採用
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Provide technical leadership and set the vision for the Partner Network Program & Incentives, Sales Compensation, and Consulting domains within GCBP, aligning with Google Cloud's overall strategy.
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Lead, build, and mentor a high-performing, geographically distributed engineering team, promoting a culture of innovation and engineering excellence, and inclusivity.
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Design and lead a multi-year technical roadmap, balancing short-term execution with long-term technology investments, including the strategic use of AI and agentic workflows.
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Oversee software development, driving architecture selection, software design, execution, and operations to build resilient, scalable, and secure systems.
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Ensure the team follows technical best practices, advocating for engineering excellence across your organization.
The Google Cloud Business Platform (GCBP) team's primary objective is to scale the Google Cloud business by providing the infrastructure services and trusted platform for key business processes, unlocking commercial flexibility, streamlining transaction flows with AI, and scaling systems for evolving cloud patterns. This role will lead the engineering teams dedicated to building and managing the critical systems that drive Partner Network Program & Incentives, Sales Compensation, and Consulting. These domains are pivotal to Google Cloud’s expansion: they cultivate a robust partner ecosystem to extend market reach, empower the sales organization through streamlined compensation planning and execution, and provide the essential infrastructure for delivering expert consulting services to our global customers.
As an Engineering Director in the GCBP organization, you will be a senior technical leader responsible for guiding geographically distributed teams that build highly scalable, resilient, and secure platforms for Partner Network Program & Incentives, Sales Compensation, and Consulting.
You will be tasked with defining, developing, and executing the technical strategy for these critical components of the Google Cloud Business, specifically by transforming these workflows through an AI-first approach that moves from data to contextual insights and autonomous execution. You will be instrumental in ensuring system readiness for strategic initiatives like the integration of the Wiz acquisition, particularly concerning Sales Compensation. Close collaboration with cross-functional counterparts in Sales, Partners, Finance, and Customer Success is essential to drive impactful, data-driven results.
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.
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Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
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15 years of experience in software engineering.
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10 years of people management experience leading technical teams, including managing other managers.
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Experience in designing large-scale distributed systems with microservice-based architecture.
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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
Senior/L5
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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3d ago
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3d ago