Protecting and building a future shaped by original ideas, innovations, and creativity.

From counterfeits and pirated content to fraudulent sites and unauthorized sellers, MarqVision provides an end-to-end brand integrity platform across e-commerce, social media and emerging AI platforms. Our AI-powered managed service platform for brand control and intelligence enables rapid, scalable enforcement so that brands can move faster, protect revenue, and preserve brand equity across every digital touchpoint. In a time when IP infringements pose an increasingly serious challenge, we believe that democratizing legal expertise and access to the latest in generative AI technology is critical for continuing to support the inventors, developers, and artists of the world who work tirelessly to deliver safe, high-quality products. Founded by Harvard Law graduates in 2020, MarqVision recently raised Series B, bringing total funding to $89M, and is backed by Y Combinator, Peak XV (formerly Sequoia Capital India), HSG (formerly Sequoia Capital China), Salesforce Ventures, Altos Ventures, DST Global Partners, and Softbank. Recognized with an LVMH Innovation Award and the Inc 5000 Fastest Growing Companies award in 2025, MarqVision continues to push boundaries in brand control, ensuring that innovation, creativity, and trust remain safeguarded in a rapidly evolving digital world.

How You'll Make an Impact at MarqVision

At MarqVision, we’re redefining digital brand protection with cutting-edge AI and automation. As a Senior / Lead Product Manager for Digital Risk Protection(DRP), you will lead a cross-functional team that builds the systems identifying and responding to the full spectrum of online threats — from impersonation and piracy to emerging AI-generated risks. You will own the entire lifecycle from detection to enforcement, driving the intelligence, automation, and scalability that power MarqVision’s protection platform. Partnering closely with customers and internal stakeholders, you will translate complex digital-risk challenges into clear product strategy and deliver solutions that raise the global standard for DRP.

What You’ll Achieve

• Develop and scale Digital Risk Protection solutions that safeguard brands across impersonation, piracy, phishing, and emerging AI-generated threats.
• Work closely with engineering, AI/ML, and platform teams to define, prioritize, and deliver a cohesive roadmap that advances detection intelligence, enforcement automation, and operational scalability.
• Establish and drive OKRs for DRP products, consistently monitoring performance metrics such as detection accuracy, automation efficiency, and enforcement impact, while identifying opportunities for continuous improvement.
• Proactively collaborate with business, operations, and market-facing teams to understand evolving digital-risk challenges and translate them into pragmatic, high-impact product capabilities.
• Partner with senior leadership to align DRP initiatives with company-wide strategy, ensuring that product investments meaningfully strengthen MarqVision’s market position and client value.
• Work cross-functionally with peer Product Managers, Sales, Customer Success, and Operations to streamline go-to-market readiness, facilitate customer adoption, and manage platform-level interdependencies

Skills You Bring

• 5+ years of experience in technical product management, with a proven track record of developing and scaling successful B2B, B2C, or internal-facing products.
• Bilingual proficiency in English and Korean, with the ability to navigate global markets, collaborate across cross-functional teams, and engage international customers.
• Exceptional communication and collaboration skills, with the ability to convey complex ideas clearly and persuasively, both verbally and in writing.
• Action-oriented mindset, thriving in fast-paced, ambiguous environments while driving execution with a bias for action.
• Analytical and data-driven problem-solving skills, leveraging both qualitative and quantitative data to tackle complex and ambiguous challenges.

Nice to Have

• Experience in global B2B SaaS product development, successfully launching and expanding B2B products in international markets.
• Background in AI-driven solutions, with hands-on experience in machine learning applications or AI-powered products.
• Proficiency in SQL (intermediate to advanced level) or a strong ability to rapidly upskill in data analysis and querying.

Additional Reference

• MarqVision Company Blog
• Leadership Team

Be Part of the MarqVision Team

• Collaborate with a global team spanning 10+ countries and make a worldwide impact.
• Enjoy flexible working hours (8–10 AM start) and a hybrid work model (2 remote days per week).
• Receive U.S. stock-based compensation upon joining.
• Stay healthy with company-sponsored regular health checkups.
• Improve your skills with in-office English conversation classes.
• Get lunch allowances when working in the office and dinner & taxi fare support for late workdays.
• Bond with your team through company-sponsored lunches and dinners.
• Enjoy a fully stocked office with snacks, beverages, coffee, and even beer!

Interview Process

• Please submit all documents as a PDF file
• The interview process is as follows
• Application Review > Screening Interview > Hiring Manager Interview > Team Interview  > Culture Fit Interview > Case Study  > Final Interview
• The interview process is subject to change.
• This is a full-time position with a 6-month probationary (trial) period
• Please ensure that all submitted documents are accurate. Any false information may result in the withdrawal of your acceptance or offer of employment.

Equal Opportunity

At MarqVision, we believe real growth comes with attracting the brightest minds, motivating them to succeed in their position, and ensuring plenty of fun along the way. If you think this position is for you, apply now! MarqVision is an Equal Opportunity Employer and encourages applicants of all backgrounds to apply. We are committed to building a diverse and inclusive workforce that reflects the customers and communities we serve.

By applying for this role, you acknowledge MarqVision’s Global Recruiting Privacy Policy. Your privacy is important to us. Please review our Candidate Privacy Notice.

The impact you'll be contributing to Moloco:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

The Impact You’ll Be Contributing to Moloco:

• Leading research projects, possibly with a small team of applied scientists, as part of a group of cross-functional collaborators to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.  
• Collaborate with your team to identify areas for infrastructure and machine learning component improvements by analyzing internal system changes, external changes, and data changes.
• Lead your project and contribute directly to deep, unbiased analysis, always driving to the actual root causes of issues.  
• Participate in the design, implementation, and evaluation of new algorithms and features in collaboration with Software Engineers and Machine Learning Engineers.

The Opportunity:

The NEXT Quality (NQ)  team focuses on the operation and optimization of our software systems, and ML modeling, working closely with infrastructure engineering teams and Machine learning engineers in the team. As a Senior Applied Scientist, you will lead research projects. You may lead small teams of applied scientists as part of a broader group of cross-functional collaborators working together to solve challenging problems in a complex multi-causal environment. Your work will contribute to driving performance improvements and cost reductions as you and your team debug and investigate production issues and stabilize our core system through deep end-to-end understanding.

How Do I Know if the Role is Right For Me?

• Ph.D. in Computer Science, Mathematics, or a related field (new graduates welcome), or a Master’s or Bachelor’s degree with 2+ years of industry or postgraduate research experience in a quantitative or ML-related discipline.
• 2+ years of experience working on research-oriented projects involving machine learning, optimization, statistics, or large-scale data analysis.
• Experience contributing to research or modeling projects, ideally in collaboration with data scientists, machine learning engineers, or software engineers.
• Proficient verbal and written English communication skills, with the ability to present information and analysis results to collaborators and occasionally to larger groups.
• Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science 
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
• Strong intellectual curiosity with a passion for exploring new ideas, identifying novel approaches, and continuously improving methodologies.
• Highly self-motivated and proactive, with the ability to drive research projects forward independently while maintaining alignment with team goals.

The Impact You’ll Be Contributing to Moloco:

• Leading research projects, possibly with a small team of applied scientists, as part of a group of cross-functional collaborators to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.  
• Collaborate with your team to identify areas for infrastructure and machine learning component improvements by analyzing internal system changes, external changes, and data changes.
• Lead your project and contribute directly to deep, unbiased analysis, always driving to the actual root causes of issues.  
• Participate in the design, implementation, and evaluation of new algorithms and features in collaboration with Software Engineers and Machine Learning Engineers.

The Opportunity:

The NEXT Quality (NQ)  team focuses on the operation and optimization of our software systems, and ML modeling, working closely with infrastructure engineering teams and Machine learning engineers in the team. As a Senior Applied Scientist, you will lead research projects. You may lead small teams of applied scientists as part of a broader group of cross-functional collaborators working together to solve challenging problems in a complex multi-causal environment. Your work will contribute to driving performance improvements and cost reductions as you and your team debug and investigate production issues and stabilize our core system through deep end-to-end understanding.

How Do I Know if the Role is Right For Me?

• Ph.D. degree in Computer Science, Mathematics, or a related field, or industry experience in optimizing market prices or ML systems.
• 4+ years of work experience (industry or postgraduate) in research-related fields or an advanced degree such as a Master’s or PhD in a quantitative discipline with 2+ years of experience.
• 2+ years of experience leading research projects, preferably as part of groups that include data scientists, machine learning engineers, and software engineers.
• Proficient verbal and written English communication skills, with the ability to present information and analysis results to collaborators and occasionally to larger groups.
• Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science 
• Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
• Strong intellectual curiosity with a passion for exploring new ideas, identifying novel approaches, and continuously improving methodologies.
• Highly self-motivated and proactive, with the ability to drive research projects forward independently while maintaining alignment with team goals.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• D., M.S., or B.S. degree from a leading university in a quantitative or highly analytical field (e.g. Industrial Engineering, Physics, Computer Science, Mathematics, Financial Engineering, etc.)
• Excellent academic record
• Proficiency in C/C++ or Python or in other programming languages
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Able to communicate in English (written and verbal)

What WE OFFER:

• Understand the connections between advanced mathematical, computational and machine learning methods and their intersection with the modern financial industry
• Highly competitive compensation
• Learn from world-leading quantitative researchers
• Friendly and collegial working environment
• Opportunity to be promoted to Vice President in 2-4 years; followed by possible global mobility within the firm’s other locations (for the right role and right reasons)

Position is based in our Seoul research office. Interested and qualified candidates can apply at Career Listing - WorldQuant. 

퀀트 연구원

WorldQuant는 퀀트 전략을 개발하고 활용하여, 글로벌 시장의 다양한 금융자산에 투자하고 있습니다. WorldQuant 고유의 리서치 플랫폼을 통해 금융시장의 비효율성을 활용한 투자 시그널(“알파”)을 찾는데 주력하고 있으며, 이를 위해 전 세계 다양한 팀들이 긴밀하게 협업하고 있습니다. 알파를 찾고 전략을 개발하기 위한 끊임없는 노력이야말로 WorldQuant가 생각하는 지속가능한 글로벌 투자의 토대입니다.

WorldQuant는 학문적 탐구를 중시하면서 성과에 대해 책임을 지는 실용적인 문화를 기반으로 성장해 왔습니다. WorldQuant는 구성원들이 문제 해결을 위해 자유롭게 생각하고 토론하도록 장려하며, 구성원들에게 기존의 통념을 깨고 끊임없이 도전하고 발전하도록 독려합니다. 이러한 문화가 산업의 선두를 유지하는데 있어 필수적 요소이기 때문입니다.

저희의 목표는 세계 최고의 퀀트 인재를 채용하는 것입니다. 뛰어난 지성과 탁월한 재능을 갖춘 구성원들과 함께, 미래를 향한 로드맵을 만들어 나가고자 합니다.

직무: 리서치는 WorldQuant의 핵심입니다. WorldQuant의 연구원들은 다양한 데이터를 분석하고, 이를 통해 끊임없이 금융시장의 새로운 알파를 창출하고 있습니다. 저희는 경쟁사들이 생각지 못한 방식으로 데이터를 이해하고 활용하기 위해 노력하고 있습니다. 이를 통해 높은 예측력을 가진 새로운 시그널을 찾아내기 위해 검증된 기술을 활용합니다. 이렇게 데이터를 수식화하여 만들어진 시그널들은 당사의 퀀트투자 모델의 인풋으로 사용됩니다.

WorldQuant가 찾고 있는 퀀트 연구원에 적합한 인재는 글로벌 금융시장의 흐름을 예측하는 모델을 개발하기 위해 리서치 프로세스를 잘 이해할 수 있어야 합니다. 금융 관련 경력이 요구되지는 않지만, 글로벌 금융 시장에 대해 배우려는 강한 의지는 필수이며, 정답이 없는 문제에 대해 창의적이고 끈기있게, 그리고 주도적으로 풀어나갈 수 있는 인재를 선호합니다.

자격요건:

• 국내외 유수의 대학에서 정량적, 분석적 분야와 관련된 전공 (예. 수학, 컴퓨터공학, 물리학, 산업공학, 금융공학 등)으로 학사, 석사 혹은 박사학위를 취득하신 분
• 우수한 학업 성적
• C/C++ 또는 파이썬 프로그래밍이 가능하신 분 (또는 기타 프로그래밍 언어 능숙자)
• 뛰어난 문제해결 능력과 주의 깊은 판단력; 사려 깊으며 팀워크가 가능하신 분
• 영어로 의사소통이 가능하신 분 (서면 및 구두)

특전:

• 고급 수학, 컴퓨터 기술 및 머신러닝 기법을 접목한 금융 산업에 대해 배울 수 있는 기회
• 업계 상위 수준의 경쟁력 있는 보상
• 세계 시장을 선도하는 우수한 퀀트 전문가들로부터 배울 수 있는 기회
• 유연하고 학구적인 근무 환경
• 2~4년 내에 Vice President로 승격 후 적재적소의 해외 지사로 진출 가능

합격하신 분들은 서울 지사에서 근무하게 될 예정입니다. 관심 있으신 분들은홈페이지(Career Listing - WorldQuant) 를 통해 지원부탁드립니다.

** 2025년에 한하여 해당 포지션의 채용절차는 경력자에 한하여 진행될 예정입니다. 경력이 없으신 Fresh Graduate 지원자의 경우에는 봄학기/여름학기/가을학기에 진행되는 Quantitative Research Internship Program (8 weeks)을 통해 정규직 전환여부를 결정할 예정입니다. 따라서 전환형 인턴십 지원자의 경우는 지원 후 첫 면접시 인턴십 진행 의사를 알려주시기 바랍니다"

반드시 첨부된 ‘사내공모지원서 양식’을 작성 후 제출하여 주시기 바랍니다.  

Please complete the attached Internal Transfer Request Form and submit.  

반드시 쿠팡 이메일 계정으로 지원해 주시기 바랍니다.  

Please make sure to apply with your Coupang e-mail address.  

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결
• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업
• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가
• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지
• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화
• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선
• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보
• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴
• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트
• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)
• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력
• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험
• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험
• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력
• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험
• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위
• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험
• 예측, 최적화, 또는 적용형 머신러닝 모델 경험
• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험
• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심
• 석사(MS) 또는 MBA 학위 보유자 우대

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics
• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models
• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications
• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making
• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention
• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies
• Own key metrics and provide forward-looking insights rather than purely retrospective reporting
• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities
• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models
• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)
• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems
• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets
• Experience owning analytics for a business domain, product area, or operational function
• Strong analytical thinking with the ability to connect data insights to business outcomes
• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders
• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)
• Experience with Python for data analysis, modeling, or experimentation
• Exposure to forecasting, optimization, or applied machine learning models
• Background in e-commerce, food delivery, logistics, or marketplace platforms
• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles
• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.

https://privacy.coupang.com/en/land/jobs/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Equal Opportunities for All

• Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Coupang is reimagining the commerce 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 a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd Interview - Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
• https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “    Company    ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

Coupang is reimagining the commerce 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 a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd Interview - Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
• https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “    Company    ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

Senior Product Manager, New Fintech Product

회사 소개

쿠팡은 고객이 앱을 여는 순간부터 주문이 문 앞에 도착하는 순간까지 쇼핑 경험을 새롭게 재구성하고 있습니다. 뛰어난 전자상거래 및 물류 네트워크와 고객 중심의 문화를 바탕으로, 쿠팡은 속도, 선택, 가격의 균형을 깨뜨렸습니다. 오늘날 우리는 신선 식품을 포함한 수백만 개의 상품을 전국적으로 몇 시간 내에 배송하며, 연중무휴로 빠른 배송 서비스를 제공합니다. 한국은 세계에서 가장 크고 빠르게 성장하는 전자상거래 시장 중 하나입니다.

New Fintech Product 조직

쿠팡의 핀테크 조직은 고객의 쇼핑 경험을 넘어서는 새로운 금융 서비스를 제공하기 위해 끊임없이 혁신하고 있습니다. 이번에 새롭게 런칭할 New Fintech Product는 쿠팡 생태계 내에서 고객의 금융 생활을 혁신할 수 있는 핵심 제품으로, 결제, 자산관리, 금융 접근성 향상 등 다양한 영역에서 새로운 가치를 창출할 예정입니다. 이 제품은 초기 기획부터 개발, 런칭, 확장까지 전 과정을 함께할 핵심 인재를 찾고 있습니다.

THE ROLE

우리는 New Product 개발 경험과 대규모 프로젝트 리딩 경험을 갖춘 숙련된 Product Manager를 찾고 있습니다. 이 역할은 쿠팡의 새로운 핀테크 제품을 처음부터 정의하고, 고객 중심의 혁신적인 금융 경험을 만들어가는 데 핵심적인 역할을 하게 됩니다.

주요 책임

· 쿠팡의 New Fintech Product에 대한 Product 비전 및 전략 수립

· 0에서 1까지의 제품 개발 및 성공적인 런칭 주도

· 수백만 고객을 대상으로 하는 대규모 프로젝트 리딩 및 실행

· 고객의 금융 니즈를 반영한 혁신적인 기능 설계 및 구현

· 실험, 고객 피드백, 데이터 분석을 통해 지속적인 제품 개선

· 디자인, 엔지니어링, 리스크, 운영 등 다양한 팀과 협업하여 제품 로드맵 실행

· 글로벌 확장을 고려한 제품 전략 수립 및 현지화 기능 개발

· Product Manager 팀을 구축하고 리드하며, 조직 내외부에 제품 비전 전파

경험 및 자격

· 7년 이상의 Product Management 경험

· 0 to 1 제품 개발 및 런칭 경험 필수

· 대규모 프로젝트 리딩 경험 필수

· 고객 중심 사고와 문제 해결 능력

· 기술/정량적 분야에서 학사 이상 학위

· 마켓플레이스/소비자 플랫폼 모델의 복잡성 이해 – 선호

특성 및 역량

· 빠른 속도, 데이터 중심, 모호한 환경에서의 실행력

· 전략적 사고와 전술적 실행의 균형

· 다양한 데이터를 분석하여 인사이트 도출 및 문제 해결

· 임원 및 다양한 이해관계자와의 효과적인 커뮤니케이션 능력

Senior Product Manager, New Fintech Product

About the Company

Coupang is redefining the shopping experience from the moment customers open the app to the moment their orders arrive at their doorstep. With a world-class e-commerce and logistics network and a customer-centric culture, Coupang has disrupted the balance of speed, selection, and price. Today, we deliver millions of items nationwide within hours, including fresh groceries, offering fast delivery services 365 days a year. Korea is one of the largest and fastest-growing e-commerce markets in the world.

About the New Fintech Product Team

Coupang’s fintech organization is continuously innovating to provide financial services that go beyond the shopping experience. The newly launching New Fintech Product will be a core offering within the Coupang ecosystem, designed to transform customers’ financial lives. It will create new value across various areas such as payments, asset management, and financial accessibility. We are looking for a key talent to lead the entire product lifecycle—from initial planning to development, launch, and scale.

