Software Engineer II, GTPN Platform

Join Our Team at AirwallexAirwallex is pioneering a unified payments and financial platform designed for global businesses. Our innovative infrastructure and software empower over 200,000 businesses, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN, to seamlessly manage everything from business accounts and payments to spend managemen…

About AirwallexAirwallex is a pioneering unified payments and financial platform designed for global enterprises. With our unique blend of proprietary infrastructure and software, we empower more than 200,000 businesses globally—including industry leaders such as Brex, Rippling, Navan, Qantas, SHEIN, and others—with fully integrated solutions for managing business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we take pride in our diverse team of over 2,000 innovative professionals across 26 offices worldwide. Valued at $8 billion and supported by renowned investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of developing the future of global payments and financial services. If you’re ready to embark on the most ambitious journey of your career, we invite you to join us.

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.

Role overview Airwallex is seeking an Engineering Manager for the GTPN Platform in Seoul. This position leads a group of engineers dedicated to improving the platform’s features and reliability. The role involves close collaboration with teams throughout the company to achieve technical goals and support ongoing enhancements. What you will do Guide and mentor engineers working on the GTPN Platform Oversee projects that expand and strengthen the platform’s capabilities Collaborate with cross-functional teams to meet project objectives Promote a culture that prioritizes technical quality and creative problem-solving Location This role is based in Seoul, South Korea.

Role Overview Tosscareers is hiring an AIOps Platform Engineer in Seoul. This role focuses on building and improving AIOps platforms that support IT operations. The work centers on integrating AI with operations to improve performance and reliability. What You Will Do Work with teams from different disciplines to design and develop AIOps solutions Implement platforms that help automate and optimize IT operations Contribute technical expertise to projects that connect AI tools with operational workflows Support the stability and efficiency of IT systems through AI-driven approaches Location This position is based 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 innovative team as a Frontend Platform Engineer, where you will play a pivotal role in developing and enhancing our cutting-edge frontend technologies. You'll collaborate closely with cross-functional teams to design, implement, and maintain high-quality user interfaces that elevate our platform's performance and user experience. If you're passionate about creating seamless web applications and have a knack for problem-solving, we want to hear from you!

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 dynamic team at Daangn as a Frontend Software Engineer dedicated to building engaging community platforms. You will be responsible for developing user-friendly web applications that enhance user experiences and foster community interaction. Collaborate with cross-functional teams to design and implement innovative solutions that meet the needs of our users.

# Join Our Team- The AI Platform team is on a mission to create a platform that enables everyone to use AI technology quickly and reliably. We technically support the use of AI across Toss.- We are developing the necessary tools and platforms for new AI systems such as Retrieval-Augmented Generation, Agents, and Assistants to be rapidly experimented with and reliably operated.- The platform we create is not just a simple toolkit; it is designed with scalability in mind, allowing AI technology to be implemented by more teams effectively.- Addressing unresolved problems means that collaboratively defining and structuring technical directions is crucial.- **Want to learn more about Toss’s data organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)# Responsibilities- Integrate LLM-based components such as Retrieval, Generation, and Vector Search into a platform that various teams can reuse.- Provide features that integrate both SaaS and self-hosted LLMs and ensure stable operations.- Design the foundation for creating and experimenting with Agent systems more easily, including prompts, tools, and context configurations.- After experiments, ensure stable operation in the service by systematizing and tooling the serving and operational flow of RAG and Agents.- Develop a foundation to quantitatively evaluate the performance and quality of Agents and provide it as a platform.- Design a common environment and experience to enable rapid experimentation and application of AI systems not only within the team but also across other teams.- Structure unformatted technical elements and create directions that can expand into broader problems.# We Are Looking For- Individuals with experience applying technologies such as LLM, RAG, and Agents to real-world problems.- Those who can technically define unstructured problems and systematically solve them.- Candidates who have collaborated with multiple teams to develop and operate technology as if it were a product.- Those who can quickly adapt to new technological trends and integrate them naturally within the team.- Individuals interested in simplifying complex AI systems into a consistent and straightforward user experience.# Preferred Qualifications- Experience designing RAG components such as Retrieval, Generation, and Vector Search independently and integrating them at the system level.- Experience selecting and operating various LLM serving structures (OpenAI API, HuggingFace, vLLM) tailored to service situations.- Experience structuring various purpose-driven Agents and applying them in service operations is highly welcomed.- Experience proactively designing experimental environments or tools based on the requirements of platform users (internal developers, model engineers, etc.).- Experience creating and operating common platforms or RAG-based systems that can be extended across multiple projects or domains is especially desirable.# Resume Tips- If your past projects had significant impacts on the organization, please detail them.- Rather than just listing languages, platforms, frameworks, or technologies used, provide context about the project's objectives, the methods you employed, and how you solved the problems.- Include experiences where you resolved critical issues during platform operations or optimized performance/resources.- If you have contributed to open source by fixing bugs or enhancing functionalities, please share those experiences.# The Journey to Join Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance- The job interview will feature in-depth technical interviews focused on ML system design.# A Message for Future Colleagues“We don’t just serve rapidly evolving AI models; we build systems that ensure these models operate stably and are continuously improved.”- The AI Platform team is responsible for the serving, experimenting, and operating infrastructure of various AI technologies such as LLM-based services, RAG systems, and search infrastructure to ensure smooth operation in production environments.- We efficiently manage GPU resources and clusters, utilizing vLLM, Triton, Model Registry, etc., to automate experiments and deployments.

Join our innovative team as a Frontend Platform Engineer at Toss, where we revolutionize the way people manage their finances through cutting-edge technology and seamless user experiences.

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 Dynamic Team!The Data Engineer for Workflow Platform is an integral member of Toss Bank's Data Division, specifically within the Data Platform team.This team comprises three key areas: Data Infrastructure & Hadoop, Streaming Platform, and Workflow Platform.We operate various Data Platforms, including Hadoop, Kafka, CDC, and Airflow.Our mission is to ensure the reliability and scalability of the enterprise data infrastructure, ensuring all data is securely collected and processed.Your Responsibilities:Design and operate a large-scale data workflow execution platform in an on-premise Kubernetes environment.Optimize resources to ensure the stable execution of large workflows across various data organizations, enhancing platform performance and reliability.Collaborate with enterprise data engineers to improve the execution quality of the overall data pipeline and enhance developer experience.Monitor workflow execution status, design and improve systems for automated fault detection, alerts, and recovery procedures.Safely manage workflow executions in accordance with internal control standards of the financial sector, advancing a systematic history management system.Continuously review and implement new technologies and open-source solutions to enhance the performance and scalability of the workflow platform.We Are Looking For:Experience operating an Airflow-based workflow orchestration system with proven improvements in stability, scalability, and execution efficiency.Background in developing Python-based data workflows and platform services.Understanding of container technologies (Docker, Kubernetes, etc.) and experience in automating service deployment and configuration using tools like Helm.Ability to understand company environments and communicate effectively with various teams during service development.A keen interest in improving operational efficiency and optimization in large-scale workflow environments.Desire to enhance platform user experience to facilitate easier and safer pipeline development and operations for in-house data engineers.A proactive approach to analyzing, modifying, and improving open-source solutions at the code level to solve issues.Resume Submission Tips:Clearly outline impactful projects you have worked on in your career.Focus on experiences related to data platforms, particularly with Airflow, Kubernetes, and Python.

Join Us and Engage in Exciting Work! After completing a comprehensive onboarding process to familiarize yourself with the Toss data environment, you will be part of the Data Warehouse Team, undertaking the following responsibilities: Develop a data quality platform that enhances table consistency, advances DQ rules, and establishes health check metrics. We aim to create a reliability management platform allowing all data users to work without questioning, 'Can I trust this data?'.Enhance the GraphRAG pipeline. Build a knowledge graph construction pipeline that extracts entities by parsing ontology YAML, SQL, and code, followed by vector embedding for indexing in Elasticsearch, making Toss's data assets easily navigable for everyone.Design and operate MSA architectures. Split necessary services for the ontology platform into microservices, ensuring each is designed, implemented, and operated reliably.Develop AI agent infrastructure. Create a multi-agent workflow execution environment based on open-source agent frameworks like CrewAI. Establish an MCP Tool Registry and develop integration infrastructure with external MCP servers.Build an early warning platform. Create a monitoring system that detects anomalies in data lineage, code, and trends, automatically performing alerts and analyses to identify issues before they escalate.Develop a lineage tracking engine. Create a system that automatically analyzes the extent of impacts by parsing SQL to extract column-wise influence relationships, determining how far changes propagate.

Join our dynamic team as a Data Engineer specializing in log platforms. In this role, you will work with cutting-edge technologies to design, build, and maintain robust data pipelines. Your expertise will help us manage and analyze extensive log data, enabling improved decision-making and operational efficiency.

