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About the job
Toss Careers is seeking a Data Engineer in Seoul to strengthen its advertising initiatives. The position centers on creating data solutions that guide advertising choices and enhance campaign results. Close collaboration with colleagues from different teams is a key part of the role.
What you will do
Build and maintain data pipelines and systems tailored for advertising analytics
Use modern tools to process and analyze large volumes of data
Work with team members to turn business requirements into technical solutions
Transform raw data into practical insights that shape advertising strategy
Role overview Toss Careers is seeking a Data Engineer in Seoul to strengthen its advertising initiatives. The position centers on creating data solutions that guide advertising choices and enhance campaign results. Close collaboration with colleagues from different teams is a key part of the role. What you will do Build and maintain data pipelines and system…
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.
At Databricks, we prioritize a proactive culture and a customer-centric approach that drives our mission to provide a unified platform for data science and analytics. We empower our clients to make informed decisions that propel their businesses forward. Our intuitive platform simplifies the process of transforming insights into actionable outcomes, fostering a spirit of creativity, experimentation, and continuous improvement.As a Senior Solutions Engineer, you will play a pivotal role in this mission, leveraging your technical expertise to illustrate how our Data Intelligence Platform can address complex data challenges faced by our customers. You will be part of a collaborative, customer-focused team that values innovation and creativity, using your skills to craft tailored solutions that help clients achieve their objectives. Join us on our journey to revolutionize the way people interact with data and contribute to a better world!
About the Team The Data Engineer (CPC) position will be part of the CPC Platform team within the Data Division of Tossbank. The CPC Platform team is dedicated to building a reliable data framework to meet various regulatory requirements (CPC, disclosures, regular reports, etc.) from financial authorities, enhancing both Tossbank's external credibility and internal operational efficiency through automation and advancement. This team thrives in an environment that demands frequent and complex queries, high standards of data integrity, and reproducible data management, allowing members to solve diverse problems while deepening their understanding of the banking domain and data engineering skills. Key Responsibilities Implement and respond to external data requests from financial authorities (CPC, disclosures, periodic reports) through system integration. Design, develop, and operate necessary data marts and dashboards for the required data. Ensure the reliability of reporting systems through data quality management (DQ). Collaborate with various departments such as lending, deposits, cards, and delinquency to provide data support for data-driven decision-making. Systematically manage reporting tasks based on banking laws and regulations. Ideal Candidate Profile Proficient in SQL, capable of extracting necessary data accurately and efficiently. Interested in exploratory data analysis and deriving meaningful insights. Enthusiastic about building and managing information systems or data warehouses and dashboards. Possess a strong sense of responsibility for data quality, capable of leading smooth collaboration with related departments. Curious about technologies and tools for automation and system optimization beyond simple data tasks. Understanding or interest in open-source and Hadoop-based data environments is a plus. Welcomes junior candidates with a willingness to learn and adaptability to new technologies over financial domain expertise. Resume Submission Tips Detail impactful projects you've worked on, highlighting your proactive roles and the outcomes of your contributions. If applicable, describe your experiences responding to requests from financial authorities or external agencies, including your analysis of requirements and resolution strategies. Share experiences where you deeply engaged with your work, demonstrating your analysis of root causes and structural improvements. Discuss any instances where you proposed or considered improvements beyond existing practices, focusing on the process and results. Application Journey at Tossbank Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Salary Negotiation > Final Acceptance and Onboarding Important Notes Any discrepancies in submitted resumes or disciplinary actions during employment history may lead to cancellation of the hiring process. Candidates who meet disqualification criteria as per Article 8 of Tossbank's employment regulations may have their applications canceled. Individuals with disabilities or veterans will receive preferential treatment as per relevant laws during the application process. A Word for Future Colleagues "You can grow your career in various paths such as Data or Finance sectors at Tossbank."
Join our innovative team at Toss Payments as a Data Engineer, where you'll play a crucial role in building and optimizing our data infrastructure. You will work with cutting-edge technologies, collaborating with cross-functional teams to drive data-driven insights and solutions. Your expertise will help us enhance our payment systems and improve user experiences.
Join Speechify as a Software Engineer focused on Data Infrastructure & Acquisition, where you will play a pivotal role in designing and implementing robust data systems that enhance our product capabilities. This is an exciting opportunity to work with cutting-edge technologies in a dynamic environment.
About the Team You Will Join The Data Engineer (Search) at Toss Securities is part of the AI Tribe within the AI Intelligence Silo. This Silo is a collaborative team consisting of Data Engineers, Machine Learning Engineers, Server Engineers, Frontend Engineers, Product Owners, and Product Designers, all working towards creating AI-driven information services leveraging securities domain data. Our focus is not just on presenting information but on rapidly experimenting with how to process and present data in a way that assists investors effectively. Search acts as the primary entry point connecting various securities data and AI services, with the Data Engineer (Search) being responsible for search/indexing functionalities that can be utilized across AI-based data services. The role centers around designing and operating the data and indexing aspects that constitute our search services, concentrating on stably designing and managing the data flow and infrastructure for search indexing rather than just enhancing algorithms or ranking models as seen in larger portals or e-commerce. Key Responsibilities Design and manage the indexing pipeline for Toss Securities search services, including stocks, autocomplete, news, and community features. Architect and reliably operate real-time/big data pipelines for search indexing. Gain insights into Elasticsearch-based search indexes and enhance the indexing structure and performance from a data perspective. Collaborate on data integrity management and re-indexing strategies to ensure stable data delivery for search. Gradually expand your responsibilities into areas beyond search, such as Graph search and ingestion of new data sources. Who We Are Looking For A candidate with over 3 years of experience in Data Engineering. Strong programming skills are preferred. Experience in designing or operating real-time or batch-based data pipelines is a plus. Experience in collecting and processing diverse data sources for service utilization is beneficial. Familiarity with big data processing platforms such as Spark, Hadoop, Impala is an advantage. A passion and curiosity for learning new domains and technologies are highly valued. A preference for collaborative environments where feedback and growth are encouraged is ideal. Additional Preferred Experience Experience using or managing search service infrastructures like Elasticsearch, Lucene, or Solr is advantageous. A genuine interest or experience in search domains such as search engines, recommendations, or ranking systems is a plus. Resume Tips Please detail your experience in designing/developing/operating data pipelines, ETL, streaming, etc. Highlight your role in projects and what you learned and improved through those experiences. If you have experience with search or Elasticsearch, even on a smaller scale, please describe the problems you solved. Your Journey to Joining Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Compensation discussion > Final acceptance and onboarding
Join Our Dynamic TeamThe Data Engineer (Finance) role is part of the Finance Data Platform team within Toss Bank's Data Division.The Finance Data Platform team is responsible for managing the management accounting and financial ALM simulation systems.We utilize the Hadoop Ecosystem and open-source environments to manage financial data.Your ResponsibilitiesYou will design and manage the financial analysis mart and develop and operate management accounting systems in close collaboration with the financial analysis team at Toss Bank.In partnership with the financial ALM team, you will design the financial ALM mart and develop and operate financial ALM simulation systems.Engaging in workflow development and automation based on the Hadoop Ecosystem and open-source solutions will be a key part of your role.Who We Are Looking ForExperience in management accounting or ALM system management within the finance sector is essential.Proficiency in implementing business logic using Java or Python is required.You should have a strong command of SQL.Experience in designing and operating marts and batch scheduling necessary for financial analysis or ALM is preferred.Familiarity with Frontend/Backend technologies for management accounting or ALM system development is a plus.Experience in data processing technologies within the Hadoop Ecosystem would be advantageous.Resume Submission GuidelinesWhen applying, please include the following two elements, as they are crucial for the assessment of your application:Describe an instance where you automated a recurring problem or solved a problem in a novel way.Share your recent experience of in-depth learning about new technologies.Join the Toss Bank JourneyThe hiring process includes document submission, job interviews, cultural fit interviews, reference checks, negotiation of terms, and final acceptance and onboarding.Please NoteIf any false information is found in your resume or if disciplinary actions are confirmed in your work history, your application may be canceled.According to Toss Bank's hiring regulations, candidates with disqualifying factors may also have their applications canceled.Disabled individuals and national veterans are encouraged to apply in accordance with relevant laws.
Join Our Team!The Data Engineer (DataOps) at Toss Securities is part of the Data Infra Team within the Data Division.The Data Infra Team manages a big data infrastructure based on the Hadoop ecosystem and operates a log/search platform (Elasticsearch). We provide technical support for Kubernetes, which is widely used for data acquisition and various data operations. Additionally, we are developing a data analysis platform aimed at enhancing the company's data literacy. Curious About the Data Division?The Toss Securities Data Division strives to become the world's leading securities firm in data management by contributing to data technology, services, and data-driven decision making.A diverse range of data professionals collaborate closely and enjoy their work.We regularly host Tech Weekly sessions to share expertise. If you are interested and willing, you can learn from various roles and their methodologies. Your Responsibilities Include:Operating and Improving a Stable Log PlatformThe log platform (Elasticsearch) at Toss Securities stores logs generated from various services, making it a key tool for securities service operations.You will innovate to ensure real-time data acquisition and fast search capabilities, handling millions of records per second.Managing the Toss Securities Search PlatformWe utilize an Elasticsearch-based search platform to provide a variety of search services for stocks, news, and content.You will collaborate with search engineers to create an environment for accurate and rapid searches without delays.Operating and Supporting Data KubernetesVarious engineers (Data Engineers, ML Engineers, DW Engineers, Search Engineers) in the Data Division use dedicated data Kubernetes for data acquisition, serving, and internal operations.The Data Engineer (DataOps) will address issues arising from the Data Kubernetes infrastructure and continuously develop the system from a long-term perspective.You will also analyze the experiences of data engineers, focusing on process development, operation, and enhancement tasks. We Are Looking For Candidates Who:Have over 5 years of experience as a Data Engineer.Have experience using or operating search engines like Elasticsearch or Solr.Have worked with or managed distributed databases.Have experience operating Kubernetes + Istio-based infrastructure.Understand or have experience with the Hadoop ecosystem.Have built and managed metric systems in large-scale distributed environments.Have experience operating container orchestration services and CI/CD servers.Can automate engineering experiences within their current organization and improve processes or tools.Possess the ability to eliminate poor funnels in engineering experiences, as our organization focuses on collaborative achievement rather than direct supervision. Technologies We Use at Toss Securities:Python, Kotlin, Java, Spring Boot, Spring Cloud ConfigElasticsearch stack, Opensearch stack, Vector
Who We AreJoin us in setting global standards for video understanding AI! Twelve Labs is dedicated to developing cutting-edge AI models specifically for video content, enabling efficient processing of vast amounts of video data. Our technology offers advanced capabilities for search, analysis, summarization, and generating insights from video.Our models are utilized by the largest sports leagues worldwide, quickly and accurately selecting highlights from extensive game footage, providing a hyper-personalized viewing experience. In South Korea, integrated control centers partner with us to efficiently analyze CCTV footage for rapid crisis response. Major broadcasters and studios across the globe leverage our models to create content for billions of viewers.Headquartered in San Francisco with an office in Seoul, Twelve Labs is a Deep Tech startup recognized for four consecutive years as one of the Top 100 AI Startups by CB Insights. We have secured over $110 million in funding from leading venture capital firms and corporations, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI models are uniquely available through Amazon Bedrock, and we thrive on innovation and collaboration with exceptional colleagues worldwide.At Twelve Labs, we operate on core values that include:Honesty and reflection about ourselves and our teamsResilience and humility, embracing failure and feedbackA commitment to continuous learning and enhancing team capabilitiesIf you enjoy tackling challenging problems and growing through the journey, the opportunity awaits you here at Twelve Labs.About the TeamOur ML Data team operates on the belief that data determines AI model performance. We build high-quality data for training and evaluating multimodal AI models end-to-end. This includes gathering, filtering, processing, and labeling various types of multimodal data such as video, images, and audio. We collaborate with diverse teams to design datasets that unlock new model capabilities and develop evaluation datasets that reflect real user experiences. We also develop and continually enhance internal tools to perform these processes efficiently.The ML Data team plays a pivotal role in the development of Twelve Labs' world-class video understanding models through a meticulously designed data pipeline.About the RoleAs a Software Engineer specializing in Data, you will design and develop pipelines for multimodal (video, image, audio) data that fundamentally enhance model performance through data quality. If you have experience designing and operating distributed systems for handling unstructured multimodal datasets, you can make a significant impact in this position. The rigorously refined and accurately labeled data forms the foundation of all model development at Twelve Labs, and you will have the opportunity to influence model quality more than any other engineering role.We are looking for someone to help us build data infrastructure that elevates our video understanding technology to the next level.In this Role, You WillBuild data engines capable of collecting, preprocessing, refining, filtering, and labeling large multimodal (video, image, audio) datasets for LLM/VLM training.Design and develop data systems that efficiently manage and visualize petabyte-scale video, image, and audio data.Create libraries and services that deliver tangible impact beyond just eye-catching features.Collaborate closely with various teams to define project priorities and goals, leading technical initiatives from planning through development and operations.