The Role

We are seeking an experienced Product Manager with a strong background in new product development and leading large-scale projects. This role will be instrumental in defining and building Coupang’s new fintech product from the ground up, delivering innovative and customer-centric financial experiences.

Key Responsibilities

· Define the product vision and strategy for Coupang’s New Fintech Product

· Lead the development and successful launch of a product from 0 to 1

· Drive and execute large-scale projects impacting millions of customers

· Design and implement innovative features that address customer financial needs

· Continuously improve the product through experimentation, customer feedback, and data analysis

· Collaborate cross-functionally with design, engineering, risk, operations, and other teams to execute the product roadmap

· Develop product strategies for global expansion and localization

· Build, inspire, and lead a team of Product Managers while evangelizing the product vision internally and externally

Qualifications

· 7+ years of experience in Product Management

· Proven experience in developing and launching products from 0 to 1

· Demonstrated success in leading large-scale projects

· Strong customer-centric mindset and problem-solving skills

· Bachelor’s degree or higher in a technical or quantitative field

· Excellent written and verbal communication skills in English – preferred

· Understanding of marketplace or consumer platform business models – preferred

Key Traits & Competencies

· Ability to thrive in a fast-paced, data-driven, ambiguous, and entrepreneurial environment

· Strategic thinking combined with strong tactical execution

· Strong analytical and problem-solving skills with the ability to derive insights from complex data

· Proven ability to communicate effectively and influence stakeholders, including executive-level audiences

전형 절차 및 안내 사항 

• 전형 절차 
  • 서류전형 - 1차 화상면접(30분) - 2차 화상면접(30분) - 3차 화상면접(30분) - 최종 임원면접(30분) – 최종 합격
  • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
  • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 

• 참고 사항 
  • 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
  • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
  • 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
  • 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
  • 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 

개인정보 처리방침   

• 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy   

서류 반환 정책   

1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 
2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 당사 이메일(recruitingops@coupangpay.com)로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.  
4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. 

Eats Analytics 팀 소개 🚀

Eats Analytics 팀의 비전은 데이터, 분석, 그리고 적용형 AI를 통해 복잡한 비즈니스 문제를 해결함으로써, Coupang Eats의 모든 의사결정이 데이터에 기반하고 실질적인 임팩트를 창출하도록 만드는 것입니다.

우리 팀은 단순한 리포팅이나 운영 지원을 넘어섭니다. 비즈니스, 프로덕트, 운영 리더들과 긴밀하게 협업하여 문제를 정의하고, 분석 및 데이터 모델을 구축하며, 인사이트를 대규모로 운영에 적용합니다.

Coupang Eats의 데이터 분석은 비즈니스 전략, 실험(Experimentation), 예측(Forecasting), 그리고 AI 기반 의사결정 전반에 걸쳐 있으며, 팀원들은 Data Science, Machine Learning, 혹은 고급 비즈니스 애널리틱스 역할로 성장할 수 있는 기회를 얻게 됩니다.

Data Analyst로서 당신은 문제 정의부터 모델 기반 인사이트 도출, 실제 운영 실행까지 엔드투엔드로 관여하게 되며, 대규모 데이터, 실험 플랫폼, AI 기반 비즈니스 활용 사례를 폭넓게 경험하게 됩니다.

주요 업무 🚀

• 배달 운영, 머천트 생태계, 고객 성장, 마켓플레이스 구조 전반에 걸쳐 데이터·분석·적용형 AI를 활용하여 다양한 비즈니스 문제 해결
• 모호한 비즈니스 질문을 분석 프레임워크와 데이터 모델로 구조화하기 위해 비즈니스 및 프로덕트 리더와 협업
• 대규모 A/B 테스트와 실험을 설계, 실행, 분석하며 단기 성과와 장기 비즈니스 영향 평가
• 운영 및 전략적 의사결정을 지원하는 분석 데이터셋, 파이프라인, 모델(예: 예측, 최적화, 세그멘테이션) 개발 및 유지
• 통계 분석, 모델링, 실험을 통해 배달 시간, 비용 효율, 수요–공급 균형, 고객 유지율 등 핵심 비즈니스 지표 최적화
• 모델과 인사이트를 일상적인 의사결정 프로세스에 적용하여 운영 효율성을 높이고, 분석 방법론을 지속적으로 개선
• 단순한 과거 리포팅이 아닌 미래지향적 인사이트 제공과 핵심 지표 오너십 확보
• 고객, 머천트, 운영 데이터를 심층 분석하여 확장 가능한 성장 기회 발굴
• 기술적 배경이 없는 이해관계자에게도 명확하게 인사이트와 제안을 전달하며, 다양한 조직 레벨의 의사결정에 영향력 행사

핵심 성과 지표 (KPI)

• 분석, 실험, 모델을 통해 창출된 실질적인 비즈니스 임팩트
• 고객, 머천트, 운영 관련 KPI 개선 (유지율, 효율성, 유닛 이코노믹스 등)
• 일상 운영에서 분석 모델과 인사이트의 활용도 및 효과성

자격 요건 🚀

• 비즈니스 문제 해결을 위해 데이터 분석, 애널리틱스, 또는 데이터 사이언스를 적용한 5년 이상의 경력
• SQL에 대한 강한 숙련도와 ETL, 데이터 모델링, 대규모 데이터셋 경험
• 특정 비즈니스 도메인, 프로덕트 영역, 또는 운영 기능에 대한 분석 오너십 경험
• 데이터 인사이트를 비즈니스 성과로 연결할 수 있는 뛰어난 분석적 사고력
• 빠르게 변화하고 불확실한 환경에서 다양한 조직과 협업한 경험
• 업무 언어로서 영어 사용에 대한 편안함

우대 사항 🚀

• 정량적 전공(STEM, 금융, 경제학, 통계 등) 학사 학위
• 데이터 분석, 모델링, 실험을 위한 Python 활용 경험
• 예측, 최적화, 또는 적용형 머신러닝 모델 경험
• 이커머스, 푸드 딜리버리, 물류, 마켓플레이스 플랫폼 경험
• Data Science, 고급 애널리틱스, AI 기반 비즈니스 역할로의 성장에 대한 관심
• 석사(MS) 또는 MBA 학위 보유자 우대

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Eats Analytics Team 🚀

The vision of the Eats Analytics Team is to solve complex business problems through data, analytics, and applied AI, ensuring that every decision at Coupang Eats is both data-informed and impact-driven.

