채용
Benefits & Perks
•Parental leave
•Flexible work arrangements
•Professional development budget
•Team events and activities
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Parental Leave
•Flexible Hours
•Learning
•Healthcare
Required Skills
Node.js
React
PostgreSQL
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a SaaS Outcome Customer Engineer (OCE), you will drive initial and ongoing business growth ramp for our Software-as-a-Service (SaaS) customers, clearing blockers and ensuring they get the maximum benefit from their investment. You will manage and execute the deployment plan, transitioning scoped license agreements into production by 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, adoption, and future expansion opportunities.
You will blend business expertise, market knowledge, direct 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 cutting-edge 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, deployment plan across customer and partner teams, on-boarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
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Employ 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.
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Identify expansion opportunities for new license agreements 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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10 years of experience with cloud native architecture in a customer-facing or support role.
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Experience in deployment planning, orchestration, or change management.
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Experience in programming languages, debugging, or systems design.
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Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.
Preferred qualifications
- Experience in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations or Security.
- Experience with end user AI Platforms, ISV SaaS solutions, identity management (e.g. SSO, SAML), and security compliance.
- Experience with development and implementation of AI agents in an enterprise environment.
- Experience guiding multiple customers through the organizational change and delivery preparation to adopt new, cloud-powered business processes.
- Experience with Google Cloud products.
- Experience working with product and support teams.
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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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