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.
About the Team You'll Join The DataOps Manager at Toss plays a pivotal role within the Data Platform Team, crafting an environment for effective data utilization across various domains and products to empower data-driven decision-making within the organization. The Data Platform Team comprises Data Analytics Engineers, Data Engineers, and the DataOps Manager, collectively responsible for establishing data governance at Toss, managing data pipelines, and ensuring data quality for analytical purposes. Your Responsibilities Define and manage customer behavior log data generated from our app and website, including overseeing log taxonomy. Monitor and validate the acquisition of customer behavior data, streamlining and automating data management processes. Understand business domain data and utilize SQL to extract and validate data necessary for informed decision-making. Visualize key metrics requiring continuous monitoring (using tools like Tableau) to facilitate business decision-making. Who We're Looking For Individuals with a strong understanding of app log data for customer behavior analysis, preferably with operational or management experience. Candidates who can effectively communicate with various teams to clarify data requests and accurately extract and validate data using SQL. Proficient individuals in visualizing metrics requiring monitoring (using Tableau or similar tools). Required Experience If you have experience utilizing or managing customer log data, please highlight it in your resume. Experience in using SQL for swift and accurate extraction and validation of diverse data sets is essential. Joining the Toss Journey Application Submission > Pre-task (Query Test) > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer Please Note The pre-task involves a query test that takes approximately one hour, with a three-day period allocated for completion from the notification of passing the application stage. Detailed instructions will be provided to successful candidates. Those who pass the pre-task may proceed to the job interview within 3-7 days.
Role Overview Toss is seeking a Data Governance Manager in Seoul to help strengthen data integrity, compliance, and management across the company. This role works closely with teams throughout the organization to build and maintain data governance frameworks and policies. The focus is on responsible data use and adherence to regulatory requirements. What You Will Do Develop and implement data governance frameworks and policies Collaborate with cross-functional teams to align on data management standards Support compliance efforts by ensuring data practices meet regulatory guidelines Promote a culture of accountability and transparency in data handling Contribute to the ongoing development of Toss’s data strategy
At Jellyfish, we harness the power of diverse perspectives and foster inclusive collaboration. We invite individuals who thrive in collaborative, multidisciplinary teams and appreciate the unique contributions that every team member offers.Jellyfish is a global digital marketing agency that seamlessly blends technology enthusiasts, creative thinkers, and data and media specialists. Our mission is to empower clients on their digital journey through innovative strategies that rethink media activation and create compelling narratives for our global clientele and their audiences. Join us in crafting a future where business growth and personal fulfillment are intertwined.Job OpportunityWe are in search of an experienced Analytics Manager to lead our Analytics team in Korea. This pivotal role requires a data-savvy professional who comprehends the local market and is eager to provide exceptional analytics services to our clients in Seoul.Reporting directly to the APAC Analytics Lead, your primary objective will be to bridge the gap between technical data initiatives and our clients' strategic business goals. You will serve as a key advisor for client projects, enhancing their data utilization, while mentoring and training our team of junior analysts. Furthermore, you will play a vital role in collaborating with the senior leadership team on sales proposals and ensuring the consistent quality of our analytics deliverables.Key Responsibilities:**Technical Expert**: Demonstrate expertise in the Google Marketing Platform (GA4, GTM) and Visualization tools (Looker Studio) to guide the team on Web and App projects.**Sales and Proposals Support**: Assist the senior leadership team in articulating our services to clients in an accessible manner. Participate in crafting proposals, estimating project timelines, and calculating costs.**Team Mentorship**: Mentor junior team members by guiding their daily tasks, managing their workload to ensure work-life balance, and training them to hone their technical skills.**Client Lead**: Act as a principal advisor for client projects, developing long-term measurement plans, facilitating client workshops, and assisting clients in launching testing programs (A/B testing).**Quality Control & Documentation**: Ensure the quality of deliverables produced by junior team members, including reviewing tracking plans and troubleshooting complex technical issues.**Process Improvement**: Proactively identify opportunities for enhancing analytic processes.
Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.
About the Team You'll Join You will be part of the DataOps Engineering Team under the Data Division at Toss Bank. Utilize the Hadoop Ecosystem and various open-source technologies to manage enterprise data reliably and efficiently. Establish standards for data workflows and develop and optimize data pipelines. Responsible for performance and stability optimization of open-source-based analytical platforms. Your Responsibilities Upon Joining Develop, operate, and automate the enterprise data pipelines. Efficiently process and optimize large data using open-source tools. Manage a large-scale Airflow cluster in an on-premises Kubernetes environment. Evaluate and implement new technologies like Iceberg and Trino for data platform enhancement. Ideal Candidate Profile Proficient in development within a Hadoop Ecosystem environment. Extensive experience with open-source pipeline tools such as Airflow, Nifi, Kafka, and Flink, along with strong problem-solving skills. Experience in developing data pipelines for large-scale data collection, processing, and analysis. Experience in analyzing, tuning, and optimizing execution plans for distributed processing engines like Spark is a plus. Beyond just using open-source tools, it would be great if you have experience in analyzing source code and contributing through patches and backporting. Resume Recommendations Please specify impactful projects you have worked on, particularly those involving the design and construction of ETL/streaming pipelines. If you have applied improvements in actual services, please quantify the results (omit sensitive information if necessary). Share experiences that go beyond mere development and construction to include troubleshooting, operations, and achieved results. Joining Toss Bank Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance and Onboarding Important Notices If any false information is found in your resume or if disciplinary issues are confirmed during your employment history, hiring may be canceled. Hiring may be canceled for applicants who fall under the disqualifications specified in Toss Bank's employment regulations.
