招聘
Tesla’s mission is to accelerate the transition to a world of sustainable abundance. One of the cornerstones of this mission is Megapack - Tesla’s utility-scale energy storage product. Megapack is much more dynamic than traditional fossil-fuelled power plants and requires an entirely new approach to operations and dispatch.
To manage these assets, Tesla has developed a suite of in-house software solutions, including its market-leading Autobidder platform for wholesale markets.
We are seeking a sales professional who will drive the deployment of Tesla’s industrial energy software platforms across the APAC region. Day to day responsibilities will encompass leading customer education, sales discussions, contracting, product development, and the development of novel commercial structures and strategies.
The successful candidate will have a solid understanding of the energy industry, including wholesale market participation and energy storage dispatch, financial and commercial experience, technical sales, and strong contracting skills.
Prior experience with energy asset optimization and sales in wholesale markets is strongly preferred.
Please note, this position is open to applicants based in both Sydney & Melbourne.
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
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
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