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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Tesla Support Specialist, Roadside Support - Spanish & Portuguese Speaker (Full Time/Part time)

RoleTech Support
LevelMid Level
LocationAmsterdam, Noord-holland, Netherlands
WorkOn-site
TypeFull-time
PostedToday
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Required skills

Customer Service

What To Expect
Do you want to help accelerate the world’s transition to sustainable energy? At Tesla, that’s our mission. As a Tesla Roadside Support Specialist, your role will be to guide our existing customers at their most vulnerable time; when their car has broken down – you are the one to support them and create a memorable and best in class experience.

What You'll Do

  • Diagnose: You will evaluate, diagnose, review and resolve the needs of customers
  • Root Cause Analysis: The time you will spend on one or multiple related customer cases will vary. You will work together with the Service centers to capture learnings from previous roadside incidents in an effort to streamline and prioritize roadside cases to reduce the costs of towing/rental cars and offer smoother interactions for our customers
  • Represent: You will be Tesla’s voice for escalations and complex issues – in this way you are the representative of our brand, mission and products
  • Communicate: You will handle customer concerns with professionalism, urgency and escalate matters that require senior management concurrence in a timely manner to line management
  • Decision Making: You define the right course of action on a customer by customer case. You will make the right decision based on cost, speed, safety and customer experience
  • Administer: As part of a data-driven company, you will use our Customer Relationship Management software and other tools to keep an accurate record of support cases and communications


  • What You'll Bring

  • Customer-centric: You have a background within customer service environment and you love to deliver an excellent customer experience
  • Eager to learn: We don’t require you to be an automotive expert, but we expect you to have a genuine interest in cars and technology and be eager to learn
  • A multi-tasker: You thrive in an ever-changing and fast-moving environment, prioritize effectively and can manage stressful situations and multiple work streams at once to offer the best experience to existing and future customers
  • Flexible: You thrive collaborating closely in diverse teams and people. You can work between 32-40 hours per week and commit to shifts between 7am – 11:30pm and occasional night shifts, including working on weekends and bank holidays
  • An excellent communicator: You communicate clearly and respectfully in Spanish and Portuguese
  • Legal right to work in the Netherlands
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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

    10 reviews

    3.8

    10 reviews

    Work-life balance

    2.3

    Compensation

    4.0

    Culture

    3.2

    Career

    4.1

    Management

    2.8

    65%

    Recommend to a friend

    Pros

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    Cons

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    Salary Ranges

    1,403 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total per 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