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Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•401(k) matching
•Equity
•Healthcare
•Parental Leave
Required Skills
PostgreSQL
React
TypeScript
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 Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
Responsibilities
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Manage and develop trusted relationships with clients and help them achieve business goals.
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Contribute to the the team performance by consistently delivering against quarterly sales targets.
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Create and craft pitches to customers tailored to clients’ performance goals, and work towards mutual business objectives.
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Find and implement creative ways to improve our client relationships, share performance-enhanced suggestions and promote Google products.
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Produce interpretable insights from data analysis, deliver data-driven strategic and tactical recommendations to customers.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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2 years of experience in advertising sales and strategy, marketing, consulting, or media.
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Ability to communicate in English and Polish fluently to support client
relationship management in this region.
Preferred qualifications
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Experience in new business sales and business analysis.
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Experience collaborating with cross-functional international teams and managing stakeholders (internal and external facing).
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Experience with managing and customising experience for a customer base.
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Ability to multi-task and manage multiple projects at a time while paying strict attention to detail.
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Ability to be proactive, independent, and lead, motivate and work well with others.
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Ability to think strategically to develop business recommendations, action plans, as well as ideas on improving internal processes, with excellent problem-solving skills.
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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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