About the role

MongoDB 플랫폼에 대한 강력한 기술적 지지와 고객의 요구사항을 기반으로 MongoDB가 성장할 수 있도록 돕는 기술에 열정을 가진 전문가 분들을 저희의 프리세일즈 조직에 모십니다.

MongoDB 프리세일즈 솔루션 아키텍트는 고객 및 사용자들이 MongoDB 데이터 플랫폼을 활용해 신뢰할 수 있고 확장 가능한 시스템을 설계하고 구축할 수 있도록 안내합니다. 이 팀은 숙련된 기술 영업 전문가, 소프트웨어 아키텍트, 기업가, 그리고 개발자로 구성되어 있으며, 고객의 성공을 직접적으로 책임지고 있습니다. 여기에는 소프트웨어 설계, 배포, 운영 등이 포함됩니다. 이 직무는 영업 전문가들과 긴밀히 협력하며, MongoDB 솔루션을 활용해 고객의 비즈니스 문제를 해결하고, 계약 성사 및 비즈니스 개발에 중요한 역할을 합니다. 스타트업부터 세계 최대 규모의 엔터프라이즈 IT 조직에 이르기까지 다양한 사용자들에게 신뢰받는 조언자가 되어주실 분을 찾고 있습니다.

이 역할은 원격으로 근무가 가능합니다만, 필요 시 서울 오피스로 출퇴근이 가능해야 합니다.

As an ideal candidate, you will have

• 5년 ~ 8년의 고객 대면 역할 관련 경험 (최소 3년은 엔터프라이즈 소프트웨어 프리세일즈 경험)
• 최소 2년의 Python, Node.js, SQL과 같은 현대적인 스크립팅 언어 또는 C/C++, Java, C# 등 인기 있는 프로그래밍 언어를 전문적으로 다룬 경험
• 클라우드 및 온프레미스에서 확장 가능한 고가용성 분산 시스템 설계 경험
• 기존 애플리케이션의 복잡한 아키텍처를 검토하고 기술 활용을 통해 개선 방안을 제시한 경험
• 뛰어난 발표 및 커뮤니케이션 능력, 그리고 기술 및 비즈니스 리더십과 명확하고 설득력 있게 소통할 수 있는 능력
• 영업 팀과의 전략적 협업 및 다방면적 고객 전략 수립 능력
• 최대 25%의 출장이 가능하신 분
• 원활한 영어 활용 능력
• 학사 학위 또는 이에 상응하는 경력

You may also have

• 주요 클라우드에서의 애플리케이션 개발, 배포 혹은 지원 경험
• 기술 프리세일즈 경험
• 데이터베이스 프로그래밍 및 데이터 모델 경험
• 데이터 엔지니어링 또는 AI/ML 프로젝트 참여 경험
• MEDDPICC/Command of the Message와 같은 인기 있는 세일즈 방법론/프레임워크 이해
• MongoDB 및 클라우드 공급 자격증 보유 (e.g. AWS, Microsoft Azure, Google Cloud)

What you do at MongoDB

이 직무는 상황이나 데이터를 심도 있게 분석해야 하는 복잡한 기회를 다룹니다.

• 설계 및 아키텍처: 대규모 소프트웨어 프로젝트를 위해 확장 가능하고 성능이 뛰어난 애플리케이션, 시스템, 인프라 설계
• 고객 조언 및 가치 전달: MongoDB의 아키텍처 패턴과 최적화 전략을 고객에게 안내하고, 관련 이해관계자에게 비즈니스 가치를 명확히 전달
• 영업 협업: 기술적 발견, 데모, 가치 검증, 프레젠테이션 등 영업 과정에서의 기술적 부분 담당
• 수요 창출: 산업 행사 및 고객 기반 마케팅 이벤트에 참여하여 기술적 이니셔티브를 통한 수요 창출
• 고객 성공: 강력한 고객 관계 구축, 고객 챔피언 육성, 성공 및 만족 보장
• 혁신 및 개선: 필드 피드백을 제품 팀에 전달하는 등 MongoDB 솔루션 및 프로세스 혁신 및 개선
• 교육 및 개발: MongoDB 제품군 및 산업 동향에 대한 지속적인 학습과 자기 개발

What you will learn

MongoDB 제품군

• 핵심 데이터베이스 서버: MongoDB 핵심 데이터베이스의 기본 및 고급 기능 숙달
• Atlas 및 고급 서비스: Atlas(완전 관리형 클라우드 데이터베이스 서비스), Atlas 스트림 처리, Atlas 데이터 레이크, Atlas 전체 텍스트 검색, Atlas 벡터 검색 및 차트에 대한 전문성 확보
• Relational Migrator: 관계형 데이터베이스의 원활한 마이그레이션 툴

