Tech Lead, Software Engineer — Supply Chain Optimization

Menlo Park, Northern (CA, KY)

Hybrid

USD 271,000 - 347,000

Full time

10 days ago

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Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Meta is seeking a Software Engineer, Technical Leadership, to define the multi-year strategy for supply-chain optimization and capacity planning across its infrastructure. You will architect platforms that integrate demand, supply, inventory, and logistics into reliable workflows and translate optimization models into production-grade systems.

You will work with Data Science, Data Engineering, and Finance to improve forecast accuracy and drive executive-level decisions, mentoring senior

Qualifications

12+ years of experience setting technical direction for large-scale software systems across multiple teams or organizations.
10+ years of experience designing, building, and operating production software systems in complex, ambiguous, cross-functional domains.
Experience with operations research, mathematical optimization, simulation, forecasting, or decision-support systems.
Experience applying optimization or modeling techniques to supply-chain, logistics, capacity planning, inventory, manufacturing, fulfillment, sourcing, infrastructure planning, or related operational domains.
Experience translating models or analytical approaches into production-grade systems with monitoring, validation, explainability, and operational ownership.

Responsibilities

Define and drive the multi-year technical strategy for supply-chain optimization, capacity planning, and fulfillment decision systems across Meta infrastructure.
Architect production platforms that connect demand, supply, inventory, manufacturing capacity, logistics, regionalization, cost, and risk into reliable planning and execution workflows.
Translate operations research models, optimization algorithms, simulations, and planning heuristics into scalable, maintainable, explainable software systems.
Lead the design and evolution of solver-backed and simulation-backed systems for inventory placement, supply allocation, capacity fulfillment, manufacturing feasibility, network design, logistics optimization, and scenario planning.
Partner with Data Science, Data Engineering, Supply Chain, Finance, Product, and Infrastructure Engineering teams to create trusted sources of truth and measurable forecasting.
Identify opportunities to reduce stranded capacity, improve on-time delivery, accelerate fulfillment, and reduce manual planning cycles.