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Technical Support Intern, Energy Products

Tesla

Technical Support Intern, Energy Products

Tesla

Cremorne, Vic

·

On-site

·

Internship

·

Today

What to Expect

The Technical Support Intern provide technical support for Tesla's Energy 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 values include a desire to exceed customer expectations, answer questions before they are asked, and ensure every aspect of the Energy product ownership experience is a true pleasure.

What You'll Do

  • Provide the highest level of customer support by answering inbound calls and emails
  • Evaluate the needs of customers and work in a creative, proactive 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 via phone or if service or further diagnostics is needed
  • Communicate customers concerns with technical support Tier 2, Service Engineering, or Field Service as necessary.
  • Accurately record issues and data into CRM database
  • This role may require a shifted work week on occassion

What You'll Bring

  • Electrical, Electronics or Mechatronics engineering background strongly preferred
  • Ability to work full-time (5 days per week) and for at least 6-month contract.
  • 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 technical support or call center environment preferred
  • Understanding of distributed generation and/or energy storage systems preferred
  • Ability to follow oral and written instructions with attention to detail
  • Willingness to learn about new and innovative technologies
  • Willingness to assist and teach others on the team
  • Establish and maintain positive, cooperative, working relationships
  • Effectively handle multiple priorities, organize workload, and meet deadlines

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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