About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

About you 

[Minimum Qualifications]

• 2~4 years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
• Proficient in one or more of the following languages, Python is preferred.
• Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
• Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines.
• Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies.
• Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation.
• Highly proficient in AI-assisted development workflows, with hands-on experience leveraging tools such as Cursor, Claude Code, Gemini, or equivalent in day-to-day engineering.
• Solid understanding of agentic coding paradigms, including building or working within multi-step, tool-augmented AI development pipelines.
• Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.

[Preferred Qualifications]

• BS/MS degree in Computer Science or a related field.
• Demonstrated ability to develop complex business features with PM, QA, and front-end engineers.
• Experienced in promoting backend architecture upgrades or improving development processes.
• Exposure to context engineering or AI harness engineering, including designing prompt pipelines, managing LLM context windows, or building structured AI orchestration layers.
• Experienced in building SDKs and applications for iOS or Android.

#LI-AK1

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the Role

We are looking for a Senior Machine Learning Scientist to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will be responsible for end-to-end development, from problem definition to driving model deployment into production.

What You’ll Work On

• Work on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization
• Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage
• Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability
• Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment
• Stay up to date with the latest research and proactively propose innovative applications

What We’re Looking For (Minimum)

• Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields.
• 3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation.
• Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow.
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot.

What We’re Looking For (Preferred)

• Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development.
• Experience in cross-functional collaboration and leading industry projects.
• Industry experience in MarTech and passion for building customer-centric products.

#LI-AK1

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Machine Learning Scientist Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.

We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

Responsibilities

• Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
• Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
• Stay up to date with the latest research and proactively propose innovative applications.

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
• 2+ years of experience in ML or LLM.
• Proficient in Python.
• Proficient in one of the below
  1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
  2.LLM applications development techniques: RAG, agent, chatbots.
• Able to evaluate models with systematic and quantitative analysis.
• Strong data intuition and familiarity with basic statistical concepts.

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.

#LI-AK1

【About the role】

We are seeking a Data Analyst Intern in Taiwan that will be part of a product R&D team. The role will perform data analysis to help Appier teams to answer business or operational questions.

We are seeking potential candidates who can commit to 2-3 days a week and participate in the internship for a minimum of 6 months, starting immediately. Please ensure that you have checked your availability before applying.

【Responsibilities】

• Interpret trends or patterns from complex data sets by using statistical and visualization tools.
• Conduct data analysis reports to illustrate the results and insight
• Working with scientists and engineers to monitor and diagnose the system
• Develop tools and systems that optimize analysis process efficiency and report quality.

【About you】

[Minimum qualifications]

• Senior students in college or graduate students in related field
• Good analytical skills to extract meaningful insights from the data.
• Good ability to communicate data analysis insight to audiences with different backgrounds.
• Proficient oral and written communication skills in English.
• Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.
• Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.
• Programming skill: can write Python scripts for simple job automation.

 [Preferred qualifications]

• Working experiences in digital advertising industries.
• Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau).
• Advanced Python programming: e.g. able to do complex analysis using Python.
• Experience in writing Spark programs for data analysis.

The Role

As a Solutions Engineer at Rhombus Power, you are a hands-on software generalist embedded directly with our national security partners. Much like the pioneering Forward Deployed roles in our industry, you will be the technical expert at the intersection of world-changing problems and impactful AI technology. You will rapidly understand our customers' toughest operational challenges and architect, build, and deploy custom solutions that leverage the Rhombus Power platform. This role is a mix of development and customer support, requiring you to be comfortable writing code (DevOps, frontend, and backend) while acting as the primary technical consultant.

Responsibilities

• Work side-by-side with intelligence partners to deeply understand their missions, data workflows, and requirements for predictive insights.
• Design, develop, and deploy tailored software solutions and applications utilizing the Rhombus Power AI platform.
• Be a true software generalist, writing, testing, and maintaining production-grade code across the full stack—including cloud/DevOps configuration, backend data services, and interactive frontend user interfaces.
• Provide technical consultation to partners, guiding them on the best use of our products to achieve their strategic business and mission goals.
• Serve as the technical liaison, ensuring seamless communication between customer teams and Rhombus Power's core product engineering teams to influence product direction.
• Troubleshoot complex issues in live operational environments, providing expert technical support and guidance to maintain mission continuity.
• Travel to customer sites for deployment, integration, and operational support.

