AI Engineer (E-Commerce Solutions)

# About the Team- The Machine Learning Engineer (Commerce AI) position plays a crucial role in addressing various operational and service challenges within the Toss commerce domain using advanced AI technologies.- The team tackles complex issues like operation automation, seller evaluation, product information, and search quality that require sophisticated judgment across the commerce spectrum.- Utilizing a variety of AI technologies such as LLM, RAG, and multimodal models, we design innovative approaches to define and solve problems.- We go beyond simply solving existing issues; we redefine and expand the problems themselves.- **Interested in learning more about Toss's data organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)# Responsibilities- Leverage diverse forms of information including text, images, audio, and structured data to model and resolve complex challenges within the commerce domain.- Experiment with large language models (LLM), RAG, and multimodal models to explore new solutions for previously unsolvable tasks.- Investigate opportunities to apply AI to areas that have not been clearly defined before.- Validate the effectiveness of designed models through offline/online experiments and quantitative evaluations, maintaining iterative improvement routines.- Design solutions that not only emphasize technical sophistication but also consider business applicability and sustainability.# Ideal Candidate- Experience in solving problems using ML technologies, including the latest AI techniques (LLM/RAG, LMM), with a strong understanding of business requirements.- Proficiency in designing models that integrate various forms of data (text, images, audio, structured data) and rapidly adapting them.- Familiarity with applying ML technologies to services and improving them iteratively, along with a comprehensive understanding of service architecture.- Demonstrated leadership throughout the entire process from problem definition to model design, experimentation, and quantitative evaluation.- Proficiency in the latest AI ecosystem, including tools like PyTorch, Hugging Face Transformers, and LangChain.- Experience in designing solutions that account for both technical experimentation and service applicability and scalability.- A keen interest and ability to explore and technically define new problems.# Resume Tips- Instead of merely listing modeling techniques, provide concrete examples of improvements made and their impacts.- Highlight any significant achievements derived from experiments and iterative improvements under various constraints.- Emphasize your role in collaborative processes and how you contributed to problem-solving beyond just technical aspects.# Recruitment Process- Application submission > 1st Technical Interview (Coding) > 2nd Technical Interview > Cultural Fit Interview > Reference Check > Compensation Negotiation > Final Acceptance.- The first interview will include a straightforward coding test, resume review, and basic ML knowledge assessment.- The second interview will focus on in-depth technical discussions and ML system design.# A Note for Future Colleagues> "Solving complex problems with AI is just the beginning.What we truly focus on is re-examining the problems themselves and transforming them for the better."- It’s not just about feeding refined data into models; it’s about contemplating how to technically resolve problems that are still undefined.- We always begin with questions like, "Do we really need to model this?" and engage in a process of redefining the problem to find the most impactful solutions.- We aim to design new workflows led by AI, rather than merely applying AI to tasks that have been traditionally performed manually.

Join our innovative Commerce domain at Toss, where we empower businesses through our cutting-edge B2C e-commerce platform, Toss Shopping.Toss comprises a division responsible for shared products and various domains running distinct, complete businesses.The Commerce domain operates Toss Shopping, a rapidly growing B2C e-commerce service.Since its launch in 2024, Commerce has become one of the fastest-growing areas at Toss.We are poised to provide innovative experiences and explosive growth this year.As a Product Owner, you will oversee a range of services:Ads: Design advertising products for sellers, manage advertising tools, and analyze performance within the Toss Shopping ecosystem.Order: Focus on core order and payment flows, including cart management, payment processes, and order modifications.Listing: Enhance product discovery experiences, including search functionalities, sorting, recommendations, and category organization.Contents: Curate product detail pages, reviews, and brand content for a content-rich shopping experience.Promotion: Develop and manage promotional tools such as coupons, time deals, and discount events.In this role, you will:Collaborate with your silo or team to establish and achieve biannual goals for your product.Take ownership of business direction, revenue, and monetization strategies, working closely with your team to identify the best pathways forward.Define key performance indicators, design business models, and drive actionable initiatives.Identify valid hypotheses, conduct data-driven experiments, validate hypotheses, and iterate to achieve Product-Market Fit.Analyze customer needs and business impacts, clearly defining problems and solutions for various stakeholders.Experience the journey of discovering and solving challenges like a startup CEO, gaining insights from both successes and failures.We are looking for individuals who:Have experience in defining and solving customer problems from their perspective.Can leverage data to tackle complex challenges effectively.Are resilient in challenging situations, committed to finding solutions.

