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Mobile Vehicle Technician, Miranda

Tesla

Mobile Vehicle Technician, Miranda

Tesla

Miranda, New South Wales

·

On-site

·

Full-time

·

Today

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What To Expect
As a Tesla Mobile Vehicle Technician you'll be responsible for upholding Tesla's exceptional Service standards. In this role, you will be responsible for delivering an impeccable service experience to each and every Tesla customer while preparing to meet the needs of our Model S, Model X, Model 3 customers and beyond. This role will be a hands on technical role that will see the workshop numbers scale as we get more products in market.

What You'll Do

  • Our Service team must deliver excellent results and achieve goals quarter after quarter, month after month, on all aspects of customers, people, operations, and financials
  • Customer focused: Our customers are changing the world, and it is your responsibility to exceed their expectations of what a service experience should be. We expect you to go above and beyond for our customers
  • People: Our Technicians set the example. We expect you to put the team's success before your own, and actively push yourself growth and development with the team. You and the team will set the standard for open communication, active problem solving, and a positive work environment
  • Operational excellence: As a Technician, you form an integral part of the Service team and the customer experience. If our Technicians don't operate effectively, the Service Center doesn't
  • Our Service team acts in the best interest of Tesla at all times. You must have a passion for our mission, our people, and our customers
  • Technical acumen is required – you must develop a knowledge of all Tesla products, as well as Service systems, processes, and procedures


  • What You'll Bring

  • Educational experience: Qualified motor mechanic, Registered Vehicle Technician
  • Minimum 2-3 years' experience as a Registered Vehicle Technician
  • Knowledge of methods, techniques, parts, tools and materials used in the maintenance and repair of vehicle including testing, diagnosis, HVAC service, hydraulic, brakes, testing and repair of electronic systems and modules
  • Knowledge and experience using diagnostic scan tools, following diagnostics and operating scopes
  • Hybrid Experience a bonus
  • Valid driver's license and insurance required
  • HVAC Licensing a bonus
  • Good verbal English capabilities
  • Occasional travel will be required both interstate and international
  • Self starter with a team player attitude is a must
  • Love to change the status quo and work well in high-pressure situations
  • Be strategic and proactive. You must think and plan ahead to ensure you execute well.
  • Be self-aware, flexible and open-minded. You are in a start-up environment
  • Possess a rare combination of analytical thinking, hands-on problem solving, and a customer-service mindset
  • Be an advocate for your customers and your team. Your success depends on theirs
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    모의 지원자 수

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    3.1

    5개 리뷰

    워라밸

    1.5

    보상

    1.2

    문화

    1.3

    커리어

    1.8

    경영진

    1.1

    15%

    친구에게 추천

    장점

    Strong financial performance

    Revenue growth

    Company achieving targets

    단점

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    연봉 정보

    1,397개 데이터

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2개 리포트

    $94,875

    총 연봉

    기본급

    $82,500

    주식

    -

    보너스

    -

    $92,000

    $97,750

    면접 경험

    4개 면접

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts