Top Tech Jobs & Startup Jobs

Provides legal counsel for AI-powered products, reviewing technical specifications, assessing legal and regulatory risks, and guiding product development. Partners with engineering, product, security, privacy, and business teams to integrate legal requirements into product lifecycles. Leads company-wide AI reviews and helps establish scalable AI governance and product compliance processes. Requires a JD, at least seven years of legal experience, product counseling or AI governance experience, and knowledge of privacy, data governance, AI, and the EU AI Act.

Own and deliver complex, large-scale technology programs across multiple organizations. Analyze business, system, infrastructure, and data requirements; define specifications and service scenarios; drive engineering implementation; improve data quality and customer feedback systems; manage budgets, timelines, risks, vendors, and executive communications; and coordinate cross-functional teams through organizational change.

Lead architecture and development of scalable, reliable distributed backend systems supporting global e-commerce. Align technology roadmaps with stakeholders, remove technical blockers, evaluate technologies, build productivity tools, write code for strategic initiatives, and mentor and recruit engineering talent. The role requires deep backend expertise, strong Java and Spring skills, AWS experience, database knowledge, and a focus on reliability and observability.

Develop freight-forwarder strategy for Korea-Taiwan air and ocean markets, including sourcing, lane planning, cost, transit time, and service quality. Manage forwarder SLAs, contracts, renewals, performance reviews, and vendor relationships. Drive commercial process and system improvements, define IT requirements, develop contracting and SLA frameworks, monitor market trends, and collaborate with Product, Sales, IT, and Operations teams.

Analyze CX audit results, prepare QA reports, identify operator defects and customer experience trends, provide feedback, improve audit SOPs, maintain audit accuracy above 97%, and support catalog health projects.

Lead enterprise data security engineering initiatives covering sensitive-data discovery, PII classification, masking, tokenization, access governance, data lineage, audit logging, and risk remediation. Build internal security tools and automated workflows, apply AI to improve detection accuracy, and integrate controls across data platforms, pipelines, warehouses, and production systems. Collaborate with engineering, privacy, compliance, data, and business teams to reduce sensitive-data exposure.

Design and scale high-throughput data processing pipelines and real-time serving infrastructure for Coupang Ads. Build self-service data platform capabilities, translate advertising requirements into resilient distributed architectures, and lead large-scale data-serving projects. The role requires backend software development, scalable low-latency systems, AWS, Java, Spring, distributed systems, and advertising-serving expertise.

Own the data science function for a core Search and Discovery area. Analyze customer interactions, improve search experience and business performance, lead experimentation, build analytical datasets, and evaluate machine learning ranking models and LLMs. The role requires strong statistical and coding skills, experience with massive datasets, and the ability to communicate insights to cross-functional stakeholders and executives.

Manage and grow Taiwan-based affiliate publisher accounts across apps and websites. Drive revenue, retention, upsell opportunities, API integrations, and programmatic monetization. Advise partners on Search and Recommendation API optimization, data flow, yield strategies, and performance improvements. Collaborate with product, engineering, and business teams to resolve integration issues, develop account growth plans, monitor partner health, and support onboarding. Track key business metrics using dashboards and SQL.

Develop advanced AI and machine learning systems for e-commerce, including optimization techniques for reasoning and token-completion models. Design and implement algorithms independently, apply large language and image models, run experiments, analyze results, and iterate rapidly. Projects may include computer vision for product enablement, model reasoning observability, and e-commerce-optimized model architectures. Collaborate across teams to deliver significant business impact through technology innovation.