Our team goes beyond traditional reporting or operational support. We work closely with business, product, and operations leaders to define problems, build analytical and data models, and operationalize insights at scale. Analytics at Coupang Eats spans business strategy, experimentation, forecasting, and AI-driven decision making, providing team members with opportunities to grow toward Data Science, Machine Learning, or advanced Business Analytics roles.

As a Data Analyst, you will work end-to-end—from problem definition to model-driven insights to real-world operational execution—while gaining exposure to large-scale data, experimentation platforms, and AI-enabled business use cases.

Responsibilities 🚀

• Solve diverse business problems using data, analytics, and applied AI across delivery operations, merchant ecosystem, customer growth, and marketplace dynamics
• Partner with business and product leaders to translate ambiguous business questions into analytical frameworks and data models
• Design, execute, and analyze large-scale A/B tests and experiments, evaluating short-term impact and long-term business implications
• Develop and maintain analytical datasets, pipelines, and models (e.g., forecasting, optimization, segmentation) that support both operational and strategic decision-making
• Apply statistical analysis, modeling, and experimentation to optimize core business metrics such as delivery time, cost efficiency, demand-supply balance, and customer retention
• Enable operational excellence by operationalizing models and insights into daily decision workflows, while continuously improving methodologies
• Own key metrics and provide forward-looking insights rather than purely retrospective reporting
• Conduct deep-dive analyses on customer, merchant, and operational data to identify scalable growth opportunities
• Communicate findings and recommendations clearly to non-technical stakeholders, influencing decisions at multiple organizational levels

Key Performance Indicators

• Business impact driven by analytics, experiments, and models
• Improvement in customer, merchant, and operational KPIs (retention, efficiency, unit economics)
• Adoption and effectiveness of analytical models and insights in daily operations

Basic Qualifications 🚀

• 5+ years of experience applying analytics, data analysis, or data science to solve business problems
• Strong SQL skills and experience with ETL, data modeling, and large-scale datasets
• Experience owning analytics for a business domain, product area, or operational function
• Strong analytical thinking with the ability to connect data insights to business outcomes
• Experience working in fast-paced, ambiguous environments with cross-functional stakeholders
• Comfortable using English as a working language

Preferred Experience 🚀

• Bachelor’s degree in a quantitative field (STEM, Finance, Economics, Statistics)
• Experience with Python for data analysis, modeling, or experimentation
• Exposure to forecasting, optimization, or applied machine learning models
• Background in e-commerce, food delivery, logistics, or marketplace platforms
• Interest in growing toward Data Science, Advanced Analytics, or AI-driven business roles
• Advanced degree (MS or MBA) is a plus

Recruitment Process and Others

Recruitment Process

• Application Review - SQL Live Coding Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.

https://privacy.coupang.com/en/land/jobs/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Equal Opportunities for All

• Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

About Coupang

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 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 at 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.

Job description:

We are seeking an exceptionally pragmatic and results-driven Lead Data Analyst to be the strategic core of our Supply Chain team. Your mission is to solve our toughest inventory challenges—from preventing stockouts to clearing excess goods. This is not a back-office reporting role. You will be a hands-on catalyst who can "figure things out," develop clever solutions, and collaborate across the company to see your insights implemented in our production systems.

Key responsibilities:

Lead the Full Cycle from Idea to Production-Ready Insight: 

1. Ideate & Develop Smart Heuristics: Proactively identify weaknesses in our supply chain systems and develop clever, practical logic. Your focus will be on forecast correction logic (to override our main models when they fail), Out-of-Stock (OOS) attribution models, and excess inventory flagging rules.
2. Build Rapid Proof-of-Concepts (POCs): Quickly validate your ideas with hands-on POCs. You will build working prototypes, such as a Root Cause Analysis dashboard that automatically attributes OOS events to causes like 'Supplier Delay' or 'Under-forecasting'.
3. Champion for Productionalization: Partner closely with our Demand Planning and Engineering teams to get your validated POCs productionalized. You are the subject-matter expert who ensures your logic is accurately integrated into our core inventory planning systems.

Become the Go-To Expert on Inventory Health: Own the analytics around our key supply chain KPIs, including Out-of-Stock rates and Sell-Through. You will not just report on these numbers; you will provide the "why" behind them.

Act as a Data Translator: Proactively communicate with technical and non-technical partners, ensuring stakeholders understand not just the 'what' but the 'so what' of your findings. You are the bridge that turns complex analysis into clear business directives.

Mentor and Elevate: As a lead, you will guide and mentor other analysts on the team, establishing best practices for high-impact, efficient, and reproducible analysis.

Qualifications: 

• 7+ years of professional experience in data analytics, business intelligence, or a related quantitative field.
• Development background is highly preferred. You think in terms of systems and build solutions for the long term. You likely started your career as a developer or have consistently worked in roles that required strong software engineering principles.
• Domain expertise in Supply Chain, Inventory Management, or Demand Planning is a significant advantage. Experience in e-commerce is also a major plus.

Core Technical Proficiencies:

• Database Expertise (SQL): You possess expert-level SQL skills. You are highly experienced in writing clean, efficient queries to manipulate massive datasets across our primary data platforms, including our data warehouse (Redshift) and data lake (Hive).
• Data Scripting & Automation: You have high proficiency in a scripting language for complex analysis and automation. You are an expert in either Python (with its data ecosystem like pandas, NumPy) or R.
• Dashboarding & Visualization: You have deep, hands-on experience creating insightful and actionable dashboards. You are an expert in at least one of our primary BI tools — Tableau, Power BI, or Apache Superset — and are comfortable navigating the others.
• Analysis as Code (GitHub): You treat analysis as code. Proficiency with Git and GitHub is essential for versioning your queries and scripts and collaborating with the team.
• Generative AI as a Force Multiplier: You are a pragmatic user of Generative AI (e.g., Windsurf, Gemini) to accelerate your workflow—from writing code and debugging issues to managing projects and summarizing findings.

Key Competencies:

• Pragmatic Problem-Solver: You have a knack for creating simple, effective solutions to complex problems and understand when a smart heuristic is better than a perfect but slow model.
• Master Communicator: You can simplify complexity, persuade stakeholders with data-driven narratives, and create clear, concise documentation for your work.
• Sustainable Code Practices: You write clean, modular, and reusable code in both SQL and your chosen scripting language. Your work is easy for others to understand, trust, and build upon.

Recruitment Process

• Application Review - Phone Interview - Virtual Onsite Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.

https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ( recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 

쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 

쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요.

