Communicate complex technical and business tradeoffs clearly to senior engineering leaders, cross-functional partners, and executive stakeholders.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 Experience partnering with cross-functional teams such as Data Science, Data Engineering, Product Management, Finance, Operations, Supply Chain, or Infrastructure Experience influencing senior technical and business stakeholders through written strategy, architecture reviews, and executive-level communication Programming experience in one or more general-purpose languages such as C++, Java, Python, Hack, Go, Rust, or similar Bachelor's degree in Computer Science, Engineering, Operations Research, Industrial Engineering, Applied Mathematics, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience operating at staff, principal, distinguished, or equivalent senior technical leadership level Experience with solver technologies or modeling frameworks such as Gurobi, OR-Tools, Xpress, CPLEX, Pyomo, custom solvers, discrete-event simulation, or similar systems Experience with methods such as mixed-integer programming, linear programming, constraint programming, network flow, facility location, bin packing, stochastic optimization, scheduling, allocation, or reinforcement learning for planning Experience building systems for infrastructure capacity planning, cloud capacity, hardware supply chain, GPU/accelerator planning, data center planning, logistics, inventory optimization, or manufacturing capacity planning Experience designing human-in-the-loop planning tools, what-if/scenario planning systems, or decision-support products used by business and operations teams Experience improving data quality, source-of-truth architecture, model validation, or forecast-vs-actual measurement in fragmented enterprise systems Experience leading zero-to-one technical efforts in domains with incomplete data, overloaded terminology, and multiple partial sources of truth Advanced degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Supply Chain, or a related technical fieldMeta builds technologies that help people connect, find communities, and grow businesses. The person in this role will set multi-year technical direction, partner deeply with Engineering, Data Science, Data Engineering, Product, Finance, Supply Chain, Infrastructure, and Operations teams, and influence executive-level decisions in a high-scale, ambiguous, and business-critical problem space.