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トレンド企業

トレンド企業

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求人Tesla

Associate Energy Systems Technical Support Engineer

Tesla

Associate Energy Systems Technical Support Engineer

Tesla

Eagle Farm

·

On-site

·

Full-time

·

Today

必須スキル

Customer Service

What To Expect
An Associate Energy Systems Technical Support Engineer provides technical support for Tesla's Industrial Energy Storage product lines, ensuring Tesla meets its obligations and commitments by responding to inquiries in an accurate and timely manner. This position will ideally suit someone who is client facing with an electrical or engineering background. This position requires a high level of customer and employee interaction, so the ideal candidate will not only possess the technical acumen, but also the ability to provide a strong level of customer service. This position requires collaboration with Sales, Operations, and Service staff to proactively improve the owner experience for a rapidly growing customer base.

Qualified persons may have a background in the energy industry or technical customer support. Candidates will thrive in both an independent and team environment. You must be able to proactively seek out projects that enhance optimal customer service and team organization while completing daily tasks accurately and with minimal oversight. Most importantly, your core value includes a desire to exceed customer expectations, answer questions before they are asked, and ensure every aspect of the Energy products experience is a true pleasure.

What You'll Do

  • Provide the highest level of customer support by answering customer inquiries
  • Maintain a high fleet availability through pro-active monitoring and resolving issues before they impact the customer
  • Evaluate the needs of customers and work in a creative, pro-active manner to resolve technical issues with the battery systems
  • Educate our Installers and customers so they have optimal confidence in the operation of their energy storage system
  • Determine if a technical solution can be resolved remotely or if on-site service is required
  • Communicate customers concerns with NOC Managers, Service Engineering, or Field Service as necessary
  • Accurately record issues and data into a CRM database
  • This role may require shifted workweek to provide weekend support


  • What You'll Bring

  • Minimum 2 year of relevant work experience, preferably with an electrical, electronics, or mechatronics engineering background
  • Excellent written and oral English communications skills
  • Excellent customer service skills
  • Ability to prioritize effectively and handle shifting priorities
  • Experience with CRM systems and MS Office Suite
  • Energy industry experience or background in a technical support
  • Understanding of distributed generation and/or energy storage systems preferred


  • , Tesla

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    0

    模擬応募者数

    0

    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

    Junior/L3 · Associate Analyst

    2件のレポート

    $94,875

    年収総額

    基本給

    $82,500

    ストック

    -

    ボーナス

    -

    $92,000

    $97,750

    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