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职位Tesla

Recruitment Lead

Tesla

Recruitment Lead

Tesla

Tokyo, Tokyo

·

On-site

·

Full-time

·

Today

ポジションの魅力
At Tesla, the Recruiter does more than fill roles — you’ll drive our talent strategy and connect our mission with the people who will bring it to life.

We don’t just hire for skills; we seek those who believe in a sustainable future and are ready to help change the world.

As a Recruiter entrusted with this important mission, you will work on the front lines to uncover top global talent, build high-performing teams, and accelerate the realization of Tesla’s goals.

Are you ready to be the one who discovers the changemakers of the future?
Position Description
The Recruiter at Tesla Japan is a talent strategist who connects top professionals with Tesla’s mission-driven teams, driving impactful hiring outcomes and supporting long-term growth.

Responsibilities

  • Act as a talent advisor to internal stakeholders, leveraging deep recruiting expertise to provide strategic recommendations on talent acquisition, including:
  • Designing effective sourcing strategies
  • Candidate evaluation methodologies
  • Driving data-informed hiring decisions
  • Manage end-to-end recruitment processes, ensuring timely and transparent communication with both hiring teams and candidates.
  • Effectively convey Tesla’s mission, values, and business operations to potential talent.
  • Evaluate candidates through a combination of technical and behavioral interview techniques, and apply non-traditional methods to identify top-tier talent.
  • Actively listen during candidate interactions, demonstrate strong negotiation skills, and maintain continuous engagement with candidates throughout the hiring journey, bringing creativity and initiative to the process.
  • Provide regular written and verbal updates on recruitment projects and pipeline status to hiring managers and leadership.
  • Deliver concise candidate evaluation summaries and recommendations.
  • Perform other duties as assigned by management based on evolving business needs.


  • Requirements
    【必須(MUST)】

  • Bachelor’s degree or higher. 10+ years of recruitment experience, preferably in fast-paced environments with evolving business and product demands.
  • Fluency in English, both written and spoken.
  • Strong proficiency in both traditional and modern sourcing channels
  • Proven ability to build strong relationships with key decision-makers and influencers across the organization.


  • 【歓迎(WANT)】

  • Resonated with Tesla’s startup culture and possess an entrepreneurial mindset.
  • Demonstrated success in high-volume hiring for roles requiring strong technical and interpersonal skills.
  • Advanced understanding of organizational dynamics and experience navigating complex, matrixed environments.
  • Strong self-discipline and the ability to learn independently and continuously improve.
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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    3.8

    10条评价

    工作生活平衡

    2.2

    薪酬

    3.8

    企业文化

    3.5

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐给朋友

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,398个数据点

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2份报告

    $131,560

    年薪总额

    基本工资

    $114,400

    股票

    -

    奖金

    -

    $131,560

    $131,560

    面试经验

    4次面试

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts