Lithium-ion battery recycling and claystone lithium extraction developer
American Battery Technology Company recycles lithium-ion batteries and develops lithium extraction from claystone, with an industrial stack spanning SCADA, Ignition, MES, IEC 61131 controls, LIMS, ICP-OES and HPLC. Engineering-led hiring plus recurring pain points around moving processes from bench to pilot to commercial scale show a company still industrializing its chemistry, while finance roles target treasury, close acceleration and capital markets work.
American Battery Technology Company is a public company, headquartered in Reno, NV, and founded in 2011. It works on recycling lithium-ion batteries, extracting battery metals, and developing primary mineral resources to supply materials for electric vehicles, grid storage, and consumer electronics and tools. The company employs 51–200 people and hires in the United States across engineering, manufacturing, operations, finance, construction and logistics. It trades on NASDAQ under the ticker ABAT.
Its stack includes SAP, SCADA, Ignition, MES, IEC 61131, LIMS, ICP-OES and HPLC for operations and lab work, plus AutoCAD, Revit, Plant 3D, Navisworks and SolidWorks for design, and Python, Tableau and Power BI for analysis.
Yes. Engineering is the largest hiring area, alongside manufacturing, operations and finance roles, mostly at mid and senior levels in the United States, with hiring velocity holding steady.
Projects include new processing routes to extract lithium from claystone, proprietary battery recycling processes, first-of-kind facility design and commissioning, flowsheet development, and an EHS management system.
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American Battery Technology Company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.