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职位Tesla

Service Scheduling Coordinator, Utility Service, APAC Energy & Charging Service

Tesla

Service Scheduling Coordinator, Utility Service, APAC Energy & Charging Service

Tesla

Melbourne, Victoria

·

On-site

·

Full-time

·

Today

What To Expect
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

  • Develop and maintain detailed maintenance schedules for utility-scale sites, including PMs, reactive repairs, and commissioning activities. Use tools like SCA, Planner, and Power BI dashboards to forecast needs, prioritize tasks, and ensure compliance with blackout periods and SLAs.
  • Coordinate resources by collaborating with technicians, leads, managers, and vendors to allocate personnel, equipment, and parts. Manage overtime, travel logistics, and site access to maximize productivity and minimize travel time.
  • Handle stakeholder communication: prepare weekly outage notifications, distribute schedules, escalation reports, and log issues in systems like SharePoint, Loop, and Inside Tesla. Manage escalations for equipment failures or component issues.
  • Support process improvement: help refine SOPs for scheduling, track KPIs (e.g., total hours, closed activities, time per activity), and identify automation/efficiency opportunities.
  • Ensure compliance and safety: align schedules with safety protocols, regulatory requirements, site-specific financial obligations, POs, and blackout periods.
  • Create and maintain scorecards/dashboards for reporting, analyse outliers, and contribute to bi-weekly org syncs.
  • Provide cross-functional support: assist with recruiting/onboarding, escalation handling (e.g., MIA/reactive components), and project rollouts (e.g., PMs for new sites).


  • What You'll Bring

  • 2+ years of experience in scheduling, maintenance planning, or coordination roles, preferably in energy, utilities, or manufacturing.
  • Proficiency in Microsoft Excel.
  • Experience using Computerised Maintenance Management Systems (CMMS).
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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    3.8

    10条评价

    工作生活平衡

    2.2

    薪酬

    3.8

    企业文化

    3.5

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐给朋友

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,398个数据点

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2份报告

    $131,560

    年薪总额

    基本工资

    $114,400

    股票

    -

    奖金

    -

    $131,560

    $131,560

    面试经验

    4次面试

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts