채용
Benefits & Perks
•Generous paid time off and holidays
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Flexible work arrangements
•Healthcare
•Flexible Hours
Required Skills
Node.js
JavaScript
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's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
Responsibilities
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Engage and influence key customer stakeholders by leading meetings to uncover marketing goals and Key Performance Indicators (KPIs), translating them into campaign strategies.
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Drive campaign results, quantify business impact, and demonstrate value to customers, maintaining account hygiene.
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Build and pitch data-driven solutions to improve customer value through Google’s advertising solutions, manage objections, and achieve business growth goals.
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Analyze campaign data, ensuring performance is tracked, and deliver results aligned with customer objectives.
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Monitor performance data to extract insights, identify and cultivate opportunities to drive future customer growth and build pipeline.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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2 years of 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 cross-functional and a global organization.
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1 year of experience managing digital marketing and advertising campaigns, projects, and relationships with customers or agencies.
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Experience working with spreadsheets and presentations.
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Understanding of Google Ads products and platform.
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Ability to think and evaluate the needs of clients.
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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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