Meta · 16 hours ago
Software Engineer - Capacity Planning (Technical Leadership)
Menlo Park, CA
Full-time
Onsite
Lead/Staff
8+ years expMeta is seeking a principal engineer to join their Infrastructure Capacity Planning team, focusing on driving automation across the global supply chain ecosystem. The role involves architecting and building frameworks that unify data, automate processes, and empower users to make decisions at scale.
Computer Software
Responsibilities
Architect and implement automation solutions across the supply chain ecosystem, including data onboarding, validation, transformation, and reporting
Lead the development of frameworks and tools for end-to-end process automation, integrating variety of systems and partners, and enabling rapid onboarding and extensibility
Design and build modular, reusable components for scenario modeling, simulation, analytics, and optimization
Drive governance, data quality, and compliance automation, ensuring robust stewardship, certification, and auditability across all supply chain data assets
Collaborate with cross-functional partners (Data Engineering, Data Science, Business Operations, external partners) to deliver unified, business-facing platforms and self-serve interfaces
Incorporate GenAI and advanced analytics into supply chain automation, leveraging AI/ML for predictive modeling, anomaly detection, and decision support
Set technical direction for integrating and automating workflows across Meta-native and external supply chain systems
Define and track success metrics: reduced manual effort, increased automation coverage, improved data quality, faster scenario analysis, and successful onboarding of new models and partners
Qualification
Required
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of programming experience in a relevant language
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
Experience driving large cross-functional/industry-wide engineering efforts
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Experience communicating and working across functions to drive solutions
Experience mentoring/influencing executive stakeholders across organizations
Preferred
Extensive experience architecting and building large-scale automation frameworks (ideally in supply chain, infrastructure, or similar domains)
Expertise in distributed systems, data integration, and complex process automation
Extensive background in scenario modeling, simulation, and analytics
Experience with AI/ML (GenAI) for predictive analytics and optimization
Track record of delivering business-facing, self-serve automation tools
Experience with compliance, auditability, and data quality frameworks
Practical knowledge of how to drive automation and reduce manual processes across the ecosystem
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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