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Required skills
Customer Service
At Tesla, our Tesla Advisors consistently deliver on an incredible educational, immersive, and exciting experience to all of our current and future customers as well as create a memorable experience for our customers on delivery day. They constitute Tesla’s front line and are our brand ambassadors, supporting our mission to accelerate the world’s transition to sustainable energy. As a Tesla Advisor, you will support customers from the moment they walk into our showrooms to learn about Tesla through to their delivery day experience. We’ve created one of the most innovative vehicles ever made, and you will help deliver an equally innovative buying and delivery experience. To succeed at Tesla, you must be energetic, highly organised, and hard working. You should have a passion for sustainable energy and the ability tocreate exceptional client experiences. While individual contributions will be recognized, teamwork is essential to achieve the highest level of success. We will reward team players who help others succeed and empower the team around.
What You'll Do
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About Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
Employees
Ciudad De Panamá
Headquarters
$800B
Valuation
Reviews
3.8
10 reviews
Work-life balance
2.2
Compensation
3.8
Culture
3.5
Career
4.1
Management
2.8
65%
Recommend to a friend
Pros
Innovative projects and cutting-edge technology
Great team and supportive colleagues
Opportunities for growth and learning
Cons
Long hours and poor work-life balance
High pressure and tight deadlines
Management issues and high expectations
Salary Ranges
1,398 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
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