채용
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 Software as a Service (SaaS) Outcome Customer Engineer (OCE), you will drive the onboarding and adoption of our Google Cloud SaaS products, clearing blockers and ensuring the customers get the maximum benefit from their investment faster. 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, higher adoption, and future expansion opportunities.
You will blend sales 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, end-to-end AI deployment plan across customer and partner teams, clearing architectural blockers, and ensuring organizational readiness for a successful launch.
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Execute deep technical unblocking for key workloads, including writing enterprise grade code, debugging complex Gemini Enterprise and third party IT solutions, and architecting end-to-end enterprise AI solutions.
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Drive and track the rapid activation of Gemini Enterprise licenses, moving customers to active consumption by executing 'ramp plans', ensuring quick transitions from basic adoption to advanced AI-assisted workflows.
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Identify opportunities to expand the AI footprint within the account. During execution, you will spot new high-value use cases - such as complex reasoning tasks or multi-modal agents - that drive cross-functional adoption and justify new license agreements.
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Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract 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
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Experience communicating complex technical concepts effectively to both technical and non-technical audiences, including executive stakeholders.
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Experience in one or more of the following areas: infrastructure modernization, application modernization, data management, data analytics, Cloud AI, networking, migrations or security.
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Experience developing applications with AI features and capabilities, using proprietary or open models and frameworks, including prompt and context engineering, and external systems integration.
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Experience in technical project management for Cloud and AI workloads, including production deployment planning, orchestration, and change management.
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Experience developing, documenting, and communicating, enterprise architecture and end-to-end solutions which span multiple technology and organisational domains.
총 조회수
2
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
3.7
25개 리뷰
워라밸
3.8
보상
4.2
문화
3.4
커리어
3.9
경영진
2.8
68%
친구에게 추천
장점
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
단점
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
연봉 정보
62,163개 데이터
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0개 리포트
$176,704
총 연봉
기본급
-
주식
-
보너스
-
$150,298
$203,110
면접 경험
9개 면접
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%
보통 56%
부정 44%
면접 과정
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
뉴스 & 버즈
Google data center project in the works for Putnam County - journal-news.net
journal-news.net
News
·
1w ago
Google's AI isn't losing, it's just hiding the best features where nobody looks - XDA
XDA
News
·
1w ago
Google AI compression technology saves data center energy - Mashable
Mashable
News
·
1w ago
Fact Check: Did White House Phone Number Show ‘Epstein Island’ on Android Devices? Here’s What Happened as Google Fixed the Glitch - The Sunday Guardian
The Sunday Guardian
News
·
1w ago