CLO Virtual Fashion is at the forefront of digital fashion, offering a comprehensive suite of services that span from concept to design, manufacturing, marketing, fitting, and styling through advanced 3D garment simulation algorithms.Founded in 2009, CLO Virtual Fashion is pioneering a new ecosystem in digital fashion. Utilizing innovative design software such as CLO, Marvelous Designer, and Jinny, along with specialized platforms like CLO-SET and CLO-SET CONNECT, we are committed to fostering an efficient and sustainable workflow throughout the entire garment lifecycle. Our solutions enable seamless functionality between physical and digital garments within the CLO system.As a leader in the global digital fashion market, CLO Virtual Fashion operates 16 offices across 13 countries, including Asia, North America, Europe, and South America, continually expanding our reach by serving numerous clients worldwide.
Join Our Team The Data Quality Specialist at Toss Securities will be part of the Data Analysis Team, working closely with Data Analysts. The Data Analysis Team plays a crucial role in driving product and business decisions based on data insights. Key Responsibilities Manage the quality of client logs (web, iOS, Android), which serve as the primary material for data analysis. Design logs for assigned services in alignment with Data Analysts’ analysis plans and communicate clearly to engineers. Write and verify test cases to ensure logs are captured as specified. Quickly identify defects in client logs, raise issues, and drive resolutions. Occasionally conduct data analysis to understand the user perspective of logs. We Are Looking For Experience with SQL is required. Strong communication skills to engage actively with team members across various functions. A proactive approach to achieving results beyond assigned tasks and situations. Experience working in an IT organization is preferred. Experience defining or handling user client logs is advantageous. Understanding of basic service metrics such as AARRR, CTR, CVR, PV, UV is a plus. The Journey to Join Toss Securities Application submission > Pre-query test > Job interview > Cultural fit interview > Final acceptance. Resume Tips If you have experience collecting, processing, or analyzing raw-level data, please specify. Highlight any experiences where you aimed to deliver results beyond assigned duties. Important Notes This position is for a contract role, with a duration of one year. Any false statements in the resume or disciplinary actions in work history may lead to termination of the hiring process. Applicants with restrictions according to Toss Securities’ policies may be disqualified.
About the Team You Will Join- As a Data Operations Specialist at Toss Bank, you will be a part of the Corporate Initiatives Team within the Strategy Tribe under the Strategy Division.- The Corporate Initiatives Team is responsible for deriving insights for corporate-level decision-making and identifying innovative initiatives, playing a key role in corporate planning.- You will collaborate with various teams to enable data-driven decision-making within the organization, interpreting Toss Bank's current state and shaping its future.Your Responsibilities- Collaborate with Business Data Analysts and Corporate Strategy Managers to support data analysis tasks within the tribe.- Extract data necessary for management decision-making as per team requests.- Maintain and update internal Tableau dashboards, incorporating feedback and requests.Ideal Candidate- Must have the ability to write basic SQL queries.- Experience with Tableau dashboards and creating/operating Airflow DAGs is required.- Strong collaboration skills to communicate effectively with team members.Resume Submission Recommendations- We expect your resume to include significant examples that align with the qualities we desire in a candidate rather than just listing experiences.- Please clearly state your personal details and activities (education, extracurricular activities, internships) with specific timings and content.The Journey to Joining Toss Bank- Application submission > Job interview > Cultural fit interview > Final acceptance and onboarding.Please Note- This is a contract position with a duration of 1 year.- If any false information is found in your resume or disciplinary issues are confirmed during your work history, the hiring will be canceled.- Candidates who fall under the disqualification criteria according to Article 8 of Toss Bank's employment regulations may have their application canceled.- Individuals with disabilities and those eligible for national veterans' benefits will be given preference according to relevant laws.
Who We AreAt Twelve Labs, we are on a mission to redefine the global standards for video understanding AI! We are creating world-class AI models tailored for video data, providing specialized search, analysis, summarization, and insight generation capabilities.Our models are utilized by the largest sports leagues worldwide to swiftly and accurately highlight key moments in vast game footage, delivering an ultra-personalized viewing experience. In South Korea, our technology assists integrated command centers in efficiently navigating CCTV footage to respond to crises, while major global broadcasters and studios leverage our models for content creation aimed at billions of viewers.As a Deep Tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the world's top 100 AI startups by CB Insights for four consecutive years. We have secured over $110 million in investments from leading VCs and companies including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model, uniquely developed in Korea, is exclusively offered through Amazon Bedrock. We thrive on building innovative products alongside exceptional colleagues and growing with clients worldwide.Our core values are foundational to our work:Honesty and reflection about ourselves and our teamsPerseverance and humility in the face of failure and feedbackA commitment to continuously elevate team capabilities through ongoing learningIf you enjoy tackling challenging problems and growing through the process, the opportunity awaits you at Twelve Labs!About the TeamThe ML Data Team at Twelve Labs believes that 'data determines the performance of AI models.' We construct high-quality data end-to-end necessary for training and evaluating multimodal AI models. Our team is responsible for collecting, filtering, processing, and labeling diverse multimodal data such as video, image, and audio. We collaborate with various teams to design training data that can unleash new model capabilities, while also developing evaluation datasets that reflect real user experiences. To perform all these processes efficiently, we develop and continuously improve internal tools.Through a meticulously designed data pipeline, the ML Data Team plays a crucial role in developing Twelve Labs' world-class video understanding models.About the RoleAs the Engineering Manager for the ML Data Team, you will be a pivotal leader in building and guiding a high-performing team, while also developing the large-scale data infrastructure necessary for AI model training. This position encompasses team operations, technical architecture design, engineering recruitment and mentoring, and enhancing project execution, all aimed at fostering a high-quality data ecosystem that supports Twelve Labs' products and research.In this Role, You WillTeam Building and Technical Culture Development Lead the ML data engineering team by defining and executing the team's mission and technical strategy. Establish and execute recruitment plans to attract top talent, while fostering a high-level engineering culture through code reviews and technical mentoring.Design and Operate Multimodal ML Data Engine Design and operate pipelines for collecting, refining, and labeling petabyte-scale video, image, and audio data for AI model training. Additionally, build an automated dataset generation system for VLM/LLM training and a high-precision preprocessing engine.Design and Operate Multimodal ML Data Infrastructure Create and manage scalable data infrastructure capable of reliably processing large-scale data.Establish and Execute Data Strategy Collaborate closely with PM, research, infrastructure, product, and other organizations to establish and prioritize a data strategy aligned with the company's vision.
