Top Tech Jobs & Startup Jobs

4 Days AgoSaved
In-Office
2 Locations
Entry level
Entry level
eCommerce • Fintech • Logistics • Retail
The posting is an incomplete internal-transfer requisition for a Staff Backend Engineer focused on MCP. It provides no specific responsibilities, qualifications, technologies, or experience requirements. Applicants must complete the Internal Transfer Request Form and apply using their Coupang email address. The posting includes general compensation, benefits, recruitment-process, privacy, and equal-opportunity information, but the salary range remains unspecified with placeholder values.
4 Days AgoSaved
In-Office
Mountain View, CA, USA
232K-290K Annually
Expert/Leader
232K-290K Annually
Expert/Leader
eCommerce • Fintech • Logistics • Retail
Leads Search and Discovery product strategy, vision, roadmap, OKRs, metrics, competitive benchmarking, and execution. Partners with business and technology stakeholders to improve search experiences using AI and machine learning. Performs data-driven analysis, aligns senior executives, drives cross-functional delivery, supports hiring, and mentors product managers. The role requires extensive ML product management experience, strong strategic and execution skills, and experience with search, ads, or large-scale ML systems.
Top Skills: AdsLarge Language Models (Llms)Large-Scale Ml SystemsMachine LearningSearch
4 Days AgoSaved
In-Office
Seattle, WA, USA
Entry level
Entry level
eCommerce • Fintech • Logistics • Retail
Principal Security Engineer role at Coupang. The posting contains template placeholders and does not specify responsibilities, qualifications, required technologies, compensation amounts, travel, or security clearance details. Applicants must complete the Internal Transfer Request Form and apply using their Coupang email address.
4 Days AgoSaved
In-Office
Seattle, WA, USA
Senior level
Senior level
eCommerce • Fintech • Logistics • Retail
Own the strategy, roadmap, and execution of a high-performance compute platform supporting AI and data workloads. Define GPU compute offerings, prioritize customer requirements, evaluate hardware and networking technologies, and partner with engineering, infrastructure, finance, and AI teams. Drive capacity planning, utilization, workload optimization, pricing, service scalability, customer engagement, and product launches from initial concept through market scale.
Top Skills: AIAzure VmsCloud ComputingContainer OrchestrationDistributed SystemsEc2GceGpuHpcMachine LearningPyTorchTensorFlow
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