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About the job
Google Cloud is a recognized market leader in Artificial Intelligence (AI) Infrastructure which is a result of Google Cloud Platform's (GCP’s) goal of delivering innovation and leading AI infrastructure products for the customers.
In this role, you will be responsible to drive business growth for Google Cloud in the Nordics region with AI Infrastructure partnerships and customer engagements across GCP’s Go-to-Market (GTM) segments and verticals. You will collaborate across field sales, AI Infrastructure tech specialists, capacity, product, engineering and finance to develop and grow AI Infrastructure partnerships and operate at the C-level internally and externally.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
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Drive AI Infrastructure business growth for Google Cloud through new, expanded or accelerated AI Infrastructure partnerships and customer engagements across GCP’s GTM segments.
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Lead Google Cloud’s AI Infrastructure agreement cycles with a customer-first mindset and excellent ownership and accountability skills for the success of the partnership.
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Drive commercial best-practices and profitability for GCP’s AI Infrastructure in collaboration with the finance, product, capacity and the leadership teams.
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Develop and implement regional/industry specific Go-to-Market strategies with the AI Infrastructure team and cross-functional collaboration.
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Establish relationships with GCP’s AI Infrastructure customers and collaborate in direction.
Minimum qualifications
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Bachelor's degree in Business Administration, Economics or Computer Science or equivalent practical experience.
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12 years of experience in enterprise tech/cloud sales, management consulting or partner management, business development and strategy.
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Experience with artificial intelligence (AI), Generative AI/GenAI workloads, AI training, AI inference, AI infrastructure, MLOps, NVIDIA GPUs, or TPUs.
Preferred qualifications
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Experience working across multiple organizations to drive initiatives to resolution.
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Experience in business development, consulting or strategic sales in the technology industry, promoting Platform-as-a-Service (PaaS) or Infrastructure-as-a-Service (IaaS).
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Knowledge of AI Natives and emerging Generative AI industry tech stack.
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Knowledge of GCP’s AI Infrastructure and agreement cycles.
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Ability to maintain operational excellence in a changing work environment with excellent communications skills.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
3.7
25件のレビュー
ワークライフバランス
3.8
報酬
4.2
企業文化
3.4
キャリア
3.9
経営陣
2.8
68%
友人に勧める
良い点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
改善点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
給与レンジ
57,502件のデータ
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
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Staff/L6
Director
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接体験
9件の面接
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
ニュース&話題
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4d ago