Head of Data Engineering

Join Our Team!Toss Securities is rapidly growing under the mission of "Innovating every investment experience for our customers", boasting over 7.4 million registered users and 4 million active monthly users. We are currently leading in foreign stock transaction volumes. Our diverse range of investment products, including stocks, bonds, and options, expands …

Join Our Team at AirwallexAt Airwallex, we are redefining the financial landscape for global businesses through our integrated payment and financial solutions. With a unique blend of proprietary technology and infrastructure, we empower over 200,000 businesses—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—to seamlessly manage their accounts, payments, and treasury on a global scale.Founded in Melbourne, Airwallex boasts a dynamic team of over 2,000 innovative tech professionals across 26 offices worldwide. Valued at $8 billion and backed by prestigious investors such as T. Rowe Price, Visa, and Mastercard, we are at the forefront of developing the future of global payments. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.What We Are Looking ForWe value ambitious creators with a founder-like spirit who seek to make a real impact while accelerating their learning and taking ownership of their work. If you possess strong skills in software engineering, a sharp analytical mindset, and are driven by our mission and operating principles, we want you on our team. You thrive in a fast-paced environment, have a curious mindset, and make judicious decisions backed by thorough analysis.As a humble and collaborative individual, you have the ability to turn innovative ideas into tangible products and are proficient in using AI to enhance productivity. Here, you’ll face complex challenges alongside exceptional teammates while advancing your career in the evolving landscape of global banking. If this resonates with you, let’s create the future together.About the GTPN TeamThe Global Treasury and Payment Network (GTPN) team is central to Airwallex’s payment infrastructure. As our inaugural product and the largest revenue generator, GTPN plays a crucial role in enhancing customer experiences. Operating at the crossroads of traditional and modern finance, we are committed to expanding and fortifying our global treasury and payment network, while delivering innovative financial products on a solid financial foundation.We are a truly global and cross-functional engineering team, with talented engineers located in established and emerging tech hubs including the US, Singapore, Hong Kong, and Shanghai. As we scale our operations, we are on the lookout for passionate Senior Software Engineers to join our ranks. Collaborate with us to tackle exciting challenges and drive innovation in our industry.

Join Our Dynamic Team!The Data Analytics Engineer (Data Engineer) at Toss Securities is an integral part of the Data Warehouse Team within the Data Division.Your focus will be on Data Platform and Data Mart, with opportunities to collaborate cross-functionally.The Mart responsibilities include structuring and managing data from the Toss Securities domain to facilitate analysis through data warehouse and aggregation table creation.Our current team of approximately 7 members brings diverse experiences ranging from 2 to 14 years, with backgrounds in various sectors such as portals, banking, gaming, and startups. Curious About Our Data Division?The Data Division at Toss Securities strives to become a world-class securities firm by leveraging data technology, services, and data-driven decision-making.We foster close collaboration among various data roles, creating an enjoyable working environment.Regular Tech Weekly sessions are held to share expertise, allowing you to engage with and learn from other roles as per your interest. Your Responsibilities Will Include:Designing clear and reliable table structures that can be easily understood and utilized, encompassing architecture design, compliance with standards, data processing logic management, data integrity validation, DQ monitoring, security reviews, and documentation using meta management systems.Collaborating with data users to design data marts and establish pipelines for key business performance analysis.Setting the groundwork for effective data asset utilization through data cataloging and standard management.Proactively addressing essential data processing tasks in a rapidly growing service environment with your colleagues.Enhancing system efficiency by effectively refactoring and optimizing various existing mart tables through data modeling that considers consistency, reusability, and scalability.Designing data marts and constructing pipelines for external/public reporting requirements. We Are Looking For Someone Who:Has a deep understanding of the securities domain or has actively engaged in stock trading.Can clearly define key concepts of the securities domain as a DW data modeler and take the lead in designing easy-to-understand data structures.Has experience simplifying complex data models or automating repetitive issues.Can propose efficient data processing methods while adhering to data standards through smooth communication with various stakeholders.Has experience structuring enterprise tables through defining data standards and building data catalogs.Is capable of independently conducting data warehouse/mart modeling, pipeline construction, and operational tasks.Can present standards from a clear data structure and efficient utilization perspective, rather than just processing simple requests.Is proficient in SQL and can write organized queries considering readability and efficiency.Has experience developing data pipelines based on Hadoop, Airflow, and DBT.May need to have intermediate to advanced skills in PySpark, depending on the situation.Would benefit from having experience with BI tools such as Tableau. Resume Tips:Detail impactful projects you have worked on.If you have improved services, quantify the results (omit sensitive external information).Elaborate on your work related to data governance.Include business analysis or reporting experience.