Role overview Toss Careers is seeking a Data Engineer in Seoul to strengthen its advertising initiatives. The position centers on creating data solutions that guide advertising choices and enhance campaign results. Close collaboration with colleagues from different teams is a key part of the role. What you will do Build and maintain data pipelines and system…
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.
At Databricks, we prioritize a proactive culture and a customer-centric approach that drives our mission to provide a unified platform for data science and analytics. We empower our clients to make informed decisions that propel their businesses forward. Our intuitive platform simplifies the process of transforming insights into actionable outcomes, fostering a spirit of creativity, experimentation, and continuous improvement.As a Senior Solutions Engineer, you will play a pivotal role in this mission, leveraging your technical expertise to illustrate how our Data Intelligence Platform can address complex data challenges faced by our customers. You will be part of a collaborative, customer-focused team that values innovation and creativity, using your skills to craft tailored solutions that help clients achieve their objectives. Join us on our journey to revolutionize the way people interact with data and contribute to a better world!
About the Team The Data Engineer (CPC) position will be part of the CPC Platform team within the Data Division of Tossbank. The CPC Platform team is dedicated to building a reliable data framework to meet various regulatory requirements (CPC, disclosures, regular reports, etc.) from financial authorities, enhancing both Tossbank's external credibility and internal operational efficiency through automation and advancement. This team thrives in an environment that demands frequent and complex queries, high standards of data integrity, and reproducible data management, allowing members to solve diverse problems while deepening their understanding of the banking domain and data engineering skills. Key Responsibilities Implement and respond to external data requests from financial authorities (CPC, disclosures, periodic reports) through system integration. Design, develop, and operate necessary data marts and dashboards for the required data. Ensure the reliability of reporting systems through data quality management (DQ). Collaborate with various departments such as lending, deposits, cards, and delinquency to provide data support for data-driven decision-making. Systematically manage reporting tasks based on banking laws and regulations. Ideal Candidate Profile Proficient in SQL, capable of extracting necessary data accurately and efficiently. Interested in exploratory data analysis and deriving meaningful insights. Enthusiastic about building and managing information systems or data warehouses and dashboards. Possess a strong sense of responsibility for data quality, capable of leading smooth collaboration with related departments. Curious about technologies and tools for automation and system optimization beyond simple data tasks. Understanding or interest in open-source and Hadoop-based data environments is a plus. Welcomes junior candidates with a willingness to learn and adaptability to new technologies over financial domain expertise. Resume Submission Tips Detail impactful projects you've worked on, highlighting your proactive roles and the outcomes of your contributions. If applicable, describe your experiences responding to requests from financial authorities or external agencies, including your analysis of requirements and resolution strategies. Share experiences where you deeply engaged with your work, demonstrating your analysis of root causes and structural improvements. Discuss any instances where you proposed or considered improvements beyond existing practices, focusing on the process and results. Application Journey at Tossbank Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Salary Negotiation > Final Acceptance and Onboarding Important Notes Any discrepancies in submitted resumes or disciplinary actions during employment history may lead to cancellation of the hiring process. Candidates who meet disqualification criteria as per Article 8 of Tossbank's employment regulations may have their applications canceled. Individuals with disabilities or veterans will receive preferential treatment as per relevant laws during the application process. A Word for Future Colleagues "You can grow your career in various paths such as Data or Finance sectors at Tossbank."
Join our innovative team at Toss Payments as a Data Engineer, where you'll play a crucial role in building and optimizing our data infrastructure. You will work with cutting-edge technologies, collaborating with cross-functional teams to drive data-driven insights and solutions. Your expertise will help us enhance our payment systems and improve user experiences.
Join Speechify as a Software Engineer focused on Data Infrastructure & Acquisition, where you will play a pivotal role in designing and implementing robust data systems that enhance our product capabilities. This is an exciting opportunity to work with cutting-edge technologies in a dynamic environment.
About the Team You Will Join The Data Engineer (Search) at Toss Securities is part of the AI Tribe within the AI Intelligence Silo. This Silo is a collaborative team consisting of Data Engineers, Machine Learning Engineers, Server Engineers, Frontend Engineers, Product Owners, and Product Designers, all working towards creating AI-driven information services leveraging securities domain data. Our focus is not just on presenting information but on rapidly experimenting with how to process and present data in a way that assists investors effectively. Search acts as the primary entry point connecting various securities data and AI services, with the Data Engineer (Search) being responsible for search/indexing functionalities that can be utilized across AI-based data services. The role centers around designing and operating the data and indexing aspects that constitute our search services, concentrating on stably designing and managing the data flow and infrastructure for search indexing rather than just enhancing algorithms or ranking models as seen in larger portals or e-commerce. Key Responsibilities Design and manage the indexing pipeline for Toss Securities search services, including stocks, autocomplete, news, and community features. Architect and reliably operate real-time/big data pipelines for search indexing. Gain insights into Elasticsearch-based search indexes and enhance the indexing structure and performance from a data perspective. Collaborate on data integrity management and re-indexing strategies to ensure stable data delivery for search. Gradually expand your responsibilities into areas beyond search, such as Graph search and ingestion of new data sources. Who We Are Looking For A candidate with over 3 years of experience in Data Engineering. Strong programming skills are preferred. Experience in designing or operating real-time or batch-based data pipelines is a plus. Experience in collecting and processing diverse data sources for service utilization is beneficial. Familiarity with big data processing platforms such as Spark, Hadoop, Impala is an advantage. A passion and curiosity for learning new domains and technologies are highly valued. A preference for collaborative environments where feedback and growth are encouraged is ideal. Additional Preferred Experience Experience using or managing search service infrastructures like Elasticsearch, Lucene, or Solr is advantageous. A genuine interest or experience in search domains such as search engines, recommendations, or ranking systems is a plus. Resume Tips Please detail your experience in designing/developing/operating data pipelines, ETL, streaming, etc. Highlight your role in projects and what you learned and improved through those experiences. If you have experience with search or Elasticsearch, even on a smaller scale, please describe the problems you solved. Your Journey to Joining Toss Securities Application submission > Job interview > Cultural fit interview > Reference check > Compensation discussion > Final acceptance and onboarding
Join Our Dynamic TeamThe Data Engineer (Finance) role is part of the Finance Data Platform team within Toss Bank's Data Division.The Finance Data Platform team is responsible for managing the management accounting and financial ALM simulation systems.We utilize the Hadoop Ecosystem and open-source environments to manage financial data.Your ResponsibilitiesYou will design and manage the financial analysis mart and develop and operate management accounting systems in close collaboration with the financial analysis team at Toss Bank.In partnership with the financial ALM team, you will design the financial ALM mart and develop and operate financial ALM simulation systems.Engaging in workflow development and automation based on the Hadoop Ecosystem and open-source solutions will be a key part of your role.Who We Are Looking ForExperience in management accounting or ALM system management within the finance sector is essential.Proficiency in implementing business logic using Java or Python is required.You should have a strong command of SQL.Experience in designing and operating marts and batch scheduling necessary for financial analysis or ALM is preferred.Familiarity with Frontend/Backend technologies for management accounting or ALM system development is a plus.Experience in data processing technologies within the Hadoop Ecosystem would be advantageous.Resume Submission GuidelinesWhen applying, please include the following two elements, as they are crucial for the assessment of your application:Describe an instance where you automated a recurring problem or solved a problem in a novel way.Share your recent experience of in-depth learning about new technologies.Join the Toss Bank JourneyThe hiring process includes document submission, job interviews, cultural fit interviews, reference checks, negotiation of terms, and final acceptance and onboarding.Please NoteIf any false information is found in your resume or if disciplinary actions are confirmed in your work history, your application may be canceled.According to Toss Bank's hiring regulations, candidates with disqualifying factors may also have their applications canceled.Disabled individuals and national veterans are encouraged to apply in accordance with relevant laws.