# About the Team- This position joins the team at Toss Commerce, which is developing a system for real-time voice interactions with customers using AI.- Unlike text chatbots, this involves actual phone conversations where customers may interrupt, change context suddenly, or leave pauses. The AI must manage these situations seamlessly.- We apply cutting-edge AI technologies such as LLM, Multi-Agent systems, Automatic Prompt Optimization (APO), and LLM-as-Judge in the demanding environment of live customer calls, validating our approaches with real data every day.- Real-time voice interactions combined with LLM are still uncharted territory in the industry. Our team goes beyond just reading papers; we create solutions directly from actual call data. # Responsibilities- Design and implement core features for a voice-based AI agent, including managing conversation flow, state management, tool calling, and safety measures.- Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) to create a production-level voice user experience (UX) aimed at low-latency, high-quality interactions.- Develop and manage experimental routines that enhance the overall quality of the agent, focusing on prompts, context configuration, LLM as a Judge, and offline/online experiments.- Explore innovative approaches to challenges that are difficult to solve with traditional methods using large language models (LLM), Retrieval-Augmented Generation (RAG), and multimodal models.- Investigate possibilities for applying AI in areas that have not yet been clearly defined, in addition to problem-solving.- Design solutions that consider not only technical sophistication but also business applicability and sustainability. # Desired Candidate- Experience in solving complex problems using advanced AI technologies such as Multi-Agent systems, LLM, RAG, and multimodal models is essential.- Proficiency in integrating diverse data types (text, images, structured data) to design and experiment with models is required.- A keen interest and ability to explore and technically define new problems is preferred.- Experience leading the complete process from problem definition to model design, experimentation, and quantitative evaluation is advantageous. We seek someone who can systematically enhance quality based on datasets, metrics, and guardrails.- Familiarity with the latest AI ecosystem tools such as PyTorch, Hugging Face Transformers, and LangChain is necessary.- Experience designing with consideration for not just technical experiments but also service applicability and scalability is a plus.- Understanding trade-offs between quality, latency, and cost, with demonstrated ability to make context-appropriate choices and optimizations, is highly valued. # Resume Tips- Rather than simply listing modeling techniques, it's more impactful to showcase specific improvements and their effects.- Highlight experiences where you achieved meaningful results through experiments and iterative improvements in varying data conditions or constraints.- It would be beneficial to illustrate your role in collaborative processes and how you contributed to problem-solving beyond technical aspects. # Joining Toss- Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance- The job interview will include in-depth technical discussions and ML system design. # A Note to Potential Colleagues> “Solving complex problems with AI is just the beginning.What we truly focus on is re-examining the problems themselves and transforming them for the better.”> - It's not just about feeding clean data into models; it's more about contemplating how to technically resolve issues that are yet to be defined.> - We begin every time with, “Do we really need to solve this with modeling?” and engage in a process of re-evaluating what the most impactful approach might be.> - We can design a new flow centered around AI, rather than just attaching AI to tasks previously handled manually by service or operations teams.

Join our dynamic team as a Data Analyst specializing in e-commerce, where you'll play a crucial role in transforming data into actionable insights. Your expertise will help drive data-informed decisions that enhance our business strategies and improve customer experiences.

