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Tesla Support Specialist, Roadside Support - Spanish & English Speaker

Tesla

Tesla Support Specialist, Roadside Support - Spanish & English Speaker

Tesla

Amsterdam, Noord-holland

·

On-site

·

Full-time

·

Today

What To Expect
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
  • A flexible team player: You like collaborating closely with different kinds of people and can work in shifts to support your team. This may include weekends as well as morning and evening shifts. As the Tesla Support center will operate 365 days per year for Roadside Assistance support, flexible working hours between 6am-1.30am, Monday-Sunday, including bank holidays will be currently required
  • An excellent communicator: we are looking for a bilingual in Spanish & English. Italian or Portuguese fluency is a plus.
  • Legal right to work in the location of the role
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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