Server Developer - Platform

Join our dynamic Server Platform team at Toss, where we play a critical role in ensuring the stability and reliability of all Toss services. Our team is dedicated to building a solid foundation for our services to operate smoothly.As part of the Server Platform team, you will collaborate closely with Site Reliability Engineers focused on preventing outages, …

As a Senior Data Scientist, you will be instrumental in aligning our innovative AI solutions with the distinct requirements of our manufacturing clients. Your primary focus will be on spearheading the creation of cutting-edge AI applications that address intricate industry challenges, fostering innovation and boosting productivity.We are looking for an experienced data scientist adept at deriving meaningful insights from manufacturing data. Your responsibilities will encompass mining, interpreting, and analyzing customer data to unearth hidden opportunities and maximize its potential. Furthermore, you will engage directly with customers to understand their challenges and unique data characteristics. Through this close collaboration, you will design customized data models and tools tailored to their specific needs. Additionally, you will work alongside our cross-functional teams to conceptualize, design, and develop groundbreaking AI products for manufacturing by identifying new product features rooted in your understanding of customer data.Join a team of passionate innovators dedicated to transforming the future of manufacturing. Take the initiative in pioneering advanced AI projects that significantly affect real-world outcomes. Collaborate with a diverse and talented group of experts where your ideas will be highly valued, and your contributions will propel Gauss Labs towards becoming the global leader in industrial AI innovation.

Coupang seeks a Senior Data Analyst to join the Eats Analytics team in Seoul. This position centers on using data to inform decisions that shape the Coupang Eats customer experience. Role overview The Senior Data Analyst will work closely with teams developing new solutions for Coupang Eats. Analysis and insights from this role help guide improvements and respond to evolving user needs. What you will do Analyze data to support decisions that enhance the Coupang Eats customer journey Collaborate with teams to develop and refine solutions based on user data Monitor and interpret trends to help teams adapt to changing customer requirements Location This role is based in Seoul, South Korea.

Toss Securities is seeking an IDC Infrastructure Engineer (Network & System) to help build and maintain the backbone of our data center operations in Seoul. This position focuses on ensuring the stability, efficiency, and continuous improvement of our large-scale infrastructure, covering everything from network design to physical equipment and operational processes. The role is primarily based at our modern data center (IDC), working closely with a team of network and system engineers. What you will do Design hardware architectures for network and server infrastructure, including equipment selection and implementation standards. Develop data center network architectures (such as Spine-Leaf and redundancy) and server/storage configurations. Define technical standards for bandwidth, NIC specifications (10G/25G/100G/400G), cabling (OM, LR/SR, MPO), and switch port setups. Plan physical infrastructure, taking into account rack space, power, and environmental needs. Set and manage organization-wide standards for equipment models, firmware, and configuration templates. Install, configure, and operate servers, storage, and network equipment on site, driving ongoing improvements. Oversee equipment transport, installation, and relocation, ensuring quality and safety throughout the process. Coordinate with contractors for cabling and equipment setup, maintaining technical standards and quality control. Monitor the IDC environment (power, temperature, network, equipment status) and respond proactively to anomalies. Lead first-level incident response and root cause analysis, working to prevent recurrence and resolve complex issues across network, system, and physical layers. Manage the lifecycle of IDC assets, ensuring data integrity and optimizing long-term operational plans for capacity, power, and space. Collaborate with colocation service providers and partners to manage schedules, quality, and costs. Automate repetitive operational tasks, such as firmware upgrades and configuration deployments, and build monitoring/CMDB integrations using SNMP and REST API. Establish and refine operational standards, procedures, and policies for ongoing efficiency. Requirements At least 5 years of experience in data center (IDC) or infrastructure design and operations. Experience designing data center network architectures (Spine-Leaf, redundancy, etc.). Understanding of server/storage hardware and operating systems (Linux, Windows, Hypervisor). Ability to design at the hardware level, with knowledge of NICs, cabling, and switch ASICs. Experience with IDC space planning, rack layout, power, and space design and operations. Background in large-scale equipment installation, relocation, and asset management within IDC operations. Problem-solving skills that address both physical and logical aspects of incidents. Strong communication skills for effective collaboration with contractors and internal teams. Experience with equipment implementation proof-of-concept (PoC), vendor evaluation, and performance validation. Proven ability to create infrastructure standard documents, such as design guides and operational procedures.

About the Team You'll Join The Business Data Analyst will be part of the Corporate Initiatives Team within the Strategy Tribe of Toss Bank's Strategy Division. This team plays a critical role in management planning by deriving insights for corporate-level decision-making and discovering new initiatives. We develop, measure, and analyze key performance indicators (KPIs) across the organization to manage overall performance. Your role will involve collaborating with various teams to facilitate data-driven decision-making, interpreting the current state of Toss Bank, and envisioning its future. Your Responsibilities Will Include Building data foundations for key management decisions and supporting process establishment. Structuring management information to provide accurate and timely insights to Toss Bank team members. Designing and enhancing frameworks for establishing enterprise OKRs, analyzing contributions of product organizations, and conducting cost-benefit analyses to support critical decision-making. Structuring and automating performance management systems. Creating data foundations that enhance not only short-term performance but also long-term growth and the value of Toss Bank as a platform, ensuring sustainable growth. Building processes and frameworks to connect user data with financial and operational data for holistic analysis. Supporting team members in understanding how their work impacts overall metrics through a common language and framework for data-driven decision-making. We're Looking For Someone Who Can independently carry out the entire process of data analysis from data cleansing to problem definition and insights generation. Has over 5 years of practical experience in data analysis using SQL. Experience with statistical analysis tools such as Python or R is a plus. Is proficient in at least one data visualization tool (Tableau, Redash, Power BI, Google Data Studio, etc.). Possesses strong communication skills to convey analytical results clearly. Has experience collaborating with teams focused on data analysis, strategic planning, management control, or FP&A from an enterprise perspective. Can quickly grasp the company's current situation, identify issues, and propose new alternatives and strategies. Resume Submission Guidelines There are no specific formats or items required. Please present your experiences in a way that best showcases your qualifications. It’s beneficial if your resume outlines the problem definition, hypothesis setting, experimental design and validation, and outcomes of projects you've undertaken. If you have experience proposing new alternatives and strategies based on a solid understanding of the business, please include that. Journey to Joining Toss Bank Application submission > Pre-query test > Job interview > Cultural fit interview > Reference check > Salary negotiation > Final acceptance and onboarding.

회사 소개Coupang Logistics Services (CLS)는 택배사업, 화물운송, 물류창고 등 종합 물류 서비스를 제공하는 쿠팡의 물류 전문 계열사입니다. CLS는 고객에게 최적의 배송 서비스를 제공하기 위해 혁신적인 분류작업 인력과 전문 배송직원을 운영하며, 쿠팡의 로켓배송을 기반으로 한 미래 물류의 혁신을 선도하고 있습니다. 업무 내용1. 차량 데이터 정리 및 기본 분석 (Data Engineering Basics)차량 주행 및 정비 데이터를 엑셀 또는 Python 스크립트를 활용하여 정리 및 표준화합니다.데이터 품질을 검토하고 오류 및 이상값을 식별하는 기본 QA 작업을 수행합니다.단순 반복 작업을 자동화할 수 있는 기초 로직을 설계합니다.2. AI 기반 업무 효율화 지원 (Smart Work)운영 지표를 자동으로 산출할 수 있는 기본 구조를 설계합니다.LLM(ChatGPT 등) 또는 No-code/Low-code 툴을 사용하여 단순 업무의 자동화를 지원합니다.AI 도구를 활용한 리포트 자동 생성 및 텍스트 요약 등을 통해 업무 효율성을 증대합니다.3. 데이터 기반 운영 인사이트 도출정비 네트워크의 운영 데이터를 분석하여 개선 포인트를 제안합니다.차량 교체 시점 및 비용 패턴에 대한 예측 분석을 지원합니다.데이터 기반 의사결정을 돕는 리포트를 작성합니다.4. 대시보드 기초 구축 및 운영 지원Tableau, Power BI 등의 도구를 활용하여 기본 대시보드를 제작합니다.운영팀이 쉽게 활용할 수 있도록 데이터 뷰를 정리하고 업데이트합니다.간단한 인터랙티브 리포트를 구성합니다.

