채용
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Develop and orchestrate a structured, AI deployment plan across customer and partner teams, clearing architectural blockers, and ensuring organizational readiness for the launch.
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Execute technical unblocking for key workloads, including writing enterprise grade code, debugging Gemini enterprise and third-party IT solutions, and architecting enterprise AI solutions.
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Drive and track the 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 use cases such as 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 agreement renewals.
As an Outcome Customer Engineer, you will combine the technical expertise with an ability to lead the execution of enterprise AI workloads from proof-of-concept to production. You will be working on the Gemini enterprise engagements, forward-deployed to unblock and accelerate customer adoption and sustained usage with direct impact on customer business outcomes and Google Cloud business. You will create, manage, and execute the deployment plan, transitioning Gemini Enterprise license agreements into production workloads by providing technical leadership to customers and partners. You will have a direct impact on the consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend business prowess, market knowledge, technical expertise, and technical project management to prove the value of Google Cloud products.
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Bachelor's degree in Computer Science, a related technical field, 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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5 years of experience in designing, building, and deploying technical solutions.
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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, and presenting to, technical stakeholders and executive leaders.
총 조회수
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모의 지원자 수
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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
57,502개 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
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2d ago
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