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Gridmatic, Satoshi Energy, and Cholla Inc. Partner to Advance Flexible Load Innovation in Texas

Gridmatic Launches AI Load Optimizer to Help Large Energy Users Capture More Value from ERCOT Markets

Energy Vault announces successful completion and operation of Cross Trails BESS in Texas

Energy Vault Achieves Major Strategic Milestone with Commercial Operation of Cross Trails BESS, Marking the First Asset Placed in Service Under “Own & Operate” Growth Strategy

Lead Data Infrastructure Engineer

Gridmatic is a startup focused on decarbonizing the grid through deep learning for energy price forecasting. The Lead Data Infrastructure Engineer will be responsible for scaling and improving the reliability of the data infrastructure that supports the company's machine learning initiatives.

Gridmatic is a startup focused on decarbonizing the grid through deep learning to forecast energy prices. The Lead Data Infrastructure Engineer will be responsible for scaling and improving the reliability of the data infrastructure that supports machine learning applications in energy markets.

Channel Partner Sales Manager

Gridmatic Retail is seeking an experienced Channel Partner Sales Manager to expand their retail energy footprint through third-party brokers and strategic partners. The role involves recruiting and managing channel partners, driving indirect sales growth, and collaborating with internal teams to deliver competitive offers to commercial and industrial customers.

Gridmatic is a company focused on expanding its retail energy footprint, and they are seeking a Channel Partner Sales Manager to manage relationships with third-party brokers and partners. The role involves driving indirect sales growth and collaborating internally to enhance partner experiences in the retail energy sector.

ML Performance Engineer

Gridmatic Inc. is a high-growth startup focused on accelerating the clean energy transition through expertise in data and machine learning. The ML Performance Engineer will build and optimize the infrastructure of the ML platform, enhance the efficiency of machine learning models, and mentor junior engineers within a collaborative team environment.