Welcome to the daangn Team!At daangn, we strive to create an environment where individuals can grow alongside the company’s success.We are here to assist you in making meaningful connections with fantastic colleagues. Introducing the Data Valuation TeamThe daangn team is dedicated to discovering valuable information that connects neighborhoods and resolving inconveniences in local living. To generate this user value, we must provide easy access to reliable information for decision-making. While we already utilize vast amounts of data for our decisions, maximizing the value of our data requires substantial change.The vision of the Data Valuation Team is to "make user-centric decisions through daily data utilization." We take the lead in addressing and solving the issues of data valuation.Role of the Data Analytics EngineerThe Data Analytics Engineer ensures that data is utilized reliably and consistently, working across data modeling, engineering, and analysis to deliver value to the business and its users.In the diverse service environment of daangn, the Data Analytics Engineer will design and improve the overall flow of data collection to utilization, enabling analysts, engineers, and product teams to leverage data reliably.Moreover, the role involves designing data marts, managing quality, operating data governance frameworks, and performing basic analyses or experiments to support data-driven decision-making. Discover the Journey of the Data Valuation Team with daangn (Google Data Webinar) Learn about daangn's Metric Platform KarrotMetrics The 7 Challenges daangn Faced While Implementing DBT and Airflow How daangn's Data Engineers Simplified Modeling with DBT (2024 Data Conference) Mapping daangn Data: Column Level Lineage Building No Need to Always Pull Everything? Building MongoDB CDC at daangn Why daangn Implements User Activation Engagement in 3 Key Areas

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 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 Location This role is located in Seoul.

Speechify helps over 50 million people turn reading materials, PDFs, books, Google Docs, news articles, and websites, into audio they can listen to anywhere. Our products span iOS, Android, Mac, Chrome Extension, and Web App. Google named us Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity. Our team of nearly 200 works fully remotely, representing backgrounds from Amazon, Microsoft, Google, Stripe, Vercel, Stanford, and more. We value diverse experience and a collaborative approach. There is no central office; everyone contributes from wherever they are. Role overview The Platform Software Engineer will join the Platform team to build and maintain backend services. These systems support payments, analytics, subscriptions, product development, text-to-speech features, and external API integrations. The work directly shapes the reliability and reach of Speechify’s core products. This position calls for someone who thinks strategically and cares about delivering strong user experiences. The team operates with a flat structure, leadership comes from technical skill and consistent results, not job titles. What matters here Solid work ethic and follow-through Clear, effective communication Drive to compete and improve Interview process The process includes several technical interviews, typically completed within one week. Location This role is based in Seoul, South Korea.

Join our dynamic team at Toss as a Data Analytics Engineer, where you will play a crucial role in transforming raw data into actionable insights. You will collaborate with cross-functional teams to identify opportunities for improving our services and enhancing user experiences.

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!

Founded in 2006 by passionate gamers, Riot Games is committed to crafting player-centric games that resonate with audiences worldwide. Our flagship title, League of Legends, launched in 2009, has since become a global phenomenon, captivating over 100 million players each month. We continuously strive to enhance the League of Legends experience, placing players at the heart of our community. We are on the lookout for humble yet ambitious professionals, sharp-minded individuals who can share their insights while we reciprocate with our own. If you have a serious passion for gaming, thrive on innovation, and are unafraid to challenge the status quo, we want to hear from you! As the Manager of Software Engineering in the Publishing Engagement team within the Publishing Platform, you will lead engineers dedicated to designing, developing, and maintaining platform services that facilitate game content delivery and enrich player experiences across various games and platforms. Collaborating with game developers, central tech groups, and legal and business teams in Korea, you will ensure high-quality standards while optimizing operations for players both locally and globally. Your extensive knowledge of technical systems will guide the team in building, operating, and scaling our services. You will influence critical technical decisions, oversee documentation and process enhancements, and mentor engineers in delivering integrated, multi-platform gaming experiences. Your leadership will cultivate an environment of clarity, discipline, and agility, empowering the team to make a significant impact. You will report directly to the Senior Manager of Software Engineering, who supervises multiple teams under the Meta Game Services initiative.

