Top Tech Jobs & Startup Jobs

Lead the design and implementation of scalable backend systems, oversee technical challenges, mentor engineers, and drive innovations in fulfillment technology.

Lead global payroll and equity strategy, build scalable proprietary payroll/equity systems, ensure multi-jurisdictional compliance, optimize processes, manage vendors, build a high-performing team, and deliver data-driven insights to executive stakeholders.

As a Senior Data Analyst, you'll analyze complex data sets, maintain ETL processes, support operational teams, and automate tasks using Python, SQL, and various tools.

The Product Manager is responsible for defining the product strategy and lifecycle for the HPC compute platform, managing customer-ready compute products, and driving improvements to compute offerings based on enterprise AI workload requirements.

Lead architecture and delivery of an autonomous supply-chain Cognitive Engine by combining LLMs, GNNs, and OR. Build hybrid DL+optimization models, run large-scale simulations, establish model governance, and partner with engineering to deploy production-grade, low-latency systems managing millions of SKUs daily.

Coupang Talent Network helps candidates submit their resumes for various roles at Coupang, matching them with suitable positions based on their career goals.

The Staff Backend Engineer will architect and implement a scalable, reliable workflow engine, focusing on extreme availability and integrating AI for automation.

Technical IC leader designing and shipping large-scale Agentic AI and LLM systems for ads: multi-agent orchestration, post-training reinforcement learning optimizations, LLM fine-tuning and distillation, scalable serving/inference, data-driven ad performance improvements, cross-functional global technical alignment, and engineering best practices (CI/CD, testing).

The Business Analyst will support data-driven business decisions, improve processes, and create metrics across various operational areas at Coupang.

Lead design and evolution of a real-time fraud detection platform: own domain, improve reliability, drive architecture and multi-quarter roadmaps, integrate ML models, align cross-functional teams, mentor senior engineers, and deliver group-level OKRs.