직무 개요:

Coupang Ads는 쿠팡 내에서 광고 플랫폼을 담당하는 조직입니다. 세계 곳곳에 분산되어 있는 조직인 Coupang Ads는 쿠팡 플랫폼에서 상품을 판매하는 업체들을 위한 광고 솔루션을 제공하는 데 집중합니다. 디스플레이 광고, 검색 광고, 성과형 광고, 브랜딩 광고, 비디오 광고 등이 Coupang Ads가 제공하는 광고 솔루션에 포함됩니다.  

Ads Analytics 팀은 쿠팡 광고 솔루션의 수익을 극대화하고 사용자가 광고에서 가치를 얻고 전체 광고 비즈니스에 걸쳐 프로덕트 전략을 수립할 수 있도록 지원합니다. 데이터를 통합하여 실행 가능한 통찰력을 제공하고, 복잡한 비즈니스 질문에 답변하며, 고객에 대한 심도 있는 이해를 돕고 있습니다. 우리는 Ecommerce 뿐 아니라 Eats앱에서의 쿠팡 광고 사업에 초점을 맞추고 있으며, KPI를 분석하고, A/B 및 다변수 테스트 이니셔티브의 성공을 분석함으로써 이를 수행하고 있습니다.

담당 업무:

Coupang Ads의 Staff Data Scientist 로서 다음의 업무를 담당하게 됩니다.     

• 제품 및 수익화 전략: 다양한 입찰 및 수익화 모델을 개발하고 테스트하며, 변화가 수익에 미칠 수 있는 영향을 시뮬레이션합니다.
• 지표: 상품 채택, 사용, 성과 및 이탈에 대한 보고에 사용되는 일련의 핵심 성과 지표(KPI)를 제공합니다. 그룹의 수익화 노력이 효과가 있는지 파악할 수 있도록 가시성을 제공합니다.
• 예측: 인벤토리 및 수익 예측 모델을 수익 최적화 프로세스의 중요한 구성 요소로 설계 및 유지, 관리합니다. 판매 패턴을 분석하여 동향을 파악하고 재무 예측을 지원합니다.
• A/B 테스트: A/B 테스트를 설계, 수행, 분석 및 인사이트를 발굴하여 상품 이터레이션에 대해 알리고 우선순위를 정합니다. 통계적 엄밀성을 가지고 이를 수행하고 시험 결과 동인에 대한 "왜?"라는 질문에 대답하기 위해 코호트 연구를 수행합니다.
• 간결한 스토리 전달 – 테스트 완료 시 시의적절하고 설득력이 있으며 사실에 기반한 테스트 내용을 정리해 데이터와 테스트 결과에 숨겨진 비즈니스 “스토리를” 강력히 전달합니다.

기본 자격 요건:

이상적인 후보자는 광고 데이터 분석, 비즈니스 분석, 재무 분석, 시장 조사 및 경영진 보고를 수행하는 데이터 과학자로서 8년 이상의 경험을 가진 분입니다.

• 뛰어난 SQL  활용 역량
• 탁월한 정량적 분석 스킬
• 우수한 프레젠테이션 및 커뮤니케이션 스킬 
• 매우 체계적이고 디테일 중심적인 사고 
• 빠른 속도로 움직이는 조직에서 여러 이해 관계자를 위해 다수의 프로젝트를 동시에 관리할 수 있는 역량 
• 학사 학위 소지자

우대 사항:

• 광고기술 / 광고(검색, 디스플레이, 브랜딩, 리타겟팅, 소셜미디어, 스트리밍 비디오 등), 디지털 마케팅, 광고 에이전시 또는 관련 도메인에서의 경험
• 통계 분석을 위한 Python 또는 R 활용 역량
• Hive, Presto, Airflow 
• 기술 분야 석사학위 소지자 
• 통계 분야 경험이 많은 분
• 데이터 시각화 (예: Tableau, Qlik, Looker, Power BI) 
• 머신 러닝 경험

전형 절차 및 안내사항

전형 절차

1. 서류전형 > 1차 면접 > 2차 면접 > 처우협의
2. 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
3. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

참고 사항

1. 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
2. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
3. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
4. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.

개인정보 처리방침

1. 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다.
2. https://www.coupang.jobs/kr/privacy-policy

서류 반환 정책

1. 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다.
2. 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
3. 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
4. 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일 간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.

Role Overview:

Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. This includes display, search, performance, brand and video ads offerings.

Ads Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on E-commerce as well as Eats app and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives.

What you will do:

As a Staff Data Scientist at Ads, you will be responsible for -     

• Product and Monetization strategy: develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue 
• Metrics: deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts 
• Forecasting: design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting 
• A/B Testing: design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers
• Tell a Concise Story – At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes.

Basic Qualifications:

The ideal candidate has 8+ years of experience as an Analyst performing ads data analysis, business analysis, financial analysis, market research, and executive reporting. 

• Strong SQL  
• Python or R for statistical analysis
• Hive, Presto, Airflow 
• Excellent quantitative analysis skills 
• Strong communication skills 
• Highly organized and detail-oriented 
• Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization 
• Bachelors’ degree  

Preferred Qualifications:

• Strong statistics background 
• Data visualization (e.g., Tableau, Qlik, Looker, Power BI) 
• Machine Learning experience 
• Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains. 
• Master's degree in a technical field 

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.

https://www.coupang.jobs/en/privacy-policy/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

What you'll do:

• Hunt, build, and deepen partnerships across the CTV, App, and Web ecosystems with local Korean broadcasters, gaming publishers, content owners, and platforms (FAST or IPTV).
• Establish and expand programmatic inventory access while getting into the weeds to validate supply quality, drive monetization growth, and lead hands-on operational problem-solving (e.g., troubleshooting bid streams and optimizing floor prices).
• Lead complex contract negotiations across TTD’s suite of products, including OpenPath, OpenAds, UID2, and Pubdesk etc.
• Champion Korea’s open internet by educating partners on the importance of Supply Path Optimization (SPO)—including transparency and quality control—and guiding them toward best practices that maximize their overall yield.
• Serve as the internal technical and partnerships subject-matter expert on Korean supply. Partner seamlessly with the commercial (demand) teams to ensure our inventory roadmap perfectly aligns with incoming agency pipeline.
• Partner with Product, Engineering, and Marketing to provide the leadership team with on-the-ground insights that shape the long-term technical roadmap for Korea Inventory. 

This role is an agile, individual contributor position reporting to the GM, Inventory Development (North Asia).