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.

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."

About the Data Reliability Team The Data Reliability Team at Toss, part of the Data Platform Tribe, focuses on monitoring the company’s data assets end-to-end. The team identifies critical data points, manages data quality checks, and oversees the full data lifecycle. Formed to address the lack of visibility into how backend and frontend code deployments affect data, features, models, and serving processes, the team plays a key role in maintaining trust in Toss’s data infrastructure. What You Will Do Design and build pipelines to generate features used across the organization, including inputs for machine learning models, Elasticsearch indices, Redis, and API responses. Develop and operate systems for feature quality management, such as retention policies and data quality maintenance. Directly develop common features that serve multiple teams within Toss. Review existing metadata for features and models, and work to fill any gaps in metadata coverage. Create processes to detect ad-hoc features and promote them to Verified Features status. Systematically manage data quality and assess the impact of data as it flows into online serving and machine learning systems. Who We’re Looking For Experience in feature engineering or in designing and building a feature store. Proven ability to design and build large-scale data pipelines using tools such as Spark, Flink, or Kafka. Familiarity with data lineage or metadata management systems is a plus. Experience building or operating data quality monitoring systems is also valued. Application Tips If you have designed or operated a feature store, please describe its structure and the challenges it addressed in your application. Include examples of how you have systematically resolved data quality issues. Hiring Process Application Job Interview Cultural Fit Interview Reference Check Compensation Negotiation Final Acceptance and Onboarding Why Join Toss as a Data Analytics Engineer This role offers the chance to set the standard for organization-wide features at Toss. Help design processes and management systems, and lead the development and operation of shared data infrastructure that supports the company’s growth. Location Seoul

# Join Us in the Domain- Commerce: Our commerce domain, initiated to enhance simple payment solutions, has grown to provide both group buying and administrative services for sellers. You will own the data for the commerce domain and play a crucial role in expanding our services, significantly contributing to Toss's growth.- Ads: You will take ownership of the advertising domain data to deliver meaningful ads to Toss users. Toss Ads is the most effective performance advertising platform in Korea, and you will help build a solid foundation for its efficient utilization.- Pay: As a key area of finance, the payment domain significantly steers Toss's growth. You will facilitate connections with various merchants and external organizations to develop Toss Pay, ensuring smooth analysis and insights from payment data.- Growth: Focused on enhancing user engagement and economic value, you will strategize and execute plans for the growth of new services and cross-activation of Toss users.- Business: Placed within the business organization that drives revenue growth for Toss, you will utilize comprehensive data across various domains to provide insights for business analytics and revenue growth strategies.- An interview process will determine the most synergistic domain for your placement, considering your strengths and the organization's needs.- **Want to learn more about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)

Join Our Platform DivisionOur Platform Division is dedicated to building solutions that empower Toss members to tackle complex problems swiftly and securely. We manage essential services such as settlement systems, internal solutions, and the Toss home screen.Your Role and ResponsibilitiesUpon joining, your specific team and responsibilities will be tailored based on your strengths and background during the interview process.1 Finance ProductSettlement AdminDesign and operate a platform that accurately and reliably processes settlements for all transactions at Toss (online, offline, shopping, etc.).Aggregate millions of payment transactions for daily disbursement to merchants.Manage a settlement platform for various services including loans, credit cards, and insurance.Oversee a platform for managing receivables generated by diverse services.Contract OperationsMeta-structure all contracts at Toss and streamline the flow from contracts to costs, payments, and revenues through our system.2 Intelligence ProductPersonalized Recommendations & AdvertisingDesign and develop a recommendation and advertising system that helps users discover essential services while driving revenue growth for businesses.Optimize the exposure and delivery of the most suitable services from a plethora of offerings in the Toss app at the right moment, enhancing user experience.Design and manage servers capable of delivering personalized services quickly and reliably, even in high-traffic environments.CRM & Marketing AutomationBuild a CRM platform that allows for integrated management of marketing channels such as push notifications and in-app messages, automating campaign execution and operations.Create AI agents that autonomously execute advertising campaigns and adapt based on real-time customer feedback.Collaborate closely with marketers to identify and resolve recurring bottlenecks through engineering solutions.Experiment & Data Analysis PlatformDesign a platform that supports experimentation across the Toss app, enabling rapid hypothesis testing and outcome analysis.Handle audience lifecycle covering segment creation to funnel analysis based on behavioral logs and attribute data.Quickly process and serve large volumes of complex experimental data to provide immediate insights for decision-making.Work closely with PMs and data analysts from experiment design to result interpretation, addressing discovered inconveniences through platform solutions.We Seek Individuals Who1 Finance ProductEven if you lack domain-specific experience, we are looking for individuals eager to understand and master the financial flows within Toss. Experience in developing systems in domains where data integrity and reliability are paramount is essential. You should enjoy modeling complex domains and resolving them through systems in close collaboration with operational personnel.2 Intelligence ProductWe need individuals who have experience creating services that consider user context such as recommendations, personalization, and advertising. You should be interested in automating repetitive tasks and designing systems that operate autonomously without human intervention. Experience in structuring complex, large datasets and designing pipelines for fast querying and serving is a must. Enjoy working with product planners and data analysts to formulate hypotheses, validate them through experiments, and enhance products. Experience applying AI/ML technology in production environments is advantageous but not mandatory.Please NoteThis position requires a minimum of one year of practical experience...