Welcome to Your Journey with Daangn Team!At Daangn, we strive to create an environment where individuals can grow alongside the company. Our hiring team is here to assist you in achieving those joyful moments with wonderful colleagues. Introducing the Commerce TeamThe Commerce Team is dedicated to creating a new shopping experience within Daangn. We aim to redefine local commerce in our unique way, moving beyond just an online shopping mall. Our platform connects seamlessly with various Daangn services such as second-hand trading, community engagement, and local maps, allowing our 20 million users to enjoy shopping in a familiar environment.Our commerce platform embodies Daangn's DNA of community engagement, fostering group purchases with neighbors and offering exclusive local merchandise that provides new values not found in traditional e-commerce. We envision a commerce experience that makes shopping special through neighborly connections.The Commerce Team operates like an early-stage startup. Everyone acts as a project manager and researcher, obsessively focusing on customer problems. We encourage cross-functional collaboration, where anyone can propose ideas, experiment, and learn from outcomes. Quick execution and a learning attitude from failures are essential to us.Your RoleCurrently, we are focused on solidifying the fundamental functions of commerce such as product management, payment, delivery, and exhibitions. However, we plan to gradually introduce innovative commerce features infused with Daangn's unique character. Your ideas and execution will play a crucial role in shaping the direction of our services.Create an Engaging Commerce User ExperienceDesign and implement intuitive interfaces from product exploration to purchase completion.Ensure a consistent shopping experience across web views and websites while rapidly deploying event/exhibition pages.Experiment and Learn QuicklyQuickly implement and test various experimental features that go beyond traditional commerce functionalities.Regularly conduct A/B testing and continuously improve user experience based on data.Develop Efficient Management Tools for SellersBuild seller pages for product registration, order/inventory management, and settlements.Provide dashboards that visualize sales performance at a glance through data visualization.Maximize Development Speed with AIRapidly implement UI components and prototypes using tools like Claude Code and Cursor.Automate repetitive tasks with AI, investing saved time into user experience innovations.Ideal Candidate Profile4+ years of experience in frontend development.Obsessive about solving customer problems and committed to seeing projects through to completion.Quickly adapt to new tech stacks and balance rapid execution with scalability considerations.Collaborate openly with diverse teams and maintain a learning attitude from failures.Make autonomous engineering judgments and executions even before business decisions.Actively utilize AI tools (e.g., Claude Code, Cursor) to enhance productivity and focus on business impact.Preferred QualificationsExperience with TypeScript and React.Understanding and experience in the e-commerce domain.Handled complex state management (e.g., Recoil, Zustand).Familiarity with GraphQL architecture and experience using Relay.Understanding of execution environments (e.g., web browsers, in-app web views) and their policies.Additional NotesThis is a full-time position with competitive compensation and benefits.

Join us in creating an exceptional shopping experience within the Toss Commerce domain, where customers can easily discover products and enjoy seamless shopping.Toss Commerce is dedicated to providing users with an enjoyable shopping experience within a financial services-based super app.We utilize machine learning-driven recommendations and advertisements to offer customers new discoveries while fostering revenue growth and operational efficiency for sellers.Our mission is to connect quality products with customers naturally, creating a symbiotic growth environment for customers, sellers, and the platform.As a Technical Product Owner, you will:Establish quarterly objectives for your product and collaborate across teams to achieve them.Identify and resolve technical challenges within the commerce domain, including search, recommendations, advertising, and AI.Design and operate systems that provide optimal exploration experiences for customers and performance metrics for sellers, leveraging your technical expertise.Your responsibilities will include:Defining issues within the search, recommendations, and advertising systems, driving solutions forward.Ensuring complex technical tasks such as modeling, ranking, bidding, pacing, and real-time serving contribute meaningfully to the business.Taking responsibility for quality metrics like CTR, CVR, and ROAS, as well as performance metrics like latency and availability.Leading your team while pushing for cross-functional execution to completion.We are looking for individuals who:Have experience with large-scale search, recommendation, advertising, and AI systems.Possess a deep understanding of architectures related to recommendations, advertising, AI, and search.Can define complex technical problems and connect them to product solutions.Can lead and execute across diverse organizations, even without formal authority.Important notes:We will review your application to find the most suitable position based on your skills and experiences.If you have specific areas of interest, feel free to apply for individual postings listed above.Rest assured, you can apply comfortably as this posting covers all positions without duplication.How to craft your resume:Clearly outline your problem definitions, hypothesis creation, execution, verification, and results for each product, service, or project.Highlight not just your tasks but also the insights and results you achieved through your contributions.Your journey to join Toss:Application submission > Job interview > Cultural fit interview > Reference check > Compensation negotiation > Final acceptance and onboarding.

Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manage associated projects.

About Our TeamJoin the innovative AI Deployment Engineering team at OpenAI, where we are committed to the safe and efficient deployment of cutting-edge Generative AI applications for developers and enterprises. As trusted advisors and thought leaders, we collaborate closely with customers to develop a robust backlog of GenAI use cases tailored to their industries, guiding them through to production with expert technical support. In your role as an AI Deployment Engineer, you will empower major corporations to revolutionize their operations through transformative solutions in customer service, automated content generation, and pioneering applications leveraging our state-of-the-art models.About the PositionWe seek a proactive solutions leader with a product-oriented mindset to partner with our clients, ensuring they derive genuine business value from Generative AI. You will collaborate with senior customer executives to craft a strategic GenAI vision and pinpoint the most impactful applications. Additionally, you will work hand-in-hand with their technical teams to transition from prototype to full-scale production. By adopting a comprehensive approach to their requirements, you will design an enterprise architecture utilizing ChatGPT, the OpenAI API, and other services to maximize value for our customers. This position requires close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams, and reports directly to the Head of Technical Success in the APAC region.This role is based in Seoul, South Korea, with a hybrid work model of three days in the office each week. Relocation assistance is available for new hires.Key Responsibilities:Become deeply integrated with our key platform customers as their technical lead, providing guidance and support to develop innovative applications utilizing our API.Collaborate with senior stakeholders to identify optimal applications of GenAI within their sector and establish a thorough backlog to support their AI initiatives.Actively engage to expedite customer time-to-value by creating hands-on prototypes and delivering strategic insights.Build and nurture relationships with customer leadership and stakeholders to facilitate the successful implementation and scaling of their applications.Contribute to our open-source resources for developers and enterprises.Enhance the Solutions Architect function by sharing knowledge, documenting best practices, and publishing resources in our internal and external repositories.Assess, synthesize, and present high-impact strategies that align with customer goals.

Join us at the forefront of agentic AI, where you'll be part of a team that builds intelligent systems capable of deep understanding. At Sendbird, we are not just developing prototypes; we are deploying AI solutions at scale that genuinely think and adapt.About SendbirdSendbird is committed to shaping the future of AI-driven customer interactions. With over a decade of experience in creating robust infrastructures for chat, voice, video, and messaging APIs, we've established ourselves as the leading CPaaS platform for in-app communications. Trusted by over 4,000 brands and facilitating 7 billion messages monthly, we connect 300 million active users.Our clients include industry leaders like DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our track record speaks for our expertise and excellence.Recognizing the transformative potential of AI in customer communication, we pivoted to an AI-first strategy in December 2024, launching our AI agent for enterprise customer experience by February 2025. Our rebranding to Delight.ai in November 2025 encapsulates our mission: to not just enhance efficiency, but to restore the essence of personalized service—creating delightful experiences for customers.About Delight.aiDelight.ai acts as the AI concierge for customer interactions, ensuring continuity and understanding across various channels. Unlike other AI agents, our solution retains memory, learns individual preferences, and maintains context—delivering a truly personalized experience.Why Join as a Senior Software Engineer, AI Agent?In an industry filled with superficial solutions, Sendbird's AI Agent platform stands out for its robustness, scalability, and genuine intelligence. This is not just maintenance work; you'll shape the core platform, designing orchestration, RAG pipelines, evaluation, and observability that will impact millions of customer interactions for years to come.

# About the Team- Join us in enhancing customer experiences using data and machine learning within the Toss Commerce domain.- Toss consists of multiple domains, each operating as a complete business, including Commerce, Pay, Financial Marketplace, Ads & Benefit, Foundation, and Growth.- The Commerce domain has been the fastest-growing segment of Toss.- Initially launched to activate Toss Pay and expand transaction volumes, Toss Commerce has since introduced Toss Shopping and seller admin services, along with shopping ad services, providing new value to both users and sellers.- Within the Commerce domain, various teams operate like startups, including Shopping Silo, Shopping Platform Team, Shopping Ads Silo, and Commerce Business Team.- As we move into 2024, we plan to lay the groundwork for significant growth by launching diverse features within Commerce.- **Curious about Toss's Data Organization?** [→ *Toss Data Division Wiki*](https://recruit-data-division.oopy.io/)

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

About the RoleThe Solution Architect at FuriosaAI plays a pivotal role in facilitating the deployment of AI applications on FuriosaAI's NPUs, while also optimizing end-to-end inference code utilizing the Furiosa SDK.In this capacity, you will be regarded as a technical expert and trusted advisor, collaborating closely with our business team, customers, partners, and the wider community. Your expertise will be instrumental in addressing and resolving technical challenges faced by our customers using the FuriosaAI solutions.A successful Solution Architect will exhibit a commitment to technical excellence and continuous improvement, both personally and as part of the team, fostering an environment of ongoing learning and innovation.