Who you are: 

• You have 8-10+ years of programmatic experience in supply-side sales, yield management, or business development (DSP, SSP, data, or media company). Crucially, you still love getting your hands dirty in the platform. You are a self-starter who does not need a large AdOps team behind you to execute a project from start to finish.
• You have the ability to rapidly grasp new technology and product changes. You are highly comfortable with complex programmatic plumbing (OpenRTB, Prebid/Header Bidding, SDK integrations, and Identity solutions).
• You have a warm, active network of monetization and yield decision-makers across South Korea’s premium publisher space, specifically within local CTV/OTT apps and the mobile gaming ecosystem. Experience with both digital and TV advertising buying is strongly preferred.
• You possess strong quantitative and negotiation abilities. You can confidently transition publishers from flat-rate traditional sales into sophisticated programmatic yield strategies (PMPs, PG).
• You have proven experience leading long-term, complex partnership cycles while collaborating seamlessly with Sales, Account Management, Product, Marketing, Legal, and Finance teams.
• You have proven communication, questioning, and listening skills in both formal and informal settings. You know how to translate highly technical ad-tech concepts into clear commercial value for publishers while meeting strict deadlines.
• You have experience in leading long-term sales/partnership cycles and can demonstrate trust built with existing partners. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

The Site Reliability Engineering team at IMC Trading is focused on the scalability and reliability of our trading systems.

We are responsible for the operations of real-time systems, providing fast and effective incident response to keep IMC trading in the market. We work closely with traders and software developers to define short and long term improvements that make our trading systems easier to operate and more scalable. In the process, we build an understanding of IMC’s trading strategies and software stack and apply automation that allows everyone to move fast, safely.

Your Core Responsibilities:

• Provide continuity, stability, and reliability of the Korean trading production environment.
• Ensure continuity of critical trading operations, prioritising resolution of system issues with a sense of urgency: you will be the first layer of response, and will need to triage and resolve / escalate issues under time pressure.
• Support and monitor trading systems, proactively addressing problems before they are noticed
• Partner with technology and trading teams to continually evolve and deploy system architecture
• Define and own improvements to our systems and make sure they are delivered, whether by the SRE team, our dev teams or trading teams
• Making sure that quick fixes are turned into lasting solutions
• Support and oversight on corporate infrastructure where required
• Liaise with vendors for IT related tasks and problem resolutions

Your Skills and Experience:

• Fluent in English both verbal and written is a must.
• Fluent in Korean both verbal and written is a strong advantage.
• Tertiary qualifications in engineering, computer science or equivalent.
• 5+ years of experience, including 3+ years of experience in Site Reliability Engineering, Systems Integration, or a related role
• 3+ years of hands-on professional experience with Linux operating systems, network configuration, containers and orchestration tools, including Kubernetes
• Proficiency in Python and Bash is required, experience with Go, Java and C++ are desirable

FEQ227R130

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Architect production level workloads, including end-to-end pipeline load performance testing and optimisation
• Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community

What we look for:

• You will have experience in a customer-facing technical role with expertise in at least one of the following:
• Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
• Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning.
• Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value.
• Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
• Maintain and extend production data systems to evolve with complex needs.
• Production programming experience in Python, R, Scala or Java
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling big data workloads that are performant and cost-effective.
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces.
• Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
• Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow.
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Native level Korean is required and Business level English is a plus

Location: Seoul, South Korea OR Tokyo, Japan (Relocation support available)

About the Team:

The North Asia Regional Management Office partners closely with Agoda’s regional leadership to deliver actionable insights, align cross-functional objectives, and drive high-impact strategic initiatives. Our mandate is to translate top-level priorities into operational excellence, transforming early-stage concepts into scalable business opportunities that accelerate local and regional growth. 

Why Join Us? 

This is a unique opportunity to drive strategic impact at scale, working at the intersection of analytics, strategy, and operations in one of the most dynamic regions for Agoda. If you are passionate about solving complex business problems and thrive in a collaborative, high-performance environment, we invite you to join our team and shape the future of travel in North Asia. 

The Opportunity:

As Senior Manager/Lead of Strategy & Operations, North Asia, you will play a pivotal role in shaping Agoda’s strategic direction across the region. You will lead mission-critical projects, working alongside senior leaders in product, supply, marketing, and finance to deliver on our most important business objectives. Your expertise in market and data analysis will inform executive decision-making and unlock new avenues for growth. 

Key Responsibilities:

• Strategic Planning: Design and implement long-term strategies that drive sustainable business growth and competitive advantage. 
• Performance Management: Define and track key performance indicators (KPIs) to measure the impact of strategic initiatives and ensure accountability. 
• Program Execution: Lead the end-to-end delivery of strategic programs, ensuring alignment with business goals, timely execution, and continuous improvement. 
• Stakeholder Engagement: Build trusted relationships with senior stakeholders, facilitating clear communication and cross-functional collaboration to advance shared objectives. 
• Market & Competitive Analysis: Conduct rigorous market research and competitor benchmarking to identify emerging trends and inform strategic priorities. 
• Data-Driven Insights: Leverage advanced analytics to evaluate business performance and guide data-driven decision-making. 

What We’re Looking For:

• Education: Bachelor’s degree in Business, Economics, Finance, or a related field; MBA or equivalent advanced degree strongly preferred.
• Experience: Experience in strategy, management consulting, or a related discipline, with a proven record of leading complex, high-impact initiatives.
• Analytical Acumen: Exceptional quantitative and analytical skills, with the ability to distill complex data into actionable insights.
• Leadership: Demonstrated ability to lead cross-functional teams and drive projects to successful outcomes in a fast-paced environment.
• Communication: Outstanding verbal and written communication skills, with the ability to influence and engage senior stakeholders.
• Problem-Solving: Strong strategic and creative problem-solving capabilities, with a track record of addressing complex business challenges.
• Project Management: Advanced project management skills, including the ability to manage multiple priorities and deliver results under tight deadlines.
• Stakeholder Management: Experience building and maintaining relationships with key internal and external stakeholders.
• Technical Proficiency: Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) and financial modeling.

#South Korea #Japan #Singapore #Hong Kong #Strategy # Ops # Business Growth #Leadership #Agoda # Hiring

Location: Seoul, South Korea OR Tokyo, Japan (Relocation support available)

About the Team:

The North Asia Regional Management Office partners closely with Agoda’s regional leadership to deliver actionable insights, align cross-functional objectives, and drive high-impact strategic initiatives. Our mandate is to translate top-level priorities into operational excellence, transforming early-stage concepts into scalable business opportunities that accelerate local and regional growth. 

Why Join Us? 

