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Collision Supervisor (Night Shift)

Tesla

Collision Supervisor (Night Shift)

Tesla

Marietta, Georgia

·

On-site

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Full-time

·

Today

What To Expect
Tesla Collision is seeking an energetic professional with a proven record of accomplishment of managing people and processes to work on one of the most progressive vehicle brands in the world. The Collision Center Supervisor is the leader of our collision shop floor teams. In this role, you will be responsible for leading an engaged team of technicians while delivering an impeccable service experience through driving excellent results and delivering operational efficiency in our collision centers. This position requires a clear understanding of production systems and collision shop workflow, utilizing critical thought processes and root cause analysis.

The hours will be Monday-Thursday 3 pm - 1:30 am.

What You'll Do

  • Provide effective supervision and coaching to assigned employees to meet quality and facility goals. Maintain shop records and inventories. Manage the flow of work through the facility
  • Act as the process leader for shop activities. Define and improve work standards with input from technicians and the team. Lead, coach, and develop a highly engaged team
  • Ensure work standards are current and accurate. Monitor employees to ensure they follow safety regulations and the collision center's safety program
  • Work with employees to resolve technical and personnel issues. Schedule staff to meet facility needs and allow for vacations and time off according to company policies
  • Select team members and ensure they receive required training. Hold regular one-on-one development meetings to support their professional growth and career advancement. Monitor training needs for the team and individuals, and coordinate training with training team resources as needed
  • Provide effective daily communication to align all team members on goals. Share any issues that affect the facility or the overall organization
  • Partner with the site Associate Manager to scale and grow shop production to meet company targets, and work collaboratively with key partners. Perform other duties as assigned by the Collision Manager to support the business


  • What You'll Bring

  • 0-1+ years of experience leading a collision center, refurbishment center, service center, or similar operation
  • 5-10+ years of collision technical experience or aptitude preferred
  • Ability to meet deadlines and be accountable for quality and quantity. Able to manage multiple tasks with competing priorities, set and achieve goals, lead group root-cause problem-solving, and develop quick countermeasures
  • Able to interact effectively with customers as needed
  • Excellent interpersonal and communication skills
  • Experience with Microsoft Office and understanding of repair estimates
  • Valid driver's license preferred


  • , Tesla

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    关于Tesla

    Tesla

    Tesla

    Public

    A 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

    3.1

    5条评价

    工作生活平衡

    1.5

    薪酬

    1.2

    企业文化

    1.3

    职业发展

    1.8

    管理层

    1.1

    15%

    推荐给朋友

    优点

    Strong financial performance

    Revenue growth

    Company achieving targets

    缺点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    薪资范围

    1,397个数据点

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2份报告

    $131,600

    年薪总额

    基本工资

    $114,400

    股票

    -

    奖金

    -

    $131,600

    $131,600

    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