About the Team You'll Join The ML Engineer (Platform) at Toss Securities is part of the ML Platform Team within the Product Division. The mission of the ML Platform Team is to create an optimal machine learning platform that enables efficient and stable development and operation of various AI/ML services at Toss Securities. Your Responsibilities Upon Joining Develop and enhance the Gateway system, the gateway for ML services. Develop and operate a Gateway system based on FastAPI that handles enterprise-level LLM API requests. Design and implement authentication, routing, traffic control, fault isolation (Circuit Breaker, Fallback), large-scale TPS processing, and load balancing strategies from both application and infrastructure perspectives in the FastAPI-based Gateway application. Manage and serve ML services. Directly operate a machine learning model serving system in a Kubernetes environment. Design and improve the LLM serving architecture to operate stably under large traffic conditions. Monitor latency, error rates, resource usage, and analyze and resolve operational issues for the models in service. Identify root causes of failures and implement structural improvements, including operational policies and architecture. Develop and manage a common ML platform for the company. Develop and manage a common platform for efficiently operating the training and serving of internal ML/LLM models based on Kubeflow. Continuously monitor and optimize the performance and resources of workloads executed on the platform. Build infrastructure for LLM-based services. Operate LLM services using various serving frameworks such as vLLM, SGLang, and Triton. Manage the environment to ensure stable operation of training and serving workloads on high-performance GPU clusters like H100/B300. Build and operate a large-scale data training environment for finance domain-specific LLMs. We Are Looking for Candidates Who: Are proficient in one or more programming languages such as Python, Go, Java, or Kotlin, and have experience designing and developing API servers in production environments. Have experience developing or operating API Gateways (Nginx, Kong, etc.) or LLM Routers (LiteLLM, Envoy AI Gateway, etc.), with a background in handling high-volume traffic and incident response. Have experience operating serving logs and event pipelines integrated with Kafka, Elasticsearch, and Kibana. Have experience defining monitoring metrics for model serving and configuring and operating dashboards using Prometheus and Grafana. Have experience operating ML/LLM model serving using KServe, BentoML, vLLM, SGLang, etc. Have experience directly managing MLOps components (Kubeflow, KServe, Airflow, Argo CD, MLflow, etc.) in Kubernetes environments and debugging and resolving issues. Can design and apply long-term improvement plans through root cause analysis beyond short-term responses to issues that arise during service operations. Additional Preferred Experience: Experience in related fields or technologies will be a plus.

Join the Toss Securities Frontend Chapter!At Toss Securities, we are dedicated to creating innovative mobile products that seamlessly integrate native Android and iOS applications with web views using modern web technologies. Our mission is to simplify complex investment products, ensuring that everyone can enjoy a user-friendly and sleek investment experience.We leverage cutting-edge engineering techniques to showcase real-time data without interruptions, optimizing performance for our users.Your Responsibilities:- Optimize performance across various domains including browser, CDN, and network to provide the best user experience for over 2.5 million daily active users and 90,000 concurrent users.- Provide guidance and modules to product developers for easy performance optimization.- Actively manage a redundant deployment infrastructure utilizing cloud services such as AWS and Cloudflare.- Develop monitoring and error response tools tailored for real-time traffic.- Build a self-service MFA development framework that allows independent development across teams.- Provide a client log SDK operated by Toss Securities.- Create a development environment that facilitates a smooth transition between native and web view screens, free from compatibility issues.What We've Achieved:- Our mobile products at Toss Securities operate as a unified service, employing a Micro Frontend Architecture (MFA) to reduce complexity in product development.- Implemented a SharedWorker-based module to optimize WebSocket communication for our PC platform.- Established a deployment pipeline that supports rapid and reliable FE platform releases multiple times a day.What We're Looking For:- A deep understanding of frontend development and deployment environments.- Proven experience in identifying and improving issues within these environments.- Experience in accurately analyzing and resolving root causes beyond merely solving problems.- A background in automating frequent tasks to a high degree.- A keen interest in testing within frontend environments.Resume Tips:- Highlight the impact and learning points from your experiences, rather than just listing them.- Share your understanding of web browser mechanics and any experiences that improved web service performance.- Provide details on your understanding of transpiling and bundling, especially in supporting a wide range of browsers efficiently.- Mention any experience managing multiple packages within a single monorepo.- Discuss your proactive approach to researching and adopting new technologies.Technologies We Use:- Core: React, TypeScript- Package Managers: PNPM, Yarn- Build Tools: ESBuild, Vite, Webpack, SWC, Babel- Infrastructure: AWS, CloudFlare, Terraform- Monitoring: Sentry, Grafana- CI/CD: GitHub Actions, GoCDYour Journey with Toss Securities:- Application submission > Pre-assessment task > Technical interview > Cultural fit interview > Reference check > Offer negotiation > Final acceptance and onboarding.Please Note:- Any false information in your resume or disciplinary issues during your employment history may result in cancellation of recruitment.- Candidates subject to hiring restrictions according to Toss Securities regulations may also be disqualified.- Individuals with disabilities and veterans will be given preferential consideration in accordance with relevant laws.- The job title upon joining will be 'Frontend Developer'.A Message to Future Colleagues:"We support our best colleagues to achieve exceptional performance."

