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PLM- Engineering Product Configuration Manager

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Meta
Full Time position
Listed on 2026-10-17
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 190000 - 260000 USD Yearly USD 190000.00 260000.00 YEAR
Job Description & How to Apply Below

Meta is seeking a Staff-level Engineering Product Configuration Manager to join our Product Lifecycle Management (PLM) organization and lead product configuration strategy and governance across hardware and systems engineering programs. In this role, you will define and own the configuration management framework that ensures product integrity from early engineering development through mass production, spanning data center server hardware and infrastructure systems.

You will serve as the authoritative voice on engineering change management, bill of materials governance, and configuration baseline control, partnering closely with hardware engineering, manufacturing, supply chain, and program management to ensure product definitions are accurate, controlled, and traceable at every stage of the product lifecycle.

  • 8+ years of experience in engineering product configuration management, engineering change management, or product lifecycle management within hardware or consumer electronics development
  • Experience establishing and governing bill of materials structures, part numbering systems, and revision control processes across multi-disciplinary hardware programs
  • Experience leading configuration control boards or engineering change review processes, including impact assessment across engineering, supply chain, and manufacturing domains
  • Experience with PLM systems (such as Agile, Windchill, Arena, or equivalent) for configuration baseline management and engineering change workflows
  • Experience conducting configuration audits and ensuring product build conformance to approved design documentation across hardware product lifecycle phases
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with IPC-2578, EIA-649, or equivalent configuration management standards applied to commercial hardware development
  • Experience managing configuration management programs for data center server hardware, infrastructure systems, or other high-complexity technical hardware with rapid iteration cycles
  • Track record of defining configuration management tooling strategy and driving cross-functional adoption across large engineering organizations
  • Experience integrating configuration management processes with manufacturing execution systems and supply chain planning tools to support clear-to-build readiness
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