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Service Scheduling Coordinator, Utility Service, APAC Energy & Charging Service
Melbourne, Victoria
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On-site
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Full-time
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Today
The APAC Energy & Charging Service team maintains Tesla’s Energy & Charging fleet to ensure excellent customer experience and best-in-class availability. As a member of our team, you must have a genuine passion for technology and a bias toward solving challenges that will fundamentally change the world’s energy and EV charging infrastructure. We are seeking an individual comfortable working in a fast-paced, entrepreneurial environment with a high degree of self-sufficiency.
As a Service Scheduling Coordinator, you will play a critical role in maintenance planning, ensuring reliable operation of our utility-scale battery storage projects. You will coordinate preventative maintenance (PM), reactive service visits, and resource planning across sites—optimizing uptime, safety, and efficiency while meeting contractual obligations, SLAs, and regulatory requirements. This role demands strong organizational skills, attention to detail, and collaboration with cross-functional teams including field technicians, asset managers, project engineers, customers, and contractors.
Your work directly supports Tesla’s mission by minimizing downtime on high-impact energy assets, managing nationwide site schedules, and driving continuous improvements in service processes.
What You'll Do
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About Tesla

Tesla
PublicA 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
Senior/L5
Junior/L3 · Production Associate
1,043 reports
$44,519
total / year
Base
$44,519
Stock
-
Bonus
-
$36,025
$55,017
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
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