Data Engineering, Manufacturing

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit .

Role Overview:

As CHAOS Industries scales production of advanced defense systems, the systems and data infrastructure that support manufacturing become mission-critical. We are seeking a Data Engineering, Manufacturing to own the architecture, integration, and evolution of the systems that power manufacturing operations across the company.

Working closely with Manufacturing, Quality, Supply Chain, Engineering, Program Management, and Information Technology, you will lead the design and implementation of the manufacturing systems ecosystem—from operational databases and reporting infrastructure to ERP, MES, PLM, quality systems, and analytics platforms. You will establish the technical foundation that enables accurate decision-making, scalable production, and end-to-end traceability across the factory.

This is a builder’s role: you will define how manufacturing data is captured, structured, integrated, governed, and consumed across the organization while creating scalable systems capable of supporting significant production growth.

Responsibilities:

• Design and build the data models, schemas, and ontologies—and the pipelines and integrations—that power manufacturing execution, quality, supply chain, inventory, and production planning, independent of any single platform.

• Make manufacturing data trustworthy and traceable end-to-end—from shop-floor capture through reporting—with the data integrity and lot/serial traceability defense production demands.

• Integrate the manufacturing systems ecosystem—MES, ERP, PLM, quality, warehouse, and data platforms—into a coherent, queryable source of truth, and evolve that architecture as systems are added or replaced.

• Build the reporting and analytics backbone that turns operational data into a single operating picture: throughput, quality, labor, capacity, inventory, and on-time delivery.

• Own the technical vision and roadmap for manufacturing systems—defining how the data and systems layer scales to support significant production growth and future automation.

• Lead root-cause investigations into systems, data-quality, and reporting issues, and build the fixes that keep them closed.