招聘
About the job
Google's known for our innovative technologies, products and services -- and for the people behind them. As part of our recruiting team, you're charged with finding the most interesting candidates who bring an entrepreneurial spirit to all they do. You're responsible for guiding candidates through our hiring process and connecting them to the magic of working at Google. You are creative and driven, which allows you to develop lasting relationships with both candidates and hiring managers. You're also comfortable with numbers and drawing insights from analytics to make our hiring process smarter and more efficient.
Great just isn't good enough for our People Operations team (known elsewhere as "Human Resources"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field.
The US base salary range for this full-time position is $165,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Oversee global delivery and headcount management for 2 key sub-product areas within Google Cloud Platform.
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Manage a team of IC recruiters responsible for work distribution, hiring efficiencies, and developing delivery capabilities.
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Collaborate across GCP and broader Cloud Tech Recruiting ecosystem to ensure we are forward thinking and advancing our partcipant edge in the AI market and evolving with the demands of the fast-paced environment.
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Provide stakeholder management with partners across Pops to ensure alignment to our organization OKRs and collaborative initiatives ensuring cohesion in how we deliver talent.
Minimum qualifications
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8 years of experience in full-cycle recruiting in an agency or corporate setting.
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3 years of experience in people management, supervision, or a team leadership role.
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3 years of experience managing multiple stakeholders.
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2 years of experience in an analytical environment, working with business intelligence, data, or strategy.
Preferred qualifications
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Experience in AI hiring, particularly GenAI skillsets, with an understanding of Google's hiring landscape and current external market.
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Experience in sourcing and attracting niche skillsets in an engaged market.
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Experience working with executive leaders, and managing stakeholders.
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Ability to innovate and scale hiring processes, building teams in a fast-paced, global environment.
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Excellent communication and people management skills, with proven ability to collaborate effectively across multiple regions.
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Excellent problem-solving and data-driven decision-making skills with a proactive approach to solving issues.
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Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
新闻动态
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