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채용Tesla

Customer Experience Specialist, Sales (Part-Time) - Bromley

Tesla

Customer Experience Specialist, Sales (Part-Time) - Bromley

Tesla

Bromley, England

·

On-site

·

Part-time

·

Today

필수 스킬

Customer Service

What To Expect
As a Sales Customer Experience Specialist at Tesla, you will be the face of our brand, responsible for engaging with potential customers, capturing leads, and guiding them through a seamless sales journey. As a crucial member of our dynamic team, you will play a pivotal role in shaping the success of our business by creating meaningful connections and driving sales growth through effective lead generation strategies.

You are driven by the mission of Tesla to accelerate the world’s transition to sustainable energy. You are part of a larger sales and delivery team who works closely and flexibly on all tasks. You are expected to cooperate frequently and display a one-team mentality to achieve sales and delivery targets.

What You'll Do

  • Proactively engage with customers visiting the store or events to identify potential leads, creating a pipeline of prospects through active interaction and data capture.
  • Provide exceptional customer service by understanding customer needs, answering their questions and objections, and selling potential leads on the test drive experience, ensuring a positive and memorable experience.
  • Execute successful lead capture strategies during events, ensuring maximum engagement and conversion opportunities.
  • Efficiently manage and organize captured lead data, maintaining accuracy and completeness in CRM systems. Regularly update customer profiles with relevant information obtained during interactions.
  • Build value for customers, understanding their requirements, presenting our vehicles, and effectively communicate the value proposition to drive conversion.
  • Collaborate with sales teams, and other relevant departments to align strategies, share insights, and contribute to the overall improvement of the lead capture, sales processes, and product proposition.
  • Maintain a positive and professional attitude at all times, providing an excellent customer experience that is reflective of Tesla's values.


  • What You'll Bring

  • Excellent interpersonal skills with a natural ability to build rapport and engage with customers.
  • Strong knowledge of Tesla's products, including vehicles, solar panels, and energy storage solutions.
  • Ability to communicate information in an easy-to-understand manner.
  • Proven track record of delivering excellent customer experiences.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Flexibility to work on weekends and evenings as required.
  • A passion for Tesla's mission to accelerate the world's transition to sustainable energy.
  • Full UK driving licence held for 2 years and over.
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    총 지원 클릭 수

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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

    3.8

    10개 리뷰

    워라밸

    2.2

    보상

    3.8

    문화

    3.5

    커리어

    4.1

    경영진

    2.8

    65%

    친구에게 추천

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,398개 데이터

    Mid/L4

    Mid/L4 · Advisor

    307개 리포트

    $114,472

    총 연봉

    기본급

    $83,039

    주식

    $19,666

    보너스

    $11,766

    $66,393

    $209,483

    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