Join Our Team!The Data Engineer (DataOps) at Toss Securities is part of the Data Infra Team within the Data Division.The Data Infra Team manages a big data infrastructure based on the Hadoop ecosystem and operates a log/search platform (Elasticsearch). We provide technical support for Kubernetes, which is widely used for data acquisition and various data operations. Additionally, we are developing a data analysis platform aimed at enhancing the company's data literacy. Curious About the Data Division?The Toss Securities Data Division strives to become the world's leading securities firm in data management by contributing to data technology, services, and data-driven decision making.A diverse range of data professionals collaborate closely and enjoy their work.We regularly host Tech Weekly sessions to share expertise. If you are interested and willing, you can learn from various roles and their methodologies. Your Responsibilities Include:Operating and Improving a Stable Log PlatformThe log platform (Elasticsearch) at Toss Securities stores logs generated from various services, making it a key tool for securities service operations.You will innovate to ensure real-time data acquisition and fast search capabilities, handling millions of records per second.Managing the Toss Securities Search PlatformWe utilize an Elasticsearch-based search platform to provide a variety of search services for stocks, news, and content.You will collaborate with search engineers to create an environment for accurate and rapid searches without delays.Operating and Supporting Data KubernetesVarious engineers (Data Engineers, ML Engineers, DW Engineers, Search Engineers) in the Data Division use dedicated data Kubernetes for data acquisition, serving, and internal operations.The Data Engineer (DataOps) will address issues arising from the Data Kubernetes infrastructure and continuously develop the system from a long-term perspective.You will also analyze the experiences of data engineers, focusing on process development, operation, and enhancement tasks. We Are Looking For Candidates Who:Have over 5 years of experience as a Data Engineer.Have experience using or operating search engines like Elasticsearch or Solr.Have worked with or managed distributed databases.Have experience operating Kubernetes + Istio-based infrastructure.Understand or have experience with the Hadoop ecosystem.Have built and managed metric systems in large-scale distributed environments.Have experience operating container orchestration services and CI/CD servers.Can automate engineering experiences within their current organization and improve processes or tools.Possess the ability to eliminate poor funnels in engineering experiences, as our organization focuses on collaborative achievement rather than direct supervision. Technologies We Use at Toss Securities:Python, Kotlin, Java, Spring Boot, Spring Cloud ConfigElasticsearch stack, Opensearch stack, Vector
Who We AreJoin us in setting global standards for video understanding AI! Twelve Labs is dedicated to developing cutting-edge AI models specifically for video content, enabling efficient processing of vast amounts of video data. Our technology offers advanced capabilities for search, analysis, summarization, and generating insights from video.Our models are utilized by the largest sports leagues worldwide, quickly and accurately selecting highlights from extensive game footage, providing a hyper-personalized viewing experience. In South Korea, integrated control centers partner with us to efficiently analyze CCTV footage for rapid crisis response. Major broadcasters and studios across the globe leverage our models to create content for billions of viewers.Headquartered in San Francisco with an office in Seoul, Twelve Labs is a Deep Tech startup recognized for four consecutive years as one of the Top 100 AI Startups by CB Insights. We have secured over $110 million in funding from leading venture capital firms and corporations, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI models are uniquely available through Amazon Bedrock, and we thrive on innovation and collaboration with exceptional colleagues worldwide.At Twelve Labs, we operate on core values that include:Honesty and reflection about ourselves and our teamsResilience and humility, embracing failure and feedbackA commitment to continuous learning and enhancing team capabilitiesIf you enjoy tackling challenging problems and growing through the journey, the opportunity awaits you here at Twelve Labs.About the TeamOur ML Data team operates on the belief that data determines AI model performance. We build high-quality data for training and evaluating multimodal AI models end-to-end. This includes gathering, filtering, processing, and labeling various types of multimodal data such as video, images, and audio. We collaborate with diverse teams to design datasets that unlock new model capabilities and develop evaluation datasets that reflect real user experiences. We also develop and continually enhance internal tools to perform these processes efficiently.The ML Data team plays a pivotal role in the development of Twelve Labs' world-class video understanding models through a meticulously designed data pipeline.About the RoleAs a Software Engineer specializing in Data, you will design and develop pipelines for multimodal (video, image, audio) data that fundamentally enhance model performance through data quality. If you have experience designing and operating distributed systems for handling unstructured multimodal datasets, you can make a significant impact in this position. The rigorously refined and accurately labeled data forms the foundation of all model development at Twelve Labs, and you will have the opportunity to influence model quality more than any other engineering role.We are looking for someone to help us build data infrastructure that elevates our video understanding technology to the next level.In this Role, You WillBuild data engines capable of collecting, preprocessing, refining, filtering, and labeling large multimodal (video, image, audio) datasets for LLM/VLM training.Design and develop data systems that efficiently manage and visualize petabyte-scale video, image, and audio data.Create libraries and services that deliver tangible impact beyond just eye-catching features.Collaborate closely with various teams to define project priorities and goals, leading technical initiatives from planning through development and operations.
