Senior Staff Engineer, Growth Engineering

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant 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 entrepreneurial 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.

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Today, we provide exceedingly fast shipping speeds on millions of items including fresh groceries, delivered within hours nationwide, 365 days a year. We are doing this for millions of consumers in Korea and Taiwan.

About Growth Engineering

Growth Engineering powers Coupang’s customer acquisition and retention through data and ML-driven marketing systems. Our scope spans Onsite and Offsite channels, Marketing Core Platform (MCP), and the Marketing Data Service (MDS). We are building intelligent infrastructure and systems to drive targeting, personalization, performance optimization, attribution, and automation at scale.

Role Overview

We are looking for a Senior Staff Software Engineer (L7-2) to lead architecture, platformization, and innovation across our Growth Engineering stack. This role will drive end-to-end strategy and execution of ML-powered systems, working at the intersection of data, infrastructure, and marketing effectiveness.

You will partner with engineering leaders, data scientists, and product stakeholders to unlock new capabilities across Onsite and Offsite channels, standardize foundational ML systems, and design scalable platforms that power long-term growth.

Key Opportunities for Impact

As part of this role, you will be expected to lead initiatives that address major technical and business opportunities, including:

1. Unified Experimentation Infrastructure: Design scalable, reliable systems for lift testing, geo-experiments, and attribution pipelines to accelerate campaign impact measurement across channels.
2. Real-Time ML Signal & Feature Serving Platform: Build low-latency data systems and streaming features to support real-time personalization, ad decisioning, and dynamic targeting.
3. ML-Based Budget & Bid Optimization Engine: Centralize and automate budget pacing and bidding strategies with ML-driven optimization frameworks to improve ROAS across Offsite Ads (Search, Display, Affiliate).
4. Creative Intelligence & Marketing Catalog Platform: Develop intelligent feedback loops for creative performance, template ranking, and product catalog enrichment to optimize both Onsite landing and Offsite ad delivery.
5. Multi-Region ML & Marketing Infrastructure: Architect globally scalable systems that support regional targeting, latency-aware serving, and compliance to accelerate international growth.
6. ML Platformization Across Growth Org: Drive standardization across the model lifecycle (training, serving, evaluation, monitoring) and promote reusability of ML infrastructure across Onsite, Offsite, MCP, and MDS.

Key Responsibilities

• Lead design and execution of high-scale ML and data systems across real-time, batch, and nearline workloads.
• Partner with cross-functional stakeholders to convert business strategy into scalable systems.
• Take end-to-end ownership of services, from design and development to operational excellence.
• Mentor engineers and set high technical standards for platform quality, ML reliability, and growth impact.
• Serve as a technical thought leader, influencing architecture and product decisions across teams.

Basic Qualifications

• 12+ years of experience in backend, data infrastructure, or ML systems.
• 4-5+ years working with ML/AI in production—preferably in Ads, Growth, or Recommender systems.
• Strong foundation in distributed systems, data streaming, and cloud-native architecture.
• Deep experience with ML or data stacks (e.g., Spark, Flink, Kafka, Feature Stores, MLOps).
• Excellent coding and system design skills (Java, Go, Scala, Python, or similar).
• Proven ability to lead cross-team efforts and deliver high-impact technical solutions.

Preferred Qualifications

• Proven success scaling marketing ML systems globally.
• Background in Ads Tech, Performance Marketing, or Personalization.
• Master’s or PhD in Computer Science, Data Systems, or related technical field.