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Commercial Energy Asset Manager, Energy Products

Tesla

Commercial Energy Asset Manager, Energy Products

Tesla

Melbourne, Victoria

·

On-site

·

Full-time

·

Today

What To Expect
The Commercial Energy Asset Manager is responsible for the oversight of commercial and operational deliverables for deployed commercial & industrial (C&I) battery energy storage projects portfolio. This includes the continuous evaluation of improved operations, system performance, and site level profitability for Tesla's fleet of commercial scale BESS assets.

What You'll Do

  • Facilitate, in coordination with other internal teams (field service, site operations, finance & accounting) to monitor and challenge the operational performance of active energy storage sites. Review optimization metrics to achieve project’s highest possible availability and gross profit.
  • Manage day-to-day external stakeholder relationships with end customers, project developers, regulatory agencies, subcontractors, service providers, local and state authorities, plus other parties needed to operate the asset.
  • Work closely with the onsite operations team to ensure safe and efficient operations of the asset.
  • Manage and resolve legal, contractual, regulatory, and commercial issues as they arise.
  • Ensure compliance with all project’s governing documents including Power Purchase Agreements, O&M Agreements, Interconnection Agreements, land leases, etc.
  • Review reoccurring reports on project performance as needed per contractual obligations and drive the closure of open cases / inquiries across the portfolio.
  • Negotiate contracts renewals or provide additional services proposals as needed.
  • Monitor and influence all maintenance and operations for the assets based on fleet health, organizational priorities, and current fiscal relationship with end customer.
  • Work with internal and external resources to develop strategies that maximize revenue and reduce risk and market exposure of the asset.
  • Strong commercial skills to manage various complex commercial / contractual matters over the lifecycle of projects.


  • What You'll Bring

  • Background in Engineering, Business, or equivalent industry experience.
  • Commercial mindset, strong prioritization, communication, and organizational skills.
  • Good understanding of project finance, legal contracts, accounting, and contract/warranty negotiations.
  • Strong learning skills with aptitude to independently research, understand, and implement knowledge in new areas.
  • Strong interpersonal skills together with excellent verbal and written skills.
  • Ability to travel both regionally within the state and interstate when required.
  • Prior operational experience and risk-based lifecycle management at solar, wind, thermal, coal or hydro industries is a plus.
  • Strong leadership skills with the ability to inspire people to action through his/her influence. Excellent stakeholder management and presentation skills.
  • Self-motived with the ability to work with little supervision.
  • Strong attention to detail with the ability to effectively multitask managing heavy workload.


  • , 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

    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