Technical Lead Manager, Mobile Engineering — Search AI Product & Mobile
Coupang · Mountain View, USA
About this role
**Technical Lead Manager, Mobile Engineering — Search AI Product & Mobile** **Company Introduction** We exist to wow our customers. Born out of an obsession to make shopping, eating, and living easier than ever, Coupang is disrupting the multi-billion-dollar commerce industry from the ground up—building an unparalleled reputation for being leading and reliable in South Korean commerce. We’re proud to have the best of both worlds: startup culture with the resources of a large global public company. We move fast, launch new services at high velocity, and create an environment where you can drive initiatives and make a hands-on impact. --- **About the Team** The Search AI Product & Mobile team sits within Coupang’s Search and Discovery org. We craft innovative search and discovery experiences using cutting-edge AI to help customers navigate products with ease and find what they need. As the **Mobile TLM** of this team, you own one of the most critical product surfaces on Coupang’s app—**Search and Discovery**, where **60%+ of transactions** happen. You’ll work closely with **ML** and **backend platform** teams and ship features with direct, measurable impact on customer satisfaction and revenue. --- **The Role** We’re looking for a **Manager – Mobile Engineering** to lead the Search AI Product & Mobile team (**6–8 team members**), drive the team’s technical direction, and grow team members. Your mission: lead the team to drive Coupang’s business and pave the way for the future **AI search experience**. --- **What You Will Do** - Build, grow, and mentor a team of mobile engineers (including **iOS** and **Android**) - Create an inclusive team culture and refine processes to make work easier for team members - Drive cross-team collaboration with **Backend** and **ML** teams (including across organizations) - Define and drive the architecture for search and discovery features, including: - Search results pages - Query suggestions - Zero-state discovery - AI-powered recommendations - Set technical direction for mobile-side integration of ML models (e.g., **on-device inference**, server-side ranking signal consumption, feature-flagged experiments) - Lead architecture reviews and design docs—your decisions will have long-term codebase impact - Own the end-to-end technical quality bar (performance budgets, memory footprints, latency targets) --- **What We Are Looking For** - **8+ years** of industry experience in mobile development, plus **2+ years** of people management experience - Expert proficiency in **iOS or Android** - Strong grasp of mobile architecture patterns (e.g., **MVVM, TCA, Coordinators**) and when to apply them - Experience building and shipping features in high-traffic, data-intensive consumer apps - Demonstrated experience with **A/B experimentation on mobile** (instrumentation, analysis, iteration) - Proven technical leadership: shaped architecture decisions, written design docs, and driven alignment across teams - Strong understanding of mobile performance (memory management, concurrency, rendering pipeline, network stack) - Track record of mentoring and growing engineers --- **Preferred Qualifications** - Experience in search, discovery, recommendation, or feed products on mobile - Hands-on experience integrating ML-powered features on mobile (on-device inference like **Core ML / ONNX**, server-side model APIs, or both) - Familiarity with **LLM-based product features** (conversational search, query rewri
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