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Recruiter (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Recruiter (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
The expansion of Gigafactory Berlin-Brandenburg marks another defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Deploying extraordinary speed, innovation, and efficiency in manufacturing. To achieve these goals and help us write the next chapter of our success story, we're looking for exceptional talent to enter this journey together.

As a Recruiter, you will get the opportunity to support the hiring ramp-up for one the largest high-tech manufacturing facilities in Europe, contribute with your creative ideas to impactful projects, and be part of an awesome team!

What You'll Do

  • Partnering with Hiring Managers to assess talent needs and provide expertise and guidance around hiring plan and strategy, driving the full end-to-end recruiting cycle
  • Actively using data to shape how you work by knowing how to assess and measure your candidate funnels as well as preparing reporting for your hiring teams
  • Working cross-functionally with different Talent Acquisition and People teams in your region and EMEA
  • Focusing on providing a Best in Class candidate experience at every opportunity
  • Conducting thorough behavioral-based interviews and phone screens to assess both technical ablity as well as skills necessary to be successful in the Tesla environment
  • Advocating for and driving a diverse and inclusive recruitment strategy
  • Sourcing passive candidates through various channels and activities


  • What You'll Bring

  • Excellent written and verbal communication skills in English and German
  • Previous recruiting experience in an agency and/or corporate environment, preferably recruiting for skilled blue collar roles such as mechanics or production workers or engineers
  • A demonstrated track record of excellence in sourcing, assessing, and hiring talent
  • Proven relationship management experience with hiring teams and business partners, taking lead on assessing talent needs and setting hiring plans
  • Proficient with creating reports by leveraging Excel and the ability to adopt and adapt quickly to new technology and systems (digitally savvy)
  • Experience with working in an agile, fast-paced environment where things change very quickly, as well as the ability to adapt to constantly changing/fluctuating targets and business needs
  • Skills in offer negotiation, awareness of pertinent employment legislation, and employment market trends


  • What We Offer

    You will be working in our state-of-the-art Gigafactory, where you’ll solve the world's most interesting problems with the best and brightest people who share a passion for changing the world. Tesla’s compensation package includes a competitive salary and Tesla shares or bonuses. Typical benefits that are offered are a pension programme, 30 vacation days, flexible work arrangements, employee insurances, relocation, and commuting support.

    , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts