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求人Tesla

Regional Field Trainer, Service Advisor

Tesla

Regional Field Trainer, Service Advisor

Tesla

Santa Clara, California

·

On-site

·

Full-time

·

Today

必須スキル

Customer Service

What To Expect
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

  • Partner with Territory Director, Regional Service Managers, Service Managers, Service Coaches, and Training Team to identify training and development needs within their regions and work within markets to enhance core capabilities and ensure continuous process improvements
  • Provide on-site coaching and guidance to support the development of critical service skills as aligned with regional objectives
  • Develop individualized learning plans to ensure service employees and regions meet readiness targets or associated business metrics and review and provide feedback on training curricula developed by the Service Learning & Development team
  • Ensure that Training programs and processes are accurately and effectively communicated to the field
  • Provide ongoing training and development support in the field to ensure a problem-solving mindset is applied and effectively utilized across the Tesla Service domain
  • Provide customer-centric, service-based training focused on operational systems—including appointment preparation, service center applications, service metrics, customer satisfaction, warranty, and customer support—as well as competency in vehicle subsystems as they relate to customer experience (diagnosis, glazing, infotainment, DAS, electrical, chassis/NVH/thermal, communication, and de-escalation)
  • Co-coordinate schedule with leaders and training partners supporting service teams in the field


  • What You'll Bring

  • S3 Advisor or higher
  • Degree or certificate from a university program in Automotive Service Technology or an equivalent communication or automotive business qualification
  • Strong expertise in customer service and/or repair order writing and training, with the ability to research theories of operation and apply them practically to customer concerns and experiences
  • Ability to collaborate with and serve as a partner/consultant to regional leadership and staff
  • Highly skilled with common workplace and database software (PowerPoint, Excel, Word, Outlook, Teams)
  • Valid driver's license required; valid passport is preferred, up to 90% travel


  • Benefits
    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:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • , Tesla

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    0

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    0

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    スクラップ

    0

    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    3.8

    10件のレビュー

    ワークライフバランス

    2.2

    報酬

    3.8

    企業文化

    3.5

    キャリア

    4.1

    経営陣

    2.8

    65%

    友人に勧める

    良い点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    改善点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    給与レンジ

    1,398件のデータ

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2件のレポート

    $131,560

    年収総額

    基本給

    $114,400

    ストック

    -

    ボーナス

    -

    $131,560

    $131,560

    面接体験

    4件の面接

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts