Meta is seeking a Principal-level Engineering Product Configuration Manager to lead configuration management strategy and governance across hardware and systems engineering programs within our Product Lifecycle Management organization. In this role, you will define the authoritative framework for product configuration control, engineering change management, and bill of materials governance spanning consumer hardware, data center infrastructure, and emerging technology product lines. You will serve as the organizational expert on configuration integrity from early engineering development through mass production, partnering with hardware engineering, supply chain, commodity management, and manufacturing teams to ensure product definitions are accurate, controlled, and fully traceable across every phase of the product lifecycle.

Qualifications:

12+ years of experience in engineering product configuration management, engineering change management, or product lifecycle management within hardware, consumer electronics, or infrastructure systems development Experience establishing and governing bill of materials structures, part numbering systems, and revision control processes across large-scale, multi-disciplinary hardware programs Experience leading configuration control boards or engineering change review processes at an organizational level, including cross-functional impact assessment spanning engineering, commodity management, supply chain, and manufacturing Experience with PLM systems such as Agile, Windchill, Arena, or equivalent platforms for configuration baseline management, engineering change workflows, and product structure governance Experience conducting configuration audits and ensuring product build conformance to approved design documentation across full hardware product lifecycle phases, from development through mass production Experience integrating configuration management processes with manufacturing execution systems and supply chain planning tools to support clear-to-build readiness and commodity sourcing decisions Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience managing configuration management programs for data center server hardware, consumer wearables, or other high-complexity technical hardware with rapid iteration cycles and large supplier ecosystems Familiarity with IPC-2578, EIA-649, or equivalent configuration management standards applied to commercial hardware or data center infrastructure development Demonstrated ability to integrate AI tools to optimize or redesign configuration management and engineering change workflows, driving measurable efficiency gains or quality improvements at scale Bachelor's or Master's degree in Engineering, Supply Chain Management, or a relevant technical field