시장 관련 기술

• 하이퍼스케일러 생태계: 하이퍼스케일러 플랫폼의 클라우드 서비스를 활용하여 복잡한 시스템 설계 전문성 확보
• 보완 기술: Apache Kafka, Kubernetes와 같은 파트너 및 보완 기술 전문성 강화

현대적 아키텍처 설계

• 설계 패턴 및 방법론: 마이크로서비스, DevOps, 클라우드 및 보안의 모범 사례 수용
• 최첨단 RAG 및 AI 아키텍처: 생성형 AI 여정에서 고객을 지원하고, 해당 분야의 선도적인 파트너와 협력

영업 기술 및 소프트 스킬

• 효과적인 커뮤니케이션: 프레젠테이션, 데모 및 화이트보드 기술 숙달
• 고객 상호작용: 발견 및 이의 제기 처리 전략 개발

업계 통찰

• 다양한 시장 분야: 다양한 산업 전반의 흥미로운 사용 사례에 대한 경험

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

This role is remotely in the South Korea region.

As an ideal candidate, you will have:

• 5 to 8  years of related industry experience, ideally 2 years of experience in a customer facing role. 
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. 
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle.
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience
• [Placeholder for required security clearance]

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB.
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders. 
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database.

• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts.

• Relational Migrator: Learn to migrate from relational databases seamlessly.

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms. 

• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes.

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security.

• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding.

• Client Interaction: Develop strategies for discovery and objection handling.

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

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

마크비전의 Legal & Expert Service 팀은 전방위적으로 확대되는 글로벌 브랜드들의 IP (상표, 디자인) 침해 사건들에 대한 현장 단속 및 조사를 포함한 오프라인 제재를 신속하게 수행하고 있습니다. 중국 오피스 및 글로벌 고객사들과 긴밀하게 협력하며 IP 침해 사례에 대한 조사, Test Purachase 업무를 집중적으로 진행하며 중국의 Directdor of Legal & Expert Service, APAC 에게 리포트합니다. 장기적으로 IP/Legal 업계의 기술과 서비스의 혁신을 함께 경험하며 글로벌 IP/Legal 커리어의 확장을 원하시는 분들의 합류를 기다립니다!

What You’ll Achieve  

• Conduct investigative Test Purchases and write reports for clients.
• Communicate with global partners regarding legal actions for clients.
• Communicate internally to facilitate on-going investigations for clients.
• Conduct research on sellers online, as well as different IP laws around the world.
• Facilitate actions against counterfeit sellers.
• Manage database of ongoing cases.
• Provide/assist in providing any other brand protection services as required by our customers.

Skills You’ll Need to Bring 

• Bachelor's degree or equivalent practical experience.
• Ability to fluently read, write, and speak English and Korean in a business environment.
• Ability to work well under pressure and tight deadlines.
• Ability to conduct work according to provided guidelines accurately and with minimum mistakes.
• Experience working in a multicultural environment, handling work in different time zones.

Nice to Have

• Experience working in a legal environment such as Law Firms or Corporate Legal Teams.
• Prior experience with authentication of counterfeit goods or any related investigative work.

Additional Reference

• MarqVision Company Blog
• Leadership Team  

Be Part of the MarqVision Team

• 전 세계 10여 개국의 팀원들과 함께 글로벌한 임팩트를 만들어갈 수 있습니다.
• 유연근무제(8~10AM 출근)와 재택근무(주 2일)를 통해 최적의 업무 환경을 선택할 수 있습니다.
• 입사 시 미국 주식 기반의 스톡옵션을 제공합니다.
• 구성원들의 건강을 위해 정기 건강검진을 지원합니다.
• 개인의 성장을 위해 오피스에서 영어 회화 교육을 지원합니다.
• 오피스 출근 시 점심 식대를, 야근 시 저녁 식대 및 택시비를 지원합니다.
• 팀 빌딩을 위한 팀 단위 회식비를 지원합니다.
• 다양한 간식, 음료, 커피, 맥주 등을 제공합니다.

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  > 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.

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.

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 지하며, 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 소개 

SCM Autonomation 조직은 쿠팡의 고객을 위해 수요 예측, 발주 알고리즘, 재고 시뮬레이션 및 협력 업체 관계 관리 시스템 개발을 담당하고 있습니다. 우리는 고객들의 수요를 예측하고 고객이 구매를 희망하는 상품의 재고를 미리 확보하여 로켓배송과 로켓프레시 비즈니스의 성장을 지원하고 있습니다.  

업무 내용

• 아이디어부터 프로덕션 수준의 인사이트까지 전체 사이클 리드: 이 역할의 핵심입니다.
  • 스마트 휴리스틱 개발: 공급망 시스템의 약점을 선제적으로 파악하고, 실용적이고 창의적인 로직을 개발합니다. 주요 초점은 예측 보정 로직(모델 실패 시 대체), 품절(OOS) 원인 분석 모델, 초과 재고 플래그 규칙입니다.
  • 빠른 POC(Proof-of-Concept) 구축: 아이디어를 신속하게 검증하기 위해 POC를 직접 개발합니다. 예: ‘공급 지연’, ‘예측 부족’ 등 품절 원인을 자동으로 분석하는 Root Cause Analysis 대시보드.
  • 프로덕션화 추진: 수요 계획 및 엔지니어링 팀과 협력하여 검증된 POC를 실제 시스템에 반영합니다. 로직이 핵심 재고 계획 시스템에 정확히 통합되도록 전문가 역할을 수행합니다.
• 재고 건강 전문가 역할: 품절률, 판매율(Sell-Through) 등 핵심 공급망 KPI 분석을 담당합니다. 단순 보고가 아니라, 그 원인을 명확히 설명합니다.
• 데이터 번역가 역할: 기술 및 비기술 파트너와 적극적으로 소통하여, 분석 결과의 ‘무엇’뿐 아니라 ‘왜 중요한지’를 명확히 전달합니다.
• 멘토링 및 팀 역량 강화: 리드로서 다른 분석가를 지도하고, 고효율·재현 가능한 분석을 위한 베스트 프랙티스를 확립합니다.

자격 요건 

• 데이터 분석, BI, 또는 관련 정량 분야에서 7년 이상 경력
• 개발 백그라운드 선호: 시스템 관점에서 사고하고 장기적 솔루션을 구축할 수 있는 능력. 개발자로 커리어를 시작했거나 소프트웨어 엔지니어링 원칙을 요구하는 역할 경험 보유.
• SCM, 재고 관리, 수요 계획 관련 도메인 전문성 우대. 이커머스 경험도 큰 장점.

핵심 기술 역량 

• SQL 전문가: 대규모 데이터셋을 효율적으로 처리하는 깔끔한 쿼리 작성 능력. Redshift, Hive 등 주요 데이터 플랫폼 경험 필수.
• 데이터 스크립팅 & 자동화: Python(pandas, NumPy) 또는 R에 대한 높은 숙련도.
• 대시보드 & 시각화: Tableau, Power BI, Apache Superset 중 하나 이상 전문가 수준.
• Analysis as Code: Git/GitHub 활용 능력 필수.
• Generative AI 활용: Windsurf, Gemini 등 생성형 AI를 활용해 코드 작성, 디버깅, 프로젝트 관리, 분석 요약 등 업무 효율 극대화.

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.

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.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in South Korea.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

About Us

AIFT is at the forefront of AI safety and security, developing cutting-edge solutions, Vulcan Attack (automated vulnerability assessment/red teaming) and Vulcan Protect (real-time monitoring), to ensure AI systems are robust, trustworthy, and aligned with societal needs.

Our Product

Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. 

Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM & GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. 

The Role

We are seeking a passionate and highly skilled GenAI Security Researcher to join our team. You will conduct applied and theoretical research into AI vulnerabilities, attack/defense methods, and security/safety benchmarking. Your work will directly shape our AI safety products, contribute to research communities, and influence industry standards and regulations.

What You'll Do

• Research: Investigate adversarial attacks, data poisoning, prompt injection, jailbreaks, and other AI system vulnerabilities in multi-modalities (e.g., text, image, video, and audio). Design and evaluate mitigation strategies, including fine-tuning, guardrails, content filtering, and robust model architectures.
• Benchmarking: Develop and maintain AI security evaluation frameworks, datasets, and performance metrics.
• Collaboration: Partner with product and partnership teams to integrate the findings into our AI security solutions.
• Dissemination: Publish findings in top-tier conferences and journals, present at industry events, and contribute to open-source initiatives.

What We're Looking For

• Research skills: Advanced degree (e.g., MSc/PhD) with strong analytical thinking, problem-solving skills, and ability to translate research into practical solutions.
• Knowledge: Deep understanding of relevant techniques, such as generative AI, security & privacy, computer vision, signal processing, and human-computer interaction.
• Communication skills: Clearly explain complex concepts in layman's terms.
• Proficiency in English: Write and read documents, communicate with team members in English.
• Teamwork: Work closely with our members to deliver value.
• Agility: Adapt quickly to changing research priorities and emerging AI security threats.
• Coding skills: Proficiency in Python and experience with experimentation.

Nice to Have

• Publication record in top-tier journals and conferences in AI, security & privacy, computer vision, signal processing, and human-computer interaction.
• Experience with white-hat hacking and security tools.
• Familiarity with industry frameworks, such as OWASP Top 10 LLM, MITRE ATT&CK, and security standards.
• Proficiency in multiple languages.

Why Join Us

• Solve high-impact AI security challenges shaping the future of trustworthy AI.
• Collaborate with world-class researchers and engineers in a mission-driven environment.
• Competitive compensation, flexible working arrangements, and professional growth opportunities.

How to Apply

• Submit your English CV containing education and work experience with a publication list (underline your name in the author list).