The Staff UCC Application Engineer will join Coupang’s Unified Communication and Collaboration (UCC) team in Seoul, South Korea. This role centers on the operation and governance of Microsoft 365 and related enterprise applications that support Coupang employees. Role overview This position leads the design and implementation of data governance and retention frameworks within the Microsoft 365 environment. Daily responsibilities include overseeing collaboration platforms and cloud-based services, managing data lifecycle processes such as record management, retention policies, and access controls, and developing scripts and automation to streamline operations. The engineer will also support governance initiatives by working closely with Legal, Security, Compliance, and Business teams, and will apply automation and AI-powered productivity tools to improve reporting, knowledge management, and service utilization. Main responsibilities Design and implement data governance and retention frameworks for Microsoft 365. Oversee daily operations of collaboration platforms and cloud-based services. Manage data lifecycle, including record management, retention, and access control. Develop and maintain automation scripts to improve efficiency. Support governance initiatives in collaboration with Legal, Security, Compliance, and Business teams. Utilize automation and AI productivity tools to enhance reporting and service usage. Requirements Experience ensuring operational reliability and governance for enterprise collaboration platforms, especially Microsoft 365. Strong background in data lifecycle management, retention policies, and automation. Ability to collaborate across Legal, Security, Compliance, and Business functions. Interest in applying AI and automation for continuous improvement and efficiency.

Join us in transforming the way customers experience shopping within the financial services ecosystem.Toss Commerce is dedicated to creating an effortless shopping experience that allows customers to discover and enjoy products with ease.We leverage machine learning for personalized recommendations and advertising, providing both convenience for customers and growth opportunities for sellers through enhanced sales performance and operational efficiency.We aim to connect high-quality products with customers naturally, fostering a growth-oriented environment for customers, sellers, and the platform alike.About the Position:As a Platform Product Owner, you will establish semi-annual goals for your domain and lead efforts to achieve them.You will have the autonomy to make key decisions regarding business direction, revenue, and monetization, setting objectives and strategies through comprehensive discussions with teams and stakeholders.Your role involves designing and managing common systems such as catalogs, pricing, promotions, orders, settlements, and seller tools, ensuring a stable platform for sellers and users to grow rapidly.You will build a foundation that supports the rapid growth of various services while maintaining platform reliability and scalability.Key Responsibilities:Design and operate core platform systems including catalogs, pricing, promotions, and order/settlement processes.Facilitate stable expansion across multiple product teams through common components and data standardization.Ensure scalability and data reliability, minimizing unnecessary costs and operational risks.Lead internal stakeholders in effectively implementing and utilizing the platform.Ideal Candidate:You have experience designing and operating platform products within complex domains.You excel at change management and stakeholder alignment, capable of designing scalable structures while ensuring data reliability and operational quality.You are passionate about creating the foundation for sellers and internal teams to grow together.Additional Information:We are open to considering applicants for roles beyond the Platform Product Owner position.We will review your experiences and strengths to recommend the most suitable position for you.If you have specific areas of interest, you can also apply through individual postings listed above.Feel free to apply through this listing as it covers all positions without duplication.Resume Tips:Clearly outline your experiences using frameworks such as problem definition → hypothesis development → execution and validation → results, or problem definition → solution derivation → collaboration with stakeholders → final outcomes.It is beneficial to include your insights and the impact of your contributions rather than simply listing responsibilities.

Key ResponsibilitiesManage and operate the testing infrastructure for our software and hardware solutions.Conduct operations and maintenance on bare-metal equipment utilized for evaluations.Support the evaluation infrastructure to ensure successful product validation.

Key ResponsibilitiesDevise and execute comprehensive verification strategies for block/IP/SoC, establishing test benches to facilitate effective verification at various levels.Create and implement functional testing protocols based on the established verification test plans.Lead the design verification process to successful completion, adhering to defined metrics for functional and code coverage.Analyze, troubleshoot, and rectify functional discrepancies in the design, working closely with the design team.Engage in collaboration with cross-disciplinary teams, including Design, Modeling, Emulation, and Silicon Validation, to ensure superior design quality.

