You will build the optimization brain for Amazon's externalized logistics network — a system that couples first-mile route planning with middle-mile network optimization into a joint iterative loop, producing end-to-end recommendations that no single optimizer can reach alone. The technical challenge is real: solvers that take hours per run, a combinatorial search space that defies brute-force, model gaps that require deep-diving into solver internals, and convergence that must be proven across independently owned engines. This is not a scale or latency problem — it's a multi-system optimization convergence problem where you invent the pruning, approximation, and coupling strategies. Your recommendations will directly shape commercial decisions — which shippers to pursue, which geographies to grow, which contracts to reprice — giving this role rare direct business impact for a PE position.
In addition,
you will provide tech leadership to the fulfillment charter for Amazon Shipping where you will be responsible for increasing the label conversion rates that would be a key enabler for revenue growth; identify solutions such as dynamic network capacity management to build a resilient network topology; identify and build speed opportunities in the upstream planning systems; and solve unique challenges related to delivery addresses for an externalized supply chain business where orders are created outside amazon marketplace.
You will also be responsible for architectural integrity and scalability of fulfillment systems by (1) identifying interface contracts with partner tech teams (2) making the architecture more nimble and self-serve for faster time-to-market of current capabilities (3) improving resiliency and availability of Tier-1 systems (4) optimizing the level of service orchestration within the fulfillment systems.
Key job responsibilities
• Architect the joint FM-MM optimization loop: state-passing contracts, convergence detection, parallel execution, and checkpo