Join Our Team! As a Server Developer (Platform) at Toss Bank, you will be an integral part of our Platform Team, ensuring the seamless operation of our banking services. We are dedicated to rapid recovery from unexpected service disruptions, preparing thoroughly to maintain stable and reliable operations. Our team consists of talented professionals from promising IT companies, all committed to ensuring the stability of our banking systems. We aim to enhance user experience by enabling our users to enjoy safe, fast, and reliable banking services through automated analysis and runtime enhancements. Your Responsibilities: You will develop and operate platform services used by Toss Bank (including high-volume message delivery, API gateways, APM, monitoring & alert systems, ELK, HAProxy, etc.). Provide common functionalities (Metric, Logging, Message Queue, Distributed Lock, Memory Cache, etc.) as platform libraries for our services. Implement redundancy measures to ensure stable service operations. Respond to various failures, analyze incidents, and work to prevent future occurrences. Collaborate with the infrastructure team during large data center operations to ensure service continuity. Who We’re Looking For: Experience in designing and operating highly available, scalable systems is essential. Experience in developing systems that handle large-scale real-time traffic is required. Proficiency in development using the Spring Framework is necessary. A history of continuous efforts in performance optimization and operational automation. Quick thinking and problem-solving skills are a must. A willingness to embrace change and adapt quickly to new technologies for ongoing growth. Ability to foster growth among fellow developers through collaboration. Enjoyment of mission-critical service environments with a strong sense of responsibility. Please include the following in your resume: A minimum of one specific project you participated in, detailing your contributions and the process of overcoming challenging tasks. Share various problems encountered while operating systems and detail your personal attempts and results in resolving those issues. If you have similar experiences in developing systems that handle large-scale real-time traffic, please provide detailed examples. Share your growth aspirations as a developer and the efforts you are making toward that growth.

Join Our Dynamic TeamAs a Data Engineer at Toss, you will be part of the Data Platform team.The Data Platform team operates within the Data Division, supporting and managing the data and platforms necessary for all Toss services.Our team comprises members with 2 to 18 years of experience from diverse backgrounds, including portals, banking, gaming, and startups.We encourage team members to pursue various interests and collaborate freely on skills and knowledge sharing.Your ResponsibilitiesDevelop and maintain stable and efficient data pipelines (ingestion, loading, streaming).Contribute to data-driven Toss services through real-time distributed processing of large datasets.Create and manage tools to ensure a reliable and efficient data experimentation and analysis environment for your colleagues.Develop various data service applications for data analysis and platform operation.Who You AreYou have experience in developing data pipelines for large-scale data processing (collection, processing, analysis).You are familiar with large-scale distributed systems (Hadoop, HBase, Kafka, Spark, Flink, etc.).You possess software development skills for data application development (Java, Scala, Python, etc.).You have intermediate or advanced programming skills (web/client/server programming).Experience in developing services related to recommendations/advertising/machine learning is a plus.Please Highlight These Experiences in Your ResumeDetail the projects you worked on, the technologies you used, and how you solved challenges, rather than just listing languages or frameworks.Experience using platforms similar to Toss is beneficial, but we prioritize growth potential and problem-solving abilities over specific technologies.Include any experience resolving critical failures while operating platforms or optimizing for performance and resource usage.Share experiences where you identified and resolved bugs in open-source software or contributed enhancements.Your Journey to Joining TossApplication submission > Technical interview > Cultural fit interview > Reference check > Compensation discussion > Final offer

Join Us to Create the Future of Communication!At ChannelTalk, we are dedicated to driving sustainable growth for businesses through our all-in-one AI messenger, which focuses on enhancing customer conversations to guide business directions effectively.Embracing the philosophy that 'the customer has the answers', we integrate CRM-based support experiences with AI automation to streamline customer service efficiency and improve customer experiences, all within a single product. Our rapid growth, achieving over 20% market share in Japan, sets a solid foundation for our ambitious expansion into the US market as a global SaaS leader.We collaborate with top talents to develop a 'future classic' product that could symbolize a new generation, much like Google Search and the iPhone.