Join Our TeamThe Data Analytics Engineer at Toss Securities is a key member of the Data Warehouse Team within the Data Division.Your responsibilities will focus on our Data Warehouse Platform, Business Mart, and CPC Mart.The CPC (Central Point of Contact) Mart is designed to establish a reliable data infrastructure that meets various regulatory demands (CPC, disclosures, periodic reports) while enhancing Toss Securities' external credibility and internal operational efficiency through automation and advancement.We are enhancing and refining the information shared with Business Mart and the proprietary data required for CPC.Our team consists of around 7 members with diverse backgrounds, ranging from 2 to 14 years of experience in various sectors such as portals, finance, gaming, and startups.Your ResponsibilitiesImplement and respond to external requests from regulatory authorities (CPC, disclosures, periodic reporting) through our systems.Design, build, and manage necessary data marts and dashboards for the required reports.Ensure the reliability of reporting systems through data integrity and quality management (DQ).Collaborate with various departments (domestic/international trading ledgers, accounts, compliance, PM, etc.) to provide data support for data-driven decision-making.Systematically manage reporting tasks based on legal frameworks.Establish a foundation for effectively utilizing data assets through data cataloging and standard management.Proactively resolve essential data processing tasks in our rapidly growing services through collaboration with colleagues.Enhance system efficiency by refactoring and optimizing existing mart tables through data modeling that considers consistency, reusability, and scalability.Who We Are Looking ForExperience in CPC-related tasks is preferred.A strong knowledge of the securities domain or active experience in stock trading is a plus.You should be able to clearly define key concepts in the securities domain as a DW data modeler and lead the design of understandable and clear data structures.We need someone who has experience simplifying complex data models or automating repetitive problems.You should be able to propose efficient data processing methods while maintaining data standards based on smooth communication with various stakeholders.Experience in defining enterprise data standards and structuring tables through data cataloging would be beneficial.You must possess the capability and experience to take the lead in data warehouse/mart modeling, pipeline construction, and operations.You should be able to provide standards from the perspective of clear data structures and efficient data utilization, rather than merely processing simple requests.Strong SQL skills are required, with the ability to write efficient and readable code.Experience in data pipeline development based on Hadoop, Airflow, and DBT is a plus.In some cases, a basic understanding of pySpark may be required.Experience with BI tools (such as Tableau) is a plus.Resume RecommendationsDetail your experience designing and building Data Warehouses considering requirements and data infrastructure environments.Include the problems you wish to solve and how you approached and resolved them.Highlight your important table design methodologies while building Data Warehouses in your resume.Detail any work you have done related to data governance.Include specific experiences where you boosted data utilization by leveraging DW tables, such as business analysis or reporting automation.Be specific about your experience managing data quality, such as handling duplicates or outliers.

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 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.

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.

About the Role Toss is looking for a Data Analytics Engineer focused on Financial Operations (FinOps) in Seoul. This position centers on analyzing financial data and supporting decisions that improve financial processes. The work directly impacts how the company manages and optimizes its financial performance. What You Will Do Analyze financial data to support operational decisions Work closely with teams across the company to identify areas for improvement Develop insights that help optimize financial workflows Contribute to the development of fintech solutions by providing data-driven recommendations Collaboration This role involves frequent collaboration with cross-functional teams. Expect to share findings, discuss strategies, and help shape financial operations through data.

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.