Qualifications

• 2–3 years of professional experience in a relevant technical role (e.g., Software Engineering, Technical Consulting, or Data Engineering).
• Demonstrated experience as a software generalist, capable of contributing across the technology stack (DevOps, frontend, and backend).
• Proven experience in a customer-facing capacity, including requirement gathering, solution presentations, or technical support.
• Proficiency in at least one modern programming language (e.g., Python, JavaScript, Go).
• Experience with Linux/Unix systems and system administration a plus
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

The Position

We are looking for an Associate Support Engineer to join our OPSWAT Level 1 technical support team and assist customers in troubleshooting and resolving technical issues efficiently. This role involves managing support tickets, providing real-time assistance, and contributing to knowledge base documentation to improve customer experience. 

If you have a passion for technology, problem-solving, and customer interaction, this is a great opportunity to grow your career in a dynamic and collaborative environment. 

The position will be based in Taipei, Taiwan.

Key Responsibilities 

• Customer Issue Management 

  • Monitor and manage the queue of open support tickets, ensuring timely resolution. 

  • Track customer status, support level, and previous interactions to provide effective assistance. 

  • Investigate and diagnose reported technical issues by gathering relevant information and attempting to replicate the problem. 

  • Leverage internal knowledge management systems (FAQs, troubleshooting guides, previous tickets, product documentation, internal wikis) to identify solutions before escalating cases.  

  • Escalate complex or unresolved issues to senior engineers or product teams, ensuring detailed documentation of troubleshooting steps taken.

  • Maintain clear and professional communication with customers throughout the support process via email, chat, and phone. 

  • Track customer satisfaction and proactively follow up on outstanding cases to ensure resolution. 

• Technical Assistance & Troubleshooting 

  • Assist customers with installation, configuration, and integration of company products. 

  • Guide customers through technical solutions and best practices. 

  • Work closely with internal teams (Product Development, Engineering, QA) to address technical challenges. 

• Documentation & Reporting 

  • Maintain detailed records of customer interactions and resolutions in the ticketing system. 

  • Create and update knowledge base articles, FAQs, and troubleshooting guides. 

  • Ensure accurate categorization and tagging of tickets for efficient tracking and reporting. 

• Continuous Learning & Improvement 

  • Stay up to date with product updates, new features, and industry trends. 

  • Participate in internal training sessions and gain certifications in relevant technologies. 

  • Collaborate with the team to identify areas for process improvement in technical support operations. 

What We Need from You 

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). 

• 1-2 years of experience in technical support, helpdesk, or IT service role. 

• Familiarity with ticketing systems (e.g., Jira, Service Cloud, Zendesk, ServiceNow). 

• Strong problem-solving abilities and attention to detail. 

• Excellent English and Mandarin communication skills (written and verbal). 

• Hands-on experience with Windows and Linux environments.  

• Familiarity with networking concepts (TCP/IP, DNS, firewalls, etc.). 

• Ability to learn quickly and work collaboratively in a team environment. 

Nice to Have (Preferred Qualifications) 

• Basic understanding of cloud computing (AWS, Azure, Google Cloud). 

• Knowledge of cybersecurity concepts and security products. 

• Basic understanding of Docker, Kubernetes, or containerized environments. 

• Scripting or automation skills (Python, Bash, or PowerShell). 

What We Offer 

• Competitive salary and benefits package. 

• Opportunities for career growth and skill development. 

• Exposure to cutting-edge technologies and industry-leading products. 

• Collaborative and dynamic work environment. 

Description

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At Coupang, every day is filled with the excitement of building, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

Position: Manager II, Product Data Analytics - CX

As a product analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.

What You Will Do:

• Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.

• Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.

• Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.

• Expert thought leadership as an ecommerce and fulfillment service analyst.

Qualifications :

• Experiencing working in Fraud domain is a plus

• Expert SQL knowledge, with 7+ years’ work experience in data analytics

• Experience in providing clear and actionable plans by analyzing data and insights

• Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment

• Great ability to think critically and solve nonstructural problems

• Strong communication skills to share analysis results clearly and concisely

• Experience with big data tools like Hadoop, Spark, and Presto

• Experience with BI tools like Power BI or Tableau

• Bachelor’s degree in statistics or computer engineering or equivalent experience

Preferences : 

• Experience with Python and R/SAS, or other statistical packages

• Experience in working with version control (Git, SVN, etc.)  

