What To Expect
As part of the Autobidder Operations team, you will leverage your knowledge of wholesale energy markets to analyze and report on the performance of the growing Autobidder fleet worldwide. You will drive continual performance improvements of Tesla's in-house automated trading platform, Autobidder, which manages the largest fleet of battery storage projects in the world, ranging from utility-scale batteries to virtual power plants.
You will be responsible for generating insightful and actionable analyses, communicating complex and nuanced topics to broad audiences, and presenting to internal and external stakeholders. You will partner with Software and Algorithm Engineers and your work will inform the deployment of new trading strategies under defined market conditions, will support operating committee reviews and will include real-time monitoring of Autobidder, balancing risk and expected returns from different trading strategies.
You will contribute to Tesla's mission to accelerate the world's transition to sustainable energy by driving continuous improvement in battery revenues and accelerating the storage adoption needed to support high renewable power systems. You have a passion for tackling open-ended analysis, and then applying it to deliver concrete value. You have a bias towards action and excel on collaborative fast-paced teams.
What You'll Do
Develop and analyze data-driven insights from analytics and reporting tools to provide actionable intelligence on the performance of the wholesale battery fleet, identifying trends, patterns, and areas for improvement to inform future strategic trading decisions and optimize business outcomesFoster and communicate the understanding of Autobidder's performance, analyzing it against competitor benchmarks and simulated scenarios to inform business strategyDefine and report on clear key performance indicators (KPIs), and contribute ideas for improving field performanceCollaborate with cross-functional teams of algorithm engineers and software engineers to automate reporting tools and processes, ensuring seamless scalability and efficiencyStructure batch experiments through our proprietary simulation platform and conduct forensic analysis of outputs to explain performance and identify opportunities for algorithmic improvements Participate in on-call rotations for Autobidder market operationsFacilitate and lead regular meetings with internal stakeholders to drive collaborative understanding and alignment on battery fleet performance metrics and strategies
What You'll Bring
Proficiency in Python with the ability to develop, modify, and run analytical tools to extract insights from dataDegree in Economics, Engineering, or equivalent work experienceExperience with both energy and ancillary service products as well as with stationary storageExceptional data management skills, with the ability to work with large datasets, organize logically and efficiently, and extract actionable insightsDemonstrated meticulous attention to detail and an unwavering commitment to accuracy, ensuring data integrity and reliabilityClear and effective communication, both written and interpersonal, to convey complex insights and results to internal and external stakeholdersAbility to work effectively with cross-functional teams and produce and coordinate time-sensitive deliverables
Preferred, Additional Skills
Expertise in energy-related commodity trading or electricity market researchExperience with simulation techniques to evaluate, develop, and refine key performance indicators (KPIs), providing actionable insights that drive informed investment and trading decisionsTrack record of positively impacting investment or trading decisions through your own market analysis and insights
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