Join CLO Virtual Fashion, a pioneer in the realm of digital fashion, where we blend cutting-edge 3D garment simulation algorithms to provide comprehensive services ranging from concept development to design, manufacturing, marketing, fitting, and styling.Founded in 2009, we are committed to creating a new ecosystem for digital fashion. Our innovative platforms, including CLO, Marvelous Designer, and Jinny, along with CLO-SET and CONNECT, enhance the garment creation journey, fostering efficient and sustainable workflows. Our solutions ensure seamless interaction between physical and digital clothing within the CLO ecosystem.CLO Virtual Fashion is leading the global digital fashion market with 14 offices across 12 countries, including Asia, North America, Europe, and South America, continuously expanding our reach through numerous client partnerships worldwide.Position OverviewThis role transcends mere data analysis; you will define key issues for our Product and Business, steering the direction of growth through experimentation. We seek a proactive individual who can not only create dashboards but also ensure that metrics translate into actionable insights and decisions.The Data Analyst will lead data processing and analysis, enabling users to effectively utilize our products and ultimately enhancing the user lifecycle with CLO. You will manage various data generated from our main products (CLO, Marvelous Designer, CLO-SET, CONNECT) and facilitate effective decision-making by processing and organizing data to support seamless communication within the organization. Additionally, you will establish hypotheses, design logical structures for data extraction and analysis to derive implications and insights, experiencing the entire process from A to Z.Hiring Process[Document Review] → [Assignment Assessment] → [1st Interview] → [2nd Interview (+Reference Check)] → [Compensation Negotiation] → [Final Acceptance]* The 1st interview includes an English interview and SQL Live test.* Reference checks may be requested during the scheduling of the 2nd interview.

Join Our Dynamic Team! As a Network Engineer at Toss Securities, you will be a crucial member of our Network Engineering Team, collaborating closely with Network Security Engineers and IDC Managers. Your role will involve building systems for both external and internal clients while managing our IDC. Work alongside exceptional team members from various sectors, including finance, commerce, portals, and gaming. We are committed to our mission of enabling our teams to focus solely on product development by building robust infrastructure capable of supporting large-scale traffic and promoting automation for faster product launches. Your Responsibilities: Maintain and enhance all network systems at Toss Securities to ensure optimal performance. Design and operate the office network environment for Toss Securities. Architect and implement multi-data center networks to ensure uninterrupted service. Your Qualifications: Minimum of 7 years of experience in network design and operations, specifically with dynamic routing protocols (BGP, OSPF) for multi-data center integration. Strong understanding of various network protocols across L1 to L7 (IP, MAC, TCP, HTTP, SSL, mTLS) and experience in packet analysis. In-depth knowledge and experience of NETWORK OVERLAY technologies (ACI, VXLAN, EVPN, MP-BGP, IS-IS, Fabric). Experience in operating L7 switches with BGP-based Route Health Injection (RHI) for server load balancing. Preferred Qualifications: Experience collaborating with various internet service providers (ISPs) and cloud service providers for multi-data center integration and line load balancing. Background in designing and implementing networking and security devices for large data centers. Familiarity with open-source network monitoring solutions or relevant development experience. Experience in AI data center networking and ANYCAST network services. Experience in automating L2 & L3 switches and L4 & L7 load balancers using APIs. Experience conducting BMT and PoC and writing RFPs. Experience building and optimizing cloud networks, especially in hybrid and multi-cloud environments. Experience using AI-driven MCP for infrastructure operations. Resume Guidelines: Describe your most significant technical problem-solving experiences (optimizations, bug fixes). Detail projects you have contributed to, including duration, role, technology stack, and improvements made. Share experiences of attempts and failures aimed at enhancing network operations. Specify the vendors of the equipment you have worked with. Application Process at Toss Securities: Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Joining. Please Note: Any discrepancies or disciplinary issues in your resume or work history may result in the cancellation of your application.

# About the Team- As an MLE (Commerce Recommendation) in the Toss Commerce domain, you will play a pivotal role in optimizing product visibility.- Our focus is on designing and enhancing recommendation models based on diverse data sources to present users with more relevant and appealing products.- This team leads the full spectrum of machine learning development, from problem definition to training, performance analysis, and enhancement.- We are building a product recommendation platform that provides meaningful shopping experiences for users by leveraging various ML techniques.- **Interested in learning more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)# Responsibilities- Develop models to predict product click-through rates (CTR), conversion rates (CVR), and other key metrics based on user behavior, product information, and contextual data.- Design and refine recommendation algorithms to optimize product exposure using predictive outcomes.- Conduct iterative experiments including model performance analysis, feature engineering, and hyperparameter tuning to enhance recommendation quality.- Quantitatively validate the impact of model improvements through various experiments and offline/online performance metrics.- Collaborate with domain experts and data analysts when necessary to accurately define and solve recommendation challenges.# Ideal Candidate- We prefer candidates with experience in developing recommendation systems or predictive ranking models.- Candidates who have designed and improved machine learning models for predicting user responses, like CTR and CVR, will be highly regarded.- Experience in experimenting, tuning, and analyzing models using various features is a plus.- Familiarity with major ML frameworks such as PyTorch, TensorFlow, and LightGBM is advantageous.- Candidates who have engaged deeply in problem definition and performance analysis beyond merely training models are welcome.- Strong communication skills and the ability to think data-driven while articulating complex problems clearly are essential.# Resume Tips- Detail any impactful projects you have undertaken that influenced your organization significantly.- Explicitly describe the problems you defined, the approaches you selected, and the methods you used in modeling-centered projects.- Highlight any quantitative problem-solving processes you have engaged in through iterative experimentation and performance analysis.# Journey to Join TossApplication > 1st Technical Interview (Coding) > 2nd Technical Interview > Cultural Fit Interview > Reference Check > Offer Negotiation > Final Acceptance- The first technical interview will include a simple coding test, resume review, and ML fundamentals assessment.- The second technical interview will focus on in-depth technical discussions and ML system design.# A Note for Potential Colleagues> "This role goes beyond mere modeling; it makes an impact in business."- The most fulfilling aspect of working at Toss is that we do much more than just modeling.- Previously, my tasks were limited to inputting data into existing models for performance evaluation, but now I am engaged in integrating unaggregated data into models and contributing to impactful solutions based on user understanding for our super app!

Role overview Coupang Eats seeks a Senior Data Analyst to guide strategic decisions and enhance the user experience for its food delivery platform. This role is based in Seoul, South Korea. What you will do Examine complex datasets tied to food delivery operations and customer behavior Generate insights that shape business strategy and drive product improvements Collaborate with cross-functional teams to spot opportunities and address challenges Share findings and ideas that help boost operational efficiency and customer satisfaction Impact Data-driven recommendations from this position influence daily operations and contribute to long-term improvements at Coupang Eats.

Join Coupang as a Senior Staff Machine Learning Engineer in our Eats Search & Discovery team!In this role, you will leverage cutting-edge machine learning techniques to enhance our search capabilities and improve the customer experience. Your expertise will guide the development of innovative algorithms that power our platform.Key Responsibilities:Design and implement scalable machine learning models.Collaborate with cross-functional teams to integrate models into production.Analyze data to improve algorithms and enhance performance.Mentor junior engineers and contribute to the team’s knowledge base.

About the Team You Will Join The Digital Finance Research Team is part of Toss Insights, dedicated to analyzing various forms of financial and economic data based on academic methodologies and leading research on structural changes in the digital finance environment. The team collaborates with researchers from diverse fields such as finance and economics, utilizing a unique research environment that leverages both domestic and international financial data, as well as large-scale user behavior data owned by Toss for research purposes within legal boundaries. The research outcomes directly influence strategic decision-making within Toss Community and contribute to the expansion of the knowledge ecosystem in digital finance through publication in domestic and international journals and collaborative research with government and regulatory bodies. Your Responsibilities Utilize high-frequency unstructured user behavior data to define research questions in the digital finance sector and independently design and conduct empirical research. Apply methodologies such as Natural Language Processing (NLP) and Machine Learning-based Causal Inference (Causal ML) to derive data-driven strategic insights on key research topics, including consumer behavior in finance, platform effects, and credit risk. Collaborate with researchers within the Digital Finance Research Team (in the fields of financial economics and macroeconomics) to conduct interdisciplinary research that combines methodological expertise with financial domain knowledge, and communicate results through research reports, seminars, and conferences. Who We Are Looking For We need a candidate with a PhD in Data Science, Statistics, or Economics, who has experience applying methodologies such as NLP, Machine Learning, and Causal Inference in research or practical settings. Proficiency in handling large unstructured datasets, with the ability to perform end-to-end analysis from data collection to modeling and interpretation using tools like Python or R is essential. A strong interest and understanding of the financial economics domain, with the ability to pursue methodological rigor and business impact simultaneously is required. Having publications in international peer-reviewed journals since 2022 would be a significant advantage. Your Journey to Joining Toss Insights Application Submission → Job Interview → Cultural Fit Interview → Reference Check → Compensation Discussion → Final Acceptance Applications will be reviewed continuously, and only those who pass the document screening will be individually notified. Candidates with disabilities and veterans will be given preference in accordance with relevant laws. A Note for Potential Colleagues "Toss Insights aims to enhance accessibility to finance and design a new financial future. In a rapidly changing financial environment, we analyze trends and regulations to provide users with positive financial experiences. If you want to create a success equation that brings innovation to finance alongside Toss, join us now!"

Coupang Corp. seeks a Data Analyst and Insights Specialist to join the team in Seoul, South Korea. This junior-level position centers on supporting data-driven decisions for the company’s e-commerce operations. Key responsibilities Work with large datasets to uncover trends and patterns relevant to the business Translate analytical findings into clear, actionable recommendations Support business strategy development and initiatives aimed at improving customer experience Role focus This role emphasizes practical analysis that informs decision-making. The specialist will contribute insights that help shape Coupang’s approach to e-commerce challenges and opportunities. Location This position is based in Seoul, South Korea.

Coupang is revolutionizing the commerce landscape, aiming to impress customers from the moment they launch the Coupang app until their orders arrive at their doorstep. With a dynamic end-to-end retail and logistics network, combined with a strong customer-centric culture, Coupang has eliminated the trade-offs between speed, selection, and pricing. We aspire to make you wonder, 'How did I ever live without Coupang?' Join our Inbound Supply Chain Management System (SCM) team as we tackle complex challenges using cutting-edge technology: Determining the optimal products to purchase from various vendors. Deciding the appropriate quantities of each product to acquire. Strategically positioning our inventory to ensure the fastest delivery to customers. Establishing the ideal inventory levels in each fulfillment center at the lowest possible cost. We are looking for a talented Data Scientist with a broad mastery of machine learning techniques. You will be responsible for developing, prototyping, and implementing innovative models using various methodologies including Supervised, Unsupervised, and Reinforcement Learning. We seek forward-thinkers who can harness generative AI to create, advocate for, and deploy state-of-the-art solutions to unprecedented challenges. Key Responsibilities: Exhibit comprehensive technical expertise in feature engineering for large datasets, perform effective exploratory data analysis, and build models using industry-standard AI/ML algorithms, including Large Language Models. Demonstrate proficiency in both Supervised (e.g., Linear/Logistic Regression) and Unsupervised algorithms (e.g., K-means clustering). Translate large datasets into actionable business insights, integrating analytics with marketing management. Collaborate closely with internal stakeholders, including business teams, engineering teams, and partners to align objectives. Innovate by adapting new modeling techniques and processes. Passionately work with extensive datasets, focusing on training and fine-tuning to address business inquiries. Possess deep expertise in dataset creation and management. Implement and operate stable, scalable data flow solutions from production systems into end-user applications and reports, ensuring solutions are fault-tolerant and adaptive. Utilize distributed machine learning and statistical methods to efficiently process large volumes of data to enhance customer service.

Coupang Logistics Services (CLS) is a subsidiary of Coupang specializing in end-to-end logistics across South Korea. The company manages parcel delivery, freight transport, cargo forwarding, warehousing, and cargo classification. CLS is recognized as a designated parcel transport provider by the Ministry of Land, Infrastructure and Transport. Its operations rely on dedicated sorting teams and professional delivery staff, called Coupang Friends, who support delivery camps throughout the country. This network is essential to the reliability of Coupang's Rocket Delivery service. CLS invests in logistics solutions to enhance customer satisfaction, drawing on operational expertise and the infrastructure supporting Rocket Delivery. The company focuses on continuous improvement and innovation within the logistics sector.

Join Our Team As a Machine Learning Engineer at Toss Securities, you will be part of the AI Tribe, collaborating with Data Engineers, Server Engineers, Frontend Engineers, Product Owners, and Product Designers. The AI Tribe aims to create data services that provide essential information to investors using data from various securities domains and cutting-edge Machine Learning technologies. Our focus is on developing personalized recommendation systems and utilizing LLM-based technologies. Your Responsibilities Develop personalized services based on diverse securities domain data and user behavior data. Experiment with reinforcement learning, deep learning, and machine learning methodologies to build recommendation models. Formulate and validate hypotheses regarding user information consumption, enhancing our services in the process. Define the criteria for recommendations and user profiles beyond simple item suggestions. Ideal Candidate Experience in validating hypotheses through personalization and recommendation systems in real-world applications. Strong foundational knowledge of recommendation system domains. Hands-on experience experimenting with and optimizing various deep learning and machine learning-based recommendation models. Familiarity with modeling based on actual user behavior data from apps. Resume Tips Detail your projects or services, including their objectives and outcomes. Focus on impactful projects or services. Explain the problems you solved and the technologies you used. If certain information is sensitive, please omit those details. Technologies Used at Toss Securities Predict user behaviors through User Modeling based on diverse user data. Build deep learning recommendation models by defining and utilizing User Features. Implement Multi-Armed Bandit (MAB) technology in our recommendation services. Generate and validate data as needed, fine-tuning and testing Large Language Models. Conduct experiments and build Retrieval/Chunking/Reranker/Generation models to establish RAG systems. Application Process Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer and Onboarding Important Notes Any false information found in your resume or documents may lead to cancellation of your application. Individuals prohibited from hiring under Toss Securities regulations may have their applications canceled. Disabled individuals and those eligible for national veterans' benefits will be given preference in accordance with relevant laws. A Message to Future Colleagues “We are looking for colleagues who are ready to innovate financial services through Machine Learning technology!” Investors in the financial market require vast amounts of information to make informed decisions, but knowing what information to seek and where to find it can be challenging.

At Coupang, we exist to deliver exceptional customer experiences. When our customers say, "How did I ever live without Coupang?" we know we've fulfilled our mission. With unwavering dedication to making shopping, dining, and everyday life more convenient, Coupang is driving innovation across the multi-billion-dollar e-commerce industry. As one of the fastest-growing e-commerce companies, we have established a unique presence in the domestic commerce sector and built strong customer trust.Coupang takes pride in being a globally listed company rooted in startup culture. This agility from our founding continues to fuel our growth as we constantly launch new services and expand our business. Every employee at Coupang has the opportunity to embody an entrepreneurial spirit and drive new innovations and initiatives. Our boldness to dive into work and achieve results is the essence of how we operate. Here at Coupang, you will witness daily growth in yourself, your colleagues, your team, and the company as a whole.All Coupang employees are genuinely committed to shaping the future of commerce. We tackle customer challenges head-on, defying traditional notions and pushing beyond achievable limits. If you seek a remarkable work experience in a hyper-connected world with high availability and cutting-edge technology, join Coupang now.Job OverviewThe SCM Autonomation team is responsible for developing demand forecasting, ordering algorithms, inventory simulations, and supplier relationship management systems to serve our customers. We aim to predict customer demand and ensure the availability of products customers wish to purchase, thereby supporting the growth of our Rocket Delivery and Rocket Fresh businesses.Key ResponsibilitiesLead the Entire Insight Cycle: From ideation to production-level insights, this is central to the role.Smart Heuristic Development: Proactively identify weaknesses in supply chain systems and develop practical, creative logic. Key focus areas include prediction correction logic (fallback for model failures), out-of-stock (OOS) root cause analysis models, and overstock flag rules.Rapid Proof-of-Concept (POC) Development: Quickly develop POCs to validate ideas. For example, creating a Root Cause Analysis dashboard that automatically analyzes causes of stockouts, such as supply delays and inadequate forecasting.Production Implementation: Collaborate with demand planning and engineering teams to integrate validated POCs into actual systems, ensuring logic is accurately incorporated into core inventory planning systems.Inventory Health Expertise: Analyze key supply chain KPIs such as out-of-stock rates and sell-through rates, providing clear explanations for underlying causes rather than just reporting numbers.Data Translator Role: Actively communicate with both technical and non-technical partners to clearly convey not just the 'what' of analysis results, but also 'why it matters.'

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: 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 “스토리”를 강력히 전달합니다.

# About the Team You'll Join- As a Data Product Manager (AI) at Toss Bank, you will lead the rapid experimentation of AI/ML-driven features and products, connecting them to actual user experiences to drive product success.- Upon joining, you will collaborate with the ML Service Team to discover, plan, implement, and operate AI-based products.# Responsibilities You Will Undertake- You will spearhead the end-to-end planning and improvement cycles of AI and ML-based products.- Define and execute how various AI and ML technologies should function in Toss Bank's customer-facing or internal products.- Collaborate closely with Data Scientists and ML Engineers to bridge technology and product.- Understand complex technical, business, and regulatory requirements, designing domains with developers while strategically solving problems.- Define business impact, design metrics, and enhance products through A/B testing and iterative experimentation.- Design user experiences and business structures from a long-term perspective, focusing on AI.# Ideal Candidate Profile- We are looking for someone with experience or strong interest in services utilizing AI Agents, LLM, and ML.- You should possess experience leading high-complexity or uncertain challenges to completion.- We value those who wish to engage not just in project management but also in transforming organizational development processes and cultures, working with diverse stakeholders (planning/design/development/operations/partners) to build a stronger team.- You need to have the ability to create incremental outcomes by considering both business impact and technical feasibility.- We want someone proactive who can think comprehensively about challenges, redefine them when necessary, and lead towards better solutions.- Practical experience designing and operating ML-based products or systems is a plus.# Resume Submission Tips- Clearly detail your direct contributions to products/services/projects.- Your resume should reflect a clear flow from problem definition to solution derivation, collaboration with stakeholders, and outcome.- Instead of merely listing tasks, include achievements and insights gained during the process.- Highlight any experience where you contributed to measurable outcomes or improvements in business metrics.- Share experiences where you collaborated with multiple developers to resolve complex technical issues.# The Journey to Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.# Important Notes- If any false information is found in the resume or if disciplinary actions are confirmed during employment history, the recruitment may be cancelled.- Candidates with disqualifying reasons as per Article 8 (Disqualification) of Toss Bank’s employment regulations may have their recruitment cancelled.- Individuals with disabilities or national veterans are preferred according to relevant laws.# A Colleague's Insight"It's not just about having great technology; it gains meaning when it connects with customer experiences."- At Toss Bank, the AI PM does not limit themselves to experiments and ideas. They take full responsibility for how technology solves problems and what experiences it provides to users.- By collaborating closely with Data Scientists and ML Engineers, decisions are guided not only by metrics but also by actual user feedback. If technology isn't functioning well or fitting the context, it’s also the PM's role to shift direction and redefine the problem itself.- This is a team where such considerations are natural and rapid experimentation is encouraged!

Overview:Are you a tech-savvy individual with a knack for discovering information online using minimal keywords? Do you aspire to shape the future of global AI search technologies? If yes, we invite you to join our team!As a Search Engine Evaluator for RWS, you will assess and enhance the performance of our clients’ search engines by simulating common user inquiries. Your expertise in search methodologies will contribute significantly to improving AI data utilized for enriching online search experiences. Your Profile:- Naturally curious with a strong interest in artificial intelligence.- Proficient in online research techniques.- Thrive in dynamic, fast-paced settings.- Consistently uphold quality and accuracy standards.- Demonstrate self-discipline to adhere to schedules while managing a home office environment.- Possess critical thinking skills to evaluate data relevance and significance.Quick Overview of This Flexible, Part-Time Role:Language: Proficiency in English and KoreanLocation: South Korea (Remote)Schedule: Approximately 15 hours weekly, flexible between 8-30 hours/weekCompensation: Up to $10 per hourWho Should Apply: This position is perfect for freelancers, students, stay-at-home parents, or anyone seeking flexible remote work opportunities to contribute to AI advancements. No prior experience is necessary.Role Responsibilities: Join RWS Group as a search evaluator to refine search engine results. Provide insights on text, audio, images, and videos to improve AI data utilized by leading search engines, social media platforms, streaming services, and more.