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.
About the Team You'll Join The DataOps Manager at Toss plays a pivotal role within the Data Platform Team, crafting an environment for effective data utilization across various domains and products to empower data-driven decision-making within the organization. The Data Platform Team comprises Data Analytics Engineers, Data Engineers, and the DataOps Manager, collectively responsible for establishing data governance at Toss, managing data pipelines, and ensuring data quality for analytical purposes. Your Responsibilities Define and manage customer behavior log data generated from our app and website, including overseeing log taxonomy. Monitor and validate the acquisition of customer behavior data, streamlining and automating data management processes. Understand business domain data and utilize SQL to extract and validate data necessary for informed decision-making. Visualize key metrics requiring continuous monitoring (using tools like Tableau) to facilitate business decision-making. Who We're Looking For Individuals with a strong understanding of app log data for customer behavior analysis, preferably with operational or management experience. Candidates who can effectively communicate with various teams to clarify data requests and accurately extract and validate data using SQL. Proficient individuals in visualizing metrics requiring monitoring (using Tableau or similar tools). Required Experience If you have experience utilizing or managing customer log data, please highlight it in your resume. Experience in using SQL for swift and accurate extraction and validation of diverse data sets is essential. Joining the Toss Journey Application Submission > Pre-task (Query Test) > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Offer Please Note The pre-task involves a query test that takes approximately one hour, with a three-day period allocated for completion from the notification of passing the application stage. Detailed instructions will be provided to successful candidates. Those who pass the pre-task may proceed to the job interview within 3-7 days.
Role Overview Toss is seeking a Data Governance Manager in Seoul to help strengthen data integrity, compliance, and management across the company. This role works closely with teams throughout the organization to build and maintain data governance frameworks and policies. The focus is on responsible data use and adherence to regulatory requirements. What You Will Do Develop and implement data governance frameworks and policies Collaborate with cross-functional teams to align on data management standards Support compliance efforts by ensuring data practices meet regulatory guidelines Promote a culture of accountability and transparency in data handling Contribute to the ongoing development of Toss’s data strategy
At Jellyfish, we harness the power of diverse perspectives and foster inclusive collaboration. We invite individuals who thrive in collaborative, multidisciplinary teams and appreciate the unique contributions that every team member offers.Jellyfish is a global digital marketing agency that seamlessly blends technology enthusiasts, creative thinkers, and data and media specialists. Our mission is to empower clients on their digital journey through innovative strategies that rethink media activation and create compelling narratives for our global clientele and their audiences. Join us in crafting a future where business growth and personal fulfillment are intertwined.Job OpportunityWe are in search of an experienced Analytics Manager to lead our Analytics team in Korea. This pivotal role requires a data-savvy professional who comprehends the local market and is eager to provide exceptional analytics services to our clients in Seoul.Reporting directly to the APAC Analytics Lead, your primary objective will be to bridge the gap between technical data initiatives and our clients' strategic business goals. You will serve as a key advisor for client projects, enhancing their data utilization, while mentoring and training our team of junior analysts. Furthermore, you will play a vital role in collaborating with the senior leadership team on sales proposals and ensuring the consistent quality of our analytics deliverables.Key Responsibilities:**Technical Expert**: Demonstrate expertise in the Google Marketing Platform (GA4, GTM) and Visualization tools (Looker Studio) to guide the team on Web and App projects.**Sales and Proposals Support**: Assist the senior leadership team in articulating our services to clients in an accessible manner. Participate in crafting proposals, estimating project timelines, and calculating costs.**Team Mentorship**: Mentor junior team members by guiding their daily tasks, managing their workload to ensure work-life balance, and training them to hone their technical skills.**Client Lead**: Act as a principal advisor for client projects, developing long-term measurement plans, facilitating client workshops, and assisting clients in launching testing programs (A/B testing).**Quality Control & Documentation**: Ensure the quality of deliverables produced by junior team members, including reviewing tracking plans and troubleshooting complex technical issues.**Process Improvement**: Proactively identify opportunities for enhancing analytic processes.
Join our dynamic team at Toss Careers as a Data Analyst specializing in advertising. In this role, you will leverage your analytical skills to drive data-driven decisions and optimize advertising strategies. Collaborate with cross-functional teams to uncover insights, enhance campaign performance, and contribute to the growth of our advertising initiatives. Your expertise in data analysis will directly impact our success and innovation in the advertising space.
About the Team You'll Join You will be part of the DataOps Engineering Team under the Data Division at Toss Bank. Utilize the Hadoop Ecosystem and various open-source technologies to manage enterprise data reliably and efficiently. Establish standards for data workflows and develop and optimize data pipelines. Responsible for performance and stability optimization of open-source-based analytical platforms. Your Responsibilities Upon Joining Develop, operate, and automate the enterprise data pipelines. Efficiently process and optimize large data using open-source tools. Manage a large-scale Airflow cluster in an on-premises Kubernetes environment. Evaluate and implement new technologies like Iceberg and Trino for data platform enhancement. Ideal Candidate Profile Proficient in development within a Hadoop Ecosystem environment. Extensive experience with open-source pipeline tools such as Airflow, Nifi, Kafka, and Flink, along with strong problem-solving skills. Experience in developing data pipelines for large-scale data collection, processing, and analysis. Experience in analyzing, tuning, and optimizing execution plans for distributed processing engines like Spark is a plus. Beyond just using open-source tools, it would be great if you have experience in analyzing source code and contributing through patches and backporting. Resume Recommendations Please specify impactful projects you have worked on, particularly those involving the design and construction of ETL/streaming pipelines. If you have applied improvements in actual services, please quantify the results (omit sensitive information if necessary). Share experiences that go beyond mere development and construction to include troubleshooting, operations, and achieved results. Joining Toss Bank Application Submission > Job Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance and Onboarding Important Notices If any false information is found in your resume or if disciplinary issues are confirmed during your employment history, hiring may be canceled. Hiring may be canceled for applicants who fall under the disqualifications specified in Toss Bank's employment regulations.
