed on time and meet quality standards.
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Plan for and achieve business growth targets through the presentation of Google advertising products and solutions that will help clients meet their marketing objectives.
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Develop forward thinking, data-driven analyses and consultative recommendations that align with customer goals, and quantify impact opportunities with clear recommendations to present to customers.
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Build a knowledge of how Google Advertising products work and can be used to help meet a wide range of marketing objectives.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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2 years of experience in advertising, consultative sales, business development, online media environment, or marketing role.
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Ability to communicate in English and Mandarin fluently to support client relationship management in this region.
Preferred qualifications
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Master's degree in a business related field.
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2 years of experience working in a complex, matrixed organization.
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Experience in managing digital marketing and advertising campaigns, projects, and relationships with customers or agencies.
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Understanding of Google Ads products and platform.
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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
63,375 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 / 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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