トレンド企業

Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Senior Recruiter - Amsterdam

職種採用
経験シニア級
勤務地Amsterdam, Noord-holland, Netherlands
勤務オンサイト
雇用正社員
掲載今日
応募する
What To Expect
Our EMEA Recruiting team at Tesla is currently looking for a highly motivated Senior Recruiter to be based in Amsterdam. The ideal candidate has already gained some experience recruiting both for high volume and Engineering roles and is committed to finding the very best talent. When you’re doing something nobody has ever done before, the old ways can frequently come up short. At Tesla, you’ll get the opportunity to be creative, to try, to fail, to learn and to succeed. You will have an appetite for risk, for taking that big bet, because that’s how we leap ahead together.

This role is expected to work 1-2 days per week from our Tilburg factory.

What You'll Do

  • Partner with hiring managers to assess talent needs and provide expertise and guidance around hiring plan and strategy, driving the full end to end cycle
  • Set and manage expectations on the recruiting timeline with hiring manager, proactively addressing potential issues and bringing solutions
  • Use data to assess and measure candidate funnel, recruiting performance and talent market
  • Prepare and present weekly reports to the Management/ Stakeholders
  • Actively monitor and optimize recruiting funnel using a variety of techniques to discover and attract the best passive talent
  • Be an advocate for and drive a diverse and inclusive recruitment strategy
  • Conduct thorough behavioral based interviews and phone screens to assess both technical baseline as well as skills to be successful in the Tesla environment
  • Focus on providing a fantastic candidate experience at every opportunity, continuously looking for ways for us to do even better
  • Provide training to hiring managers and stakeholders on recruitment processes and skills


  • What You'll Bring

  • Track record of excellence in sourcing, assessing and hiring both high volume and Engineering talent (ideally within the manufacturing environment)
  • Proven relationship management experience with hiring teams and business partners, taking lead on assessing talent needs and setting hiring plans
  • A genuine passion for recruiting as a craft and the desire to continuously learn and grow in your role
  • Digitally savvy - ability to adopt and adapt quickly to new technology and systems
  • Performs well in an agile, fast-paced environment where things change very quickly
  • Ability to adapt to constantly changing/fluctuating targets and business needs
  • Skills in offer negotiation, awareness of pertinent employment legislation and employment market trends
  • Excellent communication skills, both verbal and written


  • , Tesla

    閲覧数

    0

    応募クリック

    0

    Mock Apply

    0

    スクラップ

    0

    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    10件のレビュー

    3.8

    10件のレビュー

    ワークライフバランス

    2.3

    報酬

    4.0

    企業文化

    3.2

    キャリア

    4.1

    経営陣

    2.8

    65%

    知人への推奨率

    良い点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    改善点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    給与レンジ

    1,403件のデータ

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2件のレポート

    $94,875

    年収総額

    基本給

    $82,500

    ストック

    -

    ボーナス

    -

    $92,000

    $97,750

    面接レビュー

    レビュー4件

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts