Jobs
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Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
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Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
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Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Lead the technical engagement in the solution phase.
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Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
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Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
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Bachelor's degree or equivalent practical experience.
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6 years of experience with cloud native architecture or AI systems in a customer-facing or support role.
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Experience identifying AI use cases to solve customer challenges or selling AI technology.
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Experience engaging with, or presenting to, technical stakeholders or executive leaders.
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Technical expertise to lead workshops, develop prototypes, and conduct demonstrations for 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
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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3d ago
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