• Well diverse in or comfortable with learning new modern data tools 

• Master’s degree in statistics or engineering or equivalent experience

• Experience analyzing e-commerce and customer behavior logs

• Strong English skill (both verbal and written) is a plus

Description

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At Coupang, every day is filled with the excitement of building, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

Position: Manager II, Product Data Analytics - CX

As a product analyst, you will be responsible for providing reports and insights that aid in management to ensure top-notch customer experience. By collecting the tens of billions of data points that are created as millions of customers use Coupang’s services, Product Analytics creates meaningful insights, seeks answers to complex business questions, and enables a better understanding of customer behavior.

What You Will Do:

• Create and provide new customer experience metrics and insights to ensure the best shopping experience for our customers.

• Collaborate with product managers, designers, program managers, engineers, and other stakeholders to make data-driven decisions.

• Create and manage weekly/monthly/quarterly business reports and work together with other teams to capture quality insights and present them to our stakeholders and leadership.

• Expert thought leadership as an ecommerce and fulfillment service analyst.

Qualifications :

• Experiencing working in Fraud domain is a plus

• Expert SQL knowledge, with 7+ years’ work experience in data analytics

• Experience in providing clear and actionable plans by analyzing data and insights

• Ability to take work into your own hands with a sense of responsibility and exercise judgment to act in fast-paced and dynamic environment

• Great ability to think critically and solve nonstructural problems

• Strong communication skills to share analysis results clearly and concisely

• Experience with big data tools like Hadoop, Spark, and Presto

• Experience with BI tools like Power BI or Tableau

• Bachelor’s degree in statistics or computer engineering or equivalent experience

Preferences : 

• Experience with Python and R/SAS, or other statistical packages

• Experience in working with version control (Git, SVN, etc.)  

• Well diverse in or comfortable with learning new modern data tools 

• Master’s degree in statistics or engineering or equivalent experience

• Experience analyzing e-commerce and customer behavior logs

• Strong English skill (both verbal and written) is a plus

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role

MSA is a highly multi-disciplinary group started in 2019 to tackle difficult mail delivery, spam, abuse, and account security problems that impact the Proton ecosystem. We built sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of realtime or asynchronous decisions each day. Our custom systems have reduced spam filter misclassifications by over 60%, blocked millions of abusive bulk signups, protected hundreds of thousands of users from account compromise by attackers, and mitigated hundreds of DDoS attacks. In the last few years, we have also been building complicated new products, including launching Wallet, Lumo AI, and Meet. We are the main group at Proton working on AI. In order to move fast with limited resources, we are organized into autonomous teams responsible for the whole system, with expertise across infrastructure, data storage, backend, web and mobile apps, machine learning, security and operational excellence. We are looking for humble, mission-driven, systems-thinking people who want to make a big impact in a startup environment.

What you will do

MSA builds and operates many services responsible for different domains. You will:

• work with other engineers and analysts to design, build, and operate these systems
• work on special user-facing features involving frontend and backend software development
• You will have the opportunity to play Product or Project Managers roles and lead the whole planning and development process
• be responsible for the operational excellence of the systems/features and their interaction with other systems
• You may work on MSA's custom systems written in Python or on the main Proton API written in PHP or on Proton Web apps written in React or even on native iOS and Android mobile apps

Job requirements

• Deep experience with backend development (Python, PHP, or Go)
• Experience with frontend design and development (JavaScript, React, Typescript, or jQuery)
• Experience building complex production systems
• Experience with data processing and storage (MySQL, MongoDB, Redis, Kafka, Elastic, Ceph, ClickHouse)
• Able to work autonomously and lead the whole development process, from design to QA
• Experience with AI tools and AI agents
• Excellent English communications, both written and spoken

Bonus points for: 

• experience with machine learning and real-time prediction systems
• experience with iOS or Android app development
• experience with managing Linux servers, including infrastructure as code (Puppet, Ansible) and containerization

