
Organizing the world's information and making it universally accessible.
Talent Acquisition Partner, DeepMind
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Drive candidate assessment for potential roles and identify team alignment based on understanding of the organization/function and role profiles and evaluate candidate skills and client needs, screening them for interviews and managing the interview process.
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Partner with key business leaders, recruiting, and hiring stakeholders to build solutions to defined objectives.
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Ensure accurate mapping of job postings to open headcount, identify trends/insights to influence hiring strategy and priorities, assist clients with prioritization of requisitions, reconciliation of headcount, and optimum distribution.
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Develop and execute cross-functional targeted recruiting initiatives to meet established goals and objectives, influence hiring managers on their hiring strategy.
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 and a sense of resourcefulness to all they do. You're responsible for guiding candidates through our hiring process and connecting them to the magic of working at Google. Your creativity and interpersonal skills allow 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.
As a Talent Acquisition Partner, you'll work in partnership with business leaders to improve efforts in attracting and securing outstanding talent required to solve our mission.
Your key responsibilities will be to operate as an autonomous, full-life cycle recruiter driving end-to-end talent acquisition for roles across a number of critical Google Deep Mind teams in EMEA. You'll identify gaps in staffing structure (interview questions, process inefficiencies, rubrics, comp, etc.) and develop solutions that enable the business to seamlessly engage with hiring and our processes. While building strong relationships with key stakeholders, you will operate as a trusted strategic talent advisor. You'll develop and maintain talent acquisition strategies tailored to the EMEA market. Utilizing AI in everyday activities, you'll support creative thinking, efficiency and creating recruitment products which are capable of broader business impact.
Artificial intelligence will be one humanity’s most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
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8 years of experience in technical recruiting.
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5 years of experience recruiting in deep tech, AI/ML, research, or
specialized software engineering domains. -
Experience sourcing, engaging, and closing AI talent.
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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
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Mid/L4 · Accessibility Analyst
1份报告
$214,500
年薪总额
基本工资
$165,000
股票
-
奖金
-
$214,500
$214,500
面试评价
9条评价
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
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