Meta
Engineering Product Configuration Manager
$179K–$249K
Menlo Park, CA +1 · Manager · Full-time · Posted Oct 16, 2026
- Location
- Menlo Park, CA
Fremont, CA - Experience
- 12+ years.
- Education
- Bachelor's or Master's degree in Engineering, Supply Chain Management, or a relevant technical field.
About the job
Leads configuration management strategy and governance for hardware programs, overseeing engineering changes, bills of materials, audits, and PLM adoption from development through production.
What you'll do
- Set configuration management standards and governance across hardware programs, including baselines, part numbering, and revision control.
- Lead engineering change processes, BOM governance, and configuration audits in partnership with engineering, supply chain, and manufacturing teams.
- Improve configuration workflows and PLM adoption, including integration of AI tools to increase efficiency or quality.
What they ask for
- 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 governing BOM structures, part numbering, and revision control, and leading organizational configuration boards or engineering change reviews.
- Experience with PLM systems such as Agile, Windchill, Arena, or equivalent; conducting configuration audits; and integrating configuration processes with manufacturing execution and supply chain planning tools.
- Demonstrated AI skill development, responsible AI practices, and experience integrating AI tools to improve workflows.
Nice to have
- Experience managing configuration programs for data center server hardware, consumer wearables, or other complex hardware with rapid iteration and large supplier ecosystems.
- Familiarity with IPC-2578, EIA-649, or equivalent configuration management standards.
Pay
$179,000/year to $249,000/year (base salary)
Tools
Agile, Windchill, Arena, IPC-2578, EIA-649
AI focus
Apply responsible AI practices and integrate AI tools to optimize or redesign configuration management and engineering change workflows, producing measurable efficiency or quality improvements.
Model-written summary · the original posting is authoritative