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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Customer Support, Technical Specialist, Powerwall

职能技术支持
级别中级
地点Cremorne, Vic
方式现场办公
类型全职
发布今天
立即申请

必备技能

Customer Service

What To Expect
At Tesla, we don’t just build groundbreaking technology, we empower customers to embrace a sustainable future. As a Customer Support, Technical Specialist, you’ll play a pivotal role in ensuring every interaction with our energy products reflects the innovation, precision, and care that define Tesla. This position supports our mission to accelerate the world’s transition to sustainable energy by delivering seamless technical support to customers.

Your work bridges cutting-edge energy systems with the people who use them, combining technical expertise with dedicated customer advocacy. Ideal candidates thrive at the intersection of innovation and empathy, solving complex challenges while building trust in Tesla’s vision of a cleaner, smarter energy ecosystem.

What You'll Do

  • Redefine customer support standards by resolving technical inquiries with clarity and urgency, ensuring confidence for homeowners and certified installers.
  • Translate intricate energy systems into actionable guidance that empowers users to maximize their residential storage solutions.
  • Assess issues remotely, escalating complex concerns to Tier 2 support, Service Engineering, or Field Service teams as needed.
  • Champion systemic improvements by documenting insights in CRM systems and advocating for customer-driven product/service enhancements.
  • Operate with agility in a fast-paced environment, balancing high-volume support demands with Tesla’s high bar for quality.
  • Flexibility to work shifted schedules during peak support periods.


  • What You'll Bring

  • 2+ years of technical customer support experience with a track record of resolving complex issues and driving customer satisfaction.
  • Technical foundation in electrical systems, energy storage, or distributed generation (formal education or hands-on experience).
  • Exceptional written and verbal communication skills in English, with the ability to simplify complex concepts for diverse audiences.
  • Experience with CRM systems and data-driven workflows to optimize support efficiency.
  • Attention to detail in documenting interactions, prioritizing accuracy and compliance.
  • Enthusiasm for learning new technologies and a commitment to continuous improvement.
  • Ability to establish trust quickly, balancing technical precision with warmth in high-pressure situations.
  • Team-oriented mindset with a focus on achieving shared goals across Sales, Operations, and Service teams.
  • Preferred Qualifications
  • Certified Customer Service Professional (CCSP) or equivalent certification.
  • Understanding of distributed generation and/or energy storage systems.
  • Bilingual proficiency (Japanese, Mandarin, or Thai) for global support scalability.
  • Background in the energy industry or electrical engineering.


  • , 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

    10条评价

    3.8

    10条评价

    工作生活平衡

    2.3

    薪酬

    4.0

    企业文化

    3.2

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐率

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,403个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试评价

    4条评价

    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