Position Overview: As the Director of Business Development for AI Solutions within the DataForce team, you will be instrumental in forging new business partnerships and serving as a strategic partner for our clients. DataForce is a dynamic and expanding sector dedicated to providing superior data for Human-Machine Interaction, catering to some of the world's foremost technology firms. Our focus is on the collection, enrichment, and processing of training data for Machine Learning across various AI domains.As part of the TransPerfect family, the largest global provider of language and technology solutions, you will be joining a prestigious team with a presence in over 100 cities worldwide, while this role is specifically located in Seoul.Key Responsibilities:• Identify and research potential clients within target markets to understand their business and technical needs.• Qualify and evaluate business opportunities.• Lead opportunities from initial contact to successful closure.• Ensure client satisfaction and success.• Develop and execute effective business plans.• Gain expertise in our products and industry trends.• Maintain records of business opportunities using TransPerfect’s CRM system.• Collaborate with production and technology teams across various time zones and cultures.• Generate and manage high-value, profitable business transactions.• Monitor and report on KPIs, providing updates on account health and opportunities.• Participate in trade shows and marketing efforts through case studies and social media involvement.• Provide weekly forecasts and daily updates on progress.• Assist in financial planning and ensure the profitability of client engagements.• Manage stakeholder communications regarding business accounts.• Support training and adoption of technologies for both internal and client teams.• Propose and implement innovative strategies to enhance business growth.

At Coupang, we are dedicated to delivering an extraordinary experience to our customers, who often ask, “How did we ever live without Coupang?” Our passion for making shopping, dining, and daily living easier has driven us to disrupt the multi-billion-dollar e-commerce industry from its roots. As one of the fastest-growing e-commerce platforms, we have earned a reputation as a dominant and dependable player in South Korea's commerce landscape. We pride ourselves on merging the agility of a startup culture with the robust resources of a large global public company. This unique blend empowers us to accelerate our growth and introduce innovative services at an unprecedented pace. Our team is filled with entrepreneurial spirits, constantly exploring new initiatives and innovations. At Coupang, you will witness your personal growth alongside that of your colleagues, your team, and the company. Our mission is to shape the future of commerce, pushing the limits of what is possible to tackle challenges and redefine traditional trade-offs. Join Coupang today to craft an unparalleled experience in this always-on, high-tech, and hyper-connected world. Role Overview: As a pivotal member of the Growth Engineering team, your primary objective will be to enhance the number of transacting customers while simultaneously increasing their purchase frequency and lifetime value. You will develop and refine core platforms and services that drive Coupang's growth and marketing efficiency. Our portfolio includes various platforms such as the Search Advertising Platform, Affiliate Platform, Display Targeting & Re-targeting Platform, CRM, Audience Platform, and Push Marketing Platform, among others. Opportunities for machine learning span areas like targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, and fraud detection. In your role as a Staff Engineer, you will lead the architecture and development of a next-generation CRM platform, ensuring it provides comprehensive campaign management, from planning and target customer selection to promotion optimization and performance measurement. You will design a real-time decision engine to empower downstream services across the Growth Engineering ecosystem. Your technical expertise will play a crucial role in enhancing Coupang’s data-driven capabilities, aligning innovation with our strategic business goals.

About Us:At Notion, we empower teams to create stunning tools that enhance productivity and collaboration. In an era overflowing with applications and distractions, Notion stands out as a unified platform where teams can effortlessly manage documents, notes, projects, calendars, and emails—all enriched with AI capabilities that streamline workflows and automate tasks. Trusted by millions, from individual users to industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its unparalleled flexibility, enabling users to save both time and resources.Collaboration is at the heart of our culture. We value in-person interactions, requiring all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain roles may necessitate additional in-office days.About the Role:As a pivotal member of the Solutions Engineering team, you will play a crucial role in our sales organization, focusing on Product-Led Growth. Many customers discover Notion through our self-service platform, and as we expand, prospects are increasingly interested in how Notion can seamlessly integrate into their existing technology ecosystems. You will:Collaborate with sales representatives to engage with both prospective and existing clientsAddress complex product inquiries, RFPs, and security questionnaires with precision and efficiencyDeliver insightful technical support throughout the sales journey, ensuring customers are equipped to successfully adopt and integrate NotionDemonstrate tailored solutions using Notion, leveraging a deep understanding of how our platform can support diverse customer workflows and integrationsGather and structure product feedback to assist our Product and Engineering teams in refining Notion to better meet customer needsPartner with marketing to enhance our technical messaging, including the creation of blog posts, webinars, and customer-facing materialsEducate the sales team on product features, upcoming releases, competitive landscape, and relevant information regarding customer environments and third-party applicationsDocument technical insights and contribute to internal knowledge repositories for the benefit of teams, customers, and partnersWhat You'll Achieve:... (Further details on achievements)

회사 소개쿠팡은 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 지키며, 신규 서비스를 끊임없이 출시하고 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.