Manager Mobile Engineering Search AI Product positions focus on delivering results in their domain. This page aggregates open Manager Mobile Engineering Search AI Product roles and what employers typically expect.
Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Team The Search AI Product & Mobile team sits within Coupang's Search and Discovery org. We're dedicated to crafting innovative search and discovery experiences for Coupang customers — using cutting-edge AI to empower users to navigate products with ease and find everything 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. We move at high velocity, work closely with ML and backend platform teams, and ship features that have direct, measurable impact on customer satisfaction and revenue. The Role We're looking for a Manager - Mobile Enginerring, who will lead the Search API Product & Mobile team (6-8 team members), drive the technical direction of the team and grow the team members. The main responsibilities is leading the team to drive the Coupang business and pave the way for the future AI search experience. What You Will Do ● Build, grow and mentor a team of mobile engineers includign iOS and Android. ● Build inclusive team culture to make every one belong, refine process to make team members’ work easier. ● Drive the cross team collaborations with Backend and ML teams, even cross organizations. ● Define and drive the architecture for Coupang's search and discovery features, including search results pages, query suggestions, zero-state discovery, and AI-powered recommendations ● Set technical direction for mobile-side integration of ML models (on-device inference, server-side ranking signal consumption, feature flag-gated experiments) ● Lead architecture reviews and design docs; your decisions 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 and 2 years of people management experience. ● Expert proficiency in either iOS or Android ● Strong grasp of mobile architecture patterns (MVVM, TCA, Coordinators, etc.) 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: you've 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 around you Preferred Qualifications ● Experience in search, discovery, recommendation, or feed products on mobile ● Hands-on experience integrating ML-powered features on Mobile — whether on-device inference (Core ML, ONNX), server-side model APIs, or both ●…