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JobsTesla

Associate Energy Systems Technical Support Engineer

Tesla

Associate Energy Systems Technical Support Engineer

Tesla

Eagle Farm

·

On-site

·

Full-time

·

Today

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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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts