Product Configuration Analyst

Meta•Sunnyvale, CA

4d•$123,000 - $179,000

About The Position

As Product Lifecycle Management (PLM) Analyst at Meta Meta's AR/VR hardware division, you will take on a critical role in bringing AR/VR to our customers. You will work side by side with engineering and business teams across the AR/VR product category. The PLM Analyst will support product programs by managing component and BOM creation from early concept through End of Service. You will be able to define system configuration best practices and assist in developing AI tools to support this effort. You will prioritize competing work based on impact, deadlines, and stakeholder needs, and engage directly with cross-functional teams to resolve issues.

Requirements

Bachelor's degree in a directly related field, or equivalent practical experience
6+ years of related experience in a high-tech, fast-paced, consumer electronics environment managing Engineering design/documentation releases
Hands-on experience creating items and changes in a PLM system for part and product releases
Experience with Mechanical CAD, ECAD and ERP systems
Experience using AI-based tools (e.g., AI assistants, chatbots, or AI Agents) to improve productivity and data accuracy
Track record of identifying and implementing AI-driven process improvements that measurably reduced cycle time or error rates

Nice To Haves

Familiarity with Siemens Color BOM
Familiarity with Siemens Service Module
Experience in Teamcenter PLM with the Material Substance Compliance Module

Responsibilities

Manage and organize complex PLM projects and priorities, solve problems that impact release progress and provide detailed information to cross-functional teams
Support Reality Labs product projects from pre-concept through end of service
Create and release Bills of Material based on input from Engineering, Project Management and Manufacturing to support NPI and production product releases
Create and manage Service BOMs, Accessories and localized products
Create and release manufacturers, manufacturer and vendor parts and internal part numbers in the PLM system
Collaborate with internal and external teams to collect data, drawings, and specifications from multiple data sources
Initiate and manage ECOs, MCOs, Deviations and Stop Ships
Communicate Engineering BOM and data requirements between Supply Chain and Production to facilitate material planning, order fulfillment, logistics and service requirements
Contribute to broader PLM organizational goals, including tool and process improvements
End user support and problem resolution
Identify opportunities to apply AI to PLM processes such as BOM validation, part number creation and classification, ECO routing, and data reconciliation