CLO Virtual Fashion is at the forefront of digital fashion, offering a comprehensive suite of services that span from concept to design, manufacturing, marketing, fitting, and styling through advanced 3D garment simulation algorithms.Founded in 2009, CLO Virtual Fashion is pioneering a new ecosystem in digital fashion. Utilizing innovative design software such as CLO, Marvelous Designer, and Jinny, along with specialized platforms like CLO-SET and CLO-SET CONNECT, we are committed to fostering an efficient and sustainable workflow throughout the entire garment lifecycle. Our solutions enable seamless functionality between physical and digital garments within the CLO system.As a leader in the global digital fashion market, CLO Virtual Fashion operates 16 offices across 13 countries, including Asia, North America, Europe, and South America, continually expanding our reach by serving numerous clients worldwide.
Join Our Team The Data Quality Specialist at Toss Securities will be part of the Data Analysis Team, working closely with Data Analysts. The Data Analysis Team plays a crucial role in driving product and business decisions based on data insights. Key Responsibilities Manage the quality of client logs (web, iOS, Android), which serve as the primary material for data analysis. Design logs for assigned services in alignment with Data Analysts’ analysis plans and communicate clearly to engineers. Write and verify test cases to ensure logs are captured as specified. Quickly identify defects in client logs, raise issues, and drive resolutions. Occasionally conduct data analysis to understand the user perspective of logs. We Are Looking For Experience with SQL is required. Strong communication skills to engage actively with team members across various functions. A proactive approach to achieving results beyond assigned tasks and situations. Experience working in an IT organization is preferred. Experience defining or handling user client logs is advantageous. Understanding of basic service metrics such as AARRR, CTR, CVR, PV, UV is a plus. The Journey to Join Toss Securities Application submission > Pre-query test > Job interview > Cultural fit interview > Final acceptance. Resume Tips If you have experience collecting, processing, or analyzing raw-level data, please specify. Highlight any experiences where you aimed to deliver results beyond assigned duties. Important Notes This position is for a contract role, with a duration of one year. Any false statements in the resume or disciplinary actions in work history may lead to termination of the hiring process. Applicants with restrictions according to Toss Securities’ policies may be disqualified.
About the Team You Will Join- As a Data Operations Specialist at Toss Bank, you will be a part of the Corporate Initiatives Team within the Strategy Tribe under the Strategy Division.- The Corporate Initiatives Team is responsible for deriving insights for corporate-level decision-making and identifying innovative initiatives, playing a key role in corporate planning.- You will collaborate with various teams to enable data-driven decision-making within the organization, interpreting Toss Bank's current state and shaping its future.Your Responsibilities- Collaborate with Business Data Analysts and Corporate Strategy Managers to support data analysis tasks within the tribe.- Extract data necessary for management decision-making as per team requests.- Maintain and update internal Tableau dashboards, incorporating feedback and requests.Ideal Candidate- Must have the ability to write basic SQL queries.- Experience with Tableau dashboards and creating/operating Airflow DAGs is required.- Strong collaboration skills to communicate effectively with team members.Resume Submission Recommendations- We expect your resume to include significant examples that align with the qualities we desire in a candidate rather than just listing experiences.- Please clearly state your personal details and activities (education, extracurricular activities, internships) with specific timings and content.The Journey to Joining Toss Bank- Application submission > Job interview > Cultural fit interview > Final acceptance and onboarding.Please Note- This is a contract position with a duration of 1 year.- If any false information is found in your resume or disciplinary issues are confirmed during your work history, the hiring will be canceled.- Candidates who fall under the disqualification criteria according to Article 8 of Toss Bank's employment regulations may have their application canceled.- Individuals with disabilities and those eligible for national veterans' benefits will be given preference according to relevant laws.
Who We AreAt Twelve Labs, we are on a mission to redefine the global standards for video understanding AI! We are creating world-class AI models tailored for video data, providing specialized search, analysis, summarization, and insight generation capabilities.Our models are utilized by the largest sports leagues worldwide to swiftly and accurately highlight key moments in vast game footage, delivering an ultra-personalized viewing experience. In South Korea, our technology assists integrated command centers in efficiently navigating CCTV footage to respond to crises, while major global broadcasters and studios leverage our models for content creation aimed at billions of viewers.As a Deep Tech startup with offices in San Francisco and Seoul, Twelve Labs has been recognized as one of the world's top 100 AI startups by CB Insights for four consecutive years. We have secured over $110 million in investments from leading VCs and companies including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Our AI model, uniquely developed in Korea, is exclusively offered through Amazon Bedrock. We thrive on building innovative products alongside exceptional colleagues and growing with clients worldwide.Our core values are foundational to our work:Honesty and reflection about ourselves and our teamsPerseverance and humility in the face of failure and feedbackA commitment to continuously elevate team capabilities through ongoing learningIf you enjoy tackling challenging problems and growing through the process, the opportunity awaits you at Twelve Labs!About the TeamThe ML Data Team at Twelve Labs believes that 'data determines the performance of AI models.' We construct high-quality data end-to-end necessary for training and evaluating multimodal AI models. Our team is responsible for collecting, filtering, processing, and labeling diverse multimodal data such as video, image, and audio. We collaborate with various teams to design training data that can unleash new model capabilities, while also developing evaluation datasets that reflect real user experiences. To perform all these processes efficiently, we develop and continuously improve internal tools.Through a meticulously designed data pipeline, the ML Data Team plays a crucial role in developing Twelve Labs' world-class video understanding models.About the RoleAs the Engineering Manager for the ML Data Team, you will be a pivotal leader in building and guiding a high-performing team, while also developing the large-scale data infrastructure necessary for AI model training. This position encompasses team operations, technical architecture design, engineering recruitment and mentoring, and enhancing project execution, all aimed at fostering a high-quality data ecosystem that supports Twelve Labs' products and research.In this Role, You WillTeam Building and Technical Culture Development Lead the ML data engineering team by defining and executing the team's mission and technical strategy. Establish and execute recruitment plans to attract top talent, while fostering a high-level engineering culture through code reviews and technical mentoring.Design and Operate Multimodal ML Data Engine Design and operate pipelines for collecting, refining, and labeling petabyte-scale video, image, and audio data for AI model training. Additionally, build an automated dataset generation system for VLM/LLM training and a high-precision preprocessing engine.Design and Operate Multimodal ML Data Infrastructure Create and manage scalable data infrastructure capable of reliably processing large-scale data.Establish and Execute Data Strategy Collaborate closely with PM, research, infrastructure, product, and other organizations to establish and prioritize a data strategy aligned with the company's vision.
