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Benefits & Perks
•Professional development budget
•Competitive salary and equity package
•Generous paid time off and holidays
•Team events and activities
•Learning
•Equity
Required Skills
PostgreSQL
Python
JavaScript
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
As an Outcome (SaaS) Customer Engineer, you will drive initial and ongoing business ramp for our Software-as-a-Service (SaaS) customers, clearing blockers and ensuring they get the benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped license agreements into production providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales skill, market knowledge, technical engagement, and technical project management to prove the value of Google Cloud SaaS products.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
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Develop and orchestrate a structured end-to-end deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
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Apply skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
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Drive and track progress of the initial and ongoing ramp of license agreements, moving customers from agreement to consumption as quickly as possible.
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Identify expansion opportunities for new license agreement within the account during project execution.
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Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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6 years of experience with cloud native architecture in a customer-facing or support role.
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Experience in programming languages, debugging or systems design.
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Experience in deployment planning, orchestration, or change management.
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Experience engaging with, and presenting to, technical stakeholders and executive leaders.
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Ability to communicate in Japanese fluently to support client relationship management in this region.
Preferred qualifications
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Experience in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, or security.
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Experience with one or more object-oriented programming languages (I.e., Python or Java).
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Experience working with product and support teams to resolve technical blockers.
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Experience guiding customers through organizational change and delivery preparation to adopt new cloud-powered business processes.
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Experience with development or implementation of AI agents in an enterprise environment.
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Experience with Google Cloud products.
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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
News & Buzz
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