
Accelerating the world's transition to sustainable energy.
Supervisor, Technical Customer Support
Tesla Technical Customer Support Supervisors are proactive, hands-on leaders who guide a team of 16–22 Technical Customer Support Specialists toward delivering exceptional customer experiences. In this role, you will build and maintain strong relationships across internal departments including Energy Operations, Finance, Legal, Interconnections, Pre PTO, Property and Title and work cross-functionally with those teams to resolve issues, drive continuous improvement, and eliminate root-cause defects.
You will coach, develop, and audit Technical Customer Support Specialists to ensure quality, consistency, and alignment with Tesla’s Measures of Excellence. As a front-line leader, you’ll not only support escalations and complex cases but also serve as a subject matter expert on Tesla’s energy products and policies.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
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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
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
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