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职位Tesla

Document Generation Specialist

Tesla

Document Generation Specialist

Tesla

Draper, Utah

·

On-site

·

Full-time

·

Today

What To Expect
The Document Generation Specialist is integral in the customer vehicle experience. In this role, the individual will be coordinating with internal stakeholders and working with proprietary tools to assist in North America vehicle deliveries and moving the world into the future.

This role requires a high level of flexibility, attention to detail, and ability to work in a fast-paced, high volume, dynamic environment. AM, PM, and weekend shift positions available.

What You'll Do

  • Prepare and submit high volume of vehicle contracts ensuring a high level of quality
  • Coordinates with internal teams to ensure all required documents pertaining to the transaction are complete and accurate
  • Records information and ensures data quality in multiple Tesla proprietary systems
  • Serves as a subject matter expert on vehicle taxes and fees by geography, keeping abreast of changes as they are announced
  • Perform additional tasks as assigned to meet business needs


  • What You'll Bring

  • 1+ years’ related to data entry experience preferred
  • High level of integrity and accountability
  • Strong written and verbal communication skills and ability to interact effectively within the team, cross collaboration with other departments, as well as management
  • Ability to work independently and think creatively with a proven track record of success
  • Readiness to work on a flexible schedule, according to business needs
  • Comfort working in a fast-paced environment
  • Ability to adapt to frequent change


  • 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

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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