This is a unique opportunity to drive strategic impact at scale, working at the intersection of analytics, strategy, and operations in one of the most dynamic regions for Agoda. If you are passionate about solving complex business problems and thrive in a collaborative, high-performance environment, we invite you to join our team and shape the future of travel in North Asia. 

The Opportunity:

As Senior Manager/Lead of Regional Management Office, North Asia, you will play a pivotal role in shaping Agoda’s strategic direction across the region. You will lead mission-critical projects, working alongside senior leaders in product, supply, marketing, and finance to deliver on our most important business objectives. Your expertise in market and data analysis will inform executive decision-making and unlock new avenues for growth. 

Key Responsibilities:

• Strategic Planning: Design and implement long-term strategies that drive sustainable business growth and competitive advantage. 
• Performance Management: Define and track key performance indicators (KPIs) to measure the impact of strategic initiatives and ensure accountability. 
• Program Execution: Lead the end-to-end delivery of strategic programs, ensuring alignment with business goals, timely execution, and continuous improvement. 
• Stakeholder Engagement: Build trusted relationships with senior stakeholders, facilitating clear communication and cross-functional collaboration to advance shared objectives. 
• Market & Competitive Analysis: Conduct rigorous market research and competitor benchmarking to identify emerging trends and inform strategic priorities. 
• Data-Driven Insights: Leverage advanced analytics to evaluate business performance and guide data-driven decision-making. 

What We’re Looking For:

• Education: Bachelor’s degree in Business, Economics, Finance, or a related field; MBA or equivalent advanced degree strongly preferred.
• Experience: Experience in strategy, management consulting, or a related discipline, with a proven record of leading complex, high-impact initiatives.
• Analytical Acumen: Exceptional quantitative and analytical skills, with the ability to distill complex data into actionable insights.
• Leadership: Demonstrated ability to lead cross-functional teams and drive projects to successful outcomes in a fast-paced environment.
• Communication: Outstanding verbal and written communication skills, with the ability to influence and engage senior stakeholders.
• Problem-Solving: Strong strategic and creative problem-solving capabilities, with a track record of addressing complex business challenges.
• Project Management: Advanced project management skills, including the ability to manage multiple priorities and deliver results under tight deadlines.
• Stakeholder Management: Experience building and maintaining relationships with key internal and external stakeholders.
• Technical Proficiency: Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) and financial modeling.

#South Korea #Japan #Singapore #Hong Kong #Strategy #Ops # Business Growth #Agoda # Hiring

IMC Korea Compliance team works closely with our Trading and Technology teams to manage the regulatory risks of our equity market-making activities in Korea. As a Compliance Manager, you’ll play a key role in safeguarding the business while enabling smart, innovative trading in a fast-paced, collaborative environment. This role offers broad exposure to regulatory oversight, trade surveillance, AML/CTF, and compliance operations, giving you the opportunity to make a tangible impact and grow your expertise within a dynamic global organization.

Your Core Responsibilities: 

• Regulatory Compliance & Oversight
  • Assist in managing compliance with all applicable Korean laws and regulations
  • Develop and maintain compliance policies and procedures that align with local requirements and global IMC standards.

• Surveillance & Monitoring
  • Conduct daily trade surveillance in accordance with KRX rules and internal standards.
  • Assist in enhancing surveillance tools and automating compliance monitoring processes.
  • Perform periodic compliance reviews to test adherence to internal policies and regulatory requirements; prepare findings and reports for management.

• Money Laundering Reporting Officer Responsibilities
  • Serve as the primary point of contact for AML/CFT and sanctions compliance matters in Korea.
  • Oversee IMC Korea’s AML and sanctions screening processes, including name screening, transaction monitoring, and alert management.
  • Maintain and periodically review the AML/CFT framework, ensuring its effectiveness and compliance with relevant local and global standards.
  • Deliver AML and sanctions training for new and existing employees.

• Training & Compliance Culture
  • Promote a strong compliance culture across IMC Korea by raising awareness of regulatory developments and best practices.
  • Develop and deliver compliance training for new hires and existing employees across relevant areas (e.g., market conduct, AML, sanctions, information barriers).

• Regulatory reporting & Compliance Operations
  • Prepare and submit regulatory filings and reports as required.
  • Support internal and external audits, inspections, and information requests.
  • Maintain organized documentation, records, and audit trails related to compliance activities.
  • Conduct or support research and investigations related to compliance initiatives or ad-hoc projects.

Your Skills and Experience: 

• Bachelor’s degree in finance, Business, Law, or a related field.
• Must have minimum 5 years’ experience (or 3 years with KICPA or attorney qualification) in compliance or internal audit roles within financial services, preferably in a trading environment.
• Strong knowledge of Korean financial regulations, KRX rules and AML/CFT laws.
• Fluent in Korean and English (spoken and written).
• Experience managing regulatory inquiries, audits, and inspections.
• Excellent analytical, problem-solving, and communication skills.
• Strong attention to detail and ability to work independently in a small team.
• High proficiency in Microsoft Office; familiarity with Python or SQL is an advantage.
• Knowledge of proprietary trading and market-making business models preferred.
• Fluency in English and Korean is a requirement.

IMC is seeking experienced Quantitative Traders to drive the monetisation of high to mid-frequency delta-one trading strategies within the APAC markets. In this role, you will harness your expertise to develop and execute profitable systematic trading strategies that deliver measurable results. Joining our dynamic and growing research and trading team, you’ll collaborate closely with quant researchers, software engineers, and hardware engineers to uncover opportunities, optimize performance, and enhance our production outcomes.

IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

Your Core Responsibilities:

• Develop and deploy high to mid-frequency systematic trading strategies, with a focus on APAC equities markets.
• Identify and exploit inefficiencies in financial markets, optimizing trade selection and minimizing market impact.
• Design and implement execution algorithms that account for market microstructure and dynamic liquidity conditions
• Manage and optimize risk exposures in line with the firm's risk tolerance and trading objectives.

Your Skills and Experience:

• Degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or Economics.
• 4+ years experience in quantitative trading with specific experience in the high to mid-frequency delta-one space, ideally within APAC markets.
• Strong programming skills in at least one language (python strongly preferred).
• Strong understanding of financial markets, market microstructure, and trading systems.
• Experience in modelling market impact, with a deep understanding of order book dynamics, and liquidity provision
• Experience building predictive models for order placement, timing, and sizing to reduce adverse selection and slippage.
• Strong data analysis skills, including working with large-scale financial datasets and tick-level data.
• Excellent problem-solving skills, with the ability to thrive under pressure and adapt to changing market conditions.