채용

Reward & Recognition (Compensation) Lead - 6 Month Fixed Term Contract
London, UK
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On-site
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Contract
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1mo ago
필수 스킬
Machine Learning
Snapshot
We are looking for an ambitious leader to join our Talent, Performance & Reward team. This team transforms complex data into compelling narratives on pay and people. As the Lead, you will operate our core reward heartbeat activities and oversee critical processes that ensure we attract and motivate the world’s best talent.
About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
Your primary focus is to deliver scalable/lasting, efficient, and error-free operational, programmatic, and technical solutions/services that enable and uphold GDMs competitive compensation strategies. Specifically, you’ll drive forward Reward’s reporting/data/insight capabilities that enable the broader team and organization to make effective and strategic reward decisions.
You will have the freedom to rethink how we deliver these processes in partnership with the Reward and Recognition Client Enablement lead, as well as leading a global team of three Reward & Recognition partners and collaborating closely with the Heads of Reward in North America and EMEA. This is a unique opportunity to innovate compensation effectiveness in a fast-paced environment with unique talent challenges.
Key responsibilities
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Team Leadership: Mentor and manage a team of three Specialists, ensuring alignment with strategic goals.
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Ops focus: Drive forward how Reward “works” scalably/efficiently/and in an error-free way via programs, processes, tooling, and data. Land key cyclical compensation planning programs.
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Reporting & Data: Enhance and strengthen Reward’s reporting capabilities, enabling strategic and proactive decision making and stronger insights.
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Strategic Frameworks: Develop and oversee compensation and recognition frameworks for the full Google Deep Mind organizational structure.
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Advisory: Influence and support senior leaders and cross-functional partners with sound, data-backed advice on unique reward challenges.
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Optimization: Continuously evaluate the efficiency of compensation programs, innovating to improve the return on our total rewards investment.
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Strategy: Embody a compensation strategy that ensures competitiveness, particularly in high-demand segments like the AI talent market.
About you
In order to set you up for success as a Reward & Recognition Partner at Google Deep Mind, we look for the following skills and experience::
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6+ years of experience in compensation.
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People Management: You have demonstrated experience managing a Reward team, preferably within a global and/or tech environment.
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Operational Excellence: You have a history of holding end-to-end responsibility for complex Reward programs and driving them to successful outcomes.
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Data & Ambiguity: You can assimilate ambiguous information from varied sources to provide meaningful insights using Google sheets (or equivalent), SQL or other database tools and AI enabled tools.
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Communication: You possess excellent communication skills and the ability to build trust and influence senior leaders.
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AI First: You have strong AI fluency and take an AI First approach to your core work.
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Fast paced environment: You enjoy the energy of a fast-paced team and can manage multiple workstreams without compromising attention to detail.
In addition, the following would be an advantage:
- Experience in a tech company or an environment with unique talent competition.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
At Google Deep Mind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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Google DeepMind 소개

Google DeepMind
AcquiredDeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.
1,001-5,000
직원 수
London
본사 위치
리뷰
3.8
10개 리뷰
워라밸
3.8
보상
4.2
문화
3.5
커리어
4.0
경영진
2.8
68%
친구에게 추천
장점
Smart and brilliant colleagues
Good compensation and benefits
Work flexibility and remote options
단점
Poor management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and goals
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
21-35주
합격률
60%
경험
긍정 60%
보통 40%
부정 0%
면접 과정
1
Application Review
2
Phone Screen/Online Assessment
3
Technical Interview
4
Team Matching Interview
5
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Research Experience
System Design
뉴스 & 버즈
Google Deepmind pioneer David Silver departs to found AI startup, betting LLMs alone won't reach superintelligence - the-decoder.com
Source: the-decoder.com
News
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11w ago
Apple loses more AI researchers, Siri exec to Google and Meta - 9to5Mac
Source: 9to5Mac
News
·
12w ago
Apple Loses More AI Researchers and a Siri Executive in Latest Departures - Bloomberg
Source: Bloomberg
News
·
12w ago
Google DeepMind seeks team lead for growing AI chip design effort - Data Center Dynamics
Source: Data Center Dynamics
News
·
12w ago