招聘
必备技能
Customer Service
The location of this role will vary within the territory. This role will also include heavy travel, up to 90%, within the region or nearby territory.
The position of Regional Field Trainer requires a candidate currently within Tesla's Technical Service division who is committed to advancing Tesla's mission. The responsibilities of this role will place a particular emphasis on elevating Technical Skill development and validation, and providing hands-on, on-site coaching.
As a Regional Field Trainer you will possess an exceptional aptitude for assessing technical competencies, crafting and delivering targeted performance support and coaching solutions, and cultivating robust working relationships within the field. Our ideal candidates are characterized by their proactiveness, organization skills, adaptability, results-driven mindset, and passion for and expert understanding of Tesla vehicles.
The Regional Field Trainer will report directly to either the Regional Manager or the Territory Operations Manager, with essential support from the Service Learning and Development Program Manager. As part of the Leadership Program, this role's primary objective is to broaden the scope of professional opportunities for individuals with exemplary customer service skills.
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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关于Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
员工数
Ciudad De Panamá
总部位置
$800B
企业估值
评价
3.8
10条评价
工作生活平衡
2.2
薪酬
3.8
企业文化
3.5
职业发展
4.1
管理层
2.8
65%
推荐给朋友
优点
Innovative projects and cutting-edge technology
Great team and supportive colleagues
Opportunities for growth and learning
缺点
Long hours and poor work-life balance
High pressure and tight deadlines
Management issues and high expectations
薪资范围
1,398个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · ASSOCIATE MANAGER, LOGISTICS
2份报告
$131,560
年薪总额
基本工资
$114,400
股票
-
奖金
-
$131,560
$131,560
面试经验
4次面试
难度
3.5
/ 5
时长
14-28周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assignment
5
Panel Interview
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
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