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

• Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas
• Good academic record
• Familiar with modeling, data structures, algorithms and optimizations
• Strong knowledge of machine/deep learning algorithms
• Proficient in programming languages of both C++ and Python
• Possess good communication and presentation skills in English
• Ability to work independently and as member of a team
• Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Detail oriented and capable of multitasking and delivering in fast-paced work environment

• While not mandatory, a strong interest in financial markets will definitely be beneficial
• Participant of ACM-ICPC

• Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering or equivalent
• High GPA and academic grades
• Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Programming skills – C++ and Python predominantly, but newer skills welcomed too
• Strong interest in learning about worldwide financial markets
• Strong communication skills in English – including both written and verbal

• While not required, a strong interest in financial markets will definitely be beneficial. Prior experience in quant research will count as a big plus
• Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing on Quant Macro signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets, specialized in futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering, Financial Engineering that is highly analytical or equivalent
• Expertise in the typical quantitative research toolkit: data processing, modeling, and visualization in python, R, or C++
• Experience with futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices–is not required, but is a significant plus.
• High GPA and academic grades
• Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Strong interest in learning about worldwide financial markets
• Strong communication skills in English

• Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Position : Senior Financial Planning & Analyst (Capex Finance)

What will you do?

• Own and manage the capital expenditure budget, ensuring alignment with financial capacity and strategic goals
• Monitor and control project costs, recommending solutions to avoid cost overruns
• Evaluate investment opportunities using financial metrics such as NPV, IRR, and payback period
• Conduct cost-benefit and sensitivity analyses to support decision-making
• Support the annual Capex investment planning process across business units
• Assist in month-end and year-end closing activities, including PO and accrual reviews
• Present analysis and recommendations to senior management in a clear, impactful manner
• Collaborate with Project Managers, HQ FP&A, and fulfillment center finance teams to deliver timely and accurate reporting
• Present and explain financial analysis, recommendations, and complex financial concepts in a clear and understandable manner
• Contribute to quarterly investment reviews and help shape Capex strategy

Basic Qualifications

• Minimum of 5+ years of experience in analytical and forecasting functions with a focus on Capex and depreciation.
• Proficiency in advanced Excel
• Experience working with large datasets and automating reports (SQL, Python a plus)
• Effective communication skills to present analysis to stakeholders
• Working proficiency in both English and Mandarin
• Proven ability to manage multiple priorities in a cross-functional environment
• Strong ownership mindset, attention to detail, and drive for continuous improvement
• Solid financial modeling skills

Preferred Qualifications

• Fluent in English reading and writing, with intermediate or higher speaking skills
• Experience using SAP (FI/CO)
• Experience working in a matrix organization or global environment
• Accounting-related certifications
• Experience using SQL or Python

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  https://www.coupang.jobs/privacy-policy/​

人人均等的機會

Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Position : Senior Financial Planning & Analyst (Capex Finance)

What will you do?

• Own and manage the capital expenditure budget, ensuring alignment with financial capacity and strategic goals
• Monitor and control project costs, recommending solutions to avoid cost overruns
• Evaluate investment opportunities using financial metrics such as NPV, IRR, and payback period
• Conduct cost-benefit and sensitivity analyses to support decision-making
• Support the annual Capex investment planning process across business units
• Assist in month-end and year-end closing activities, including PO and accrual reviews
• Present analysis and recommendations to senior management in a clear, impactful manner
• Collaborate with Project Managers, HQ FP&A, and fulfillment center finance teams to deliver timely and accurate reporting
• Present and explain financial analysis, recommendations, and complex financial concepts in a clear and understandable manner
• Contribute to quarterly investment reviews and help shape Capex strategy

Basic Qualifications

• Minimum of 5+ years of experience in analytical and forecasting functions with a focus on Capex and depreciation.
• Proficiency in advanced Excel
• Experience working with large datasets and automating reports (SQL, Python a plus)
• Effective communication skills to present analysis to stakeholders
• Working proficiency in both English and Mandarin
• Proven ability to manage multiple priorities in a cross-functional environment
• Strong ownership mindset, attention to detail, and drive for continuous improvement
• Solid financial modeling skills

Preferred Qualifications

• Fluent in English reading and writing, with intermediate or higher speaking skills
• Experience using SAP (FI/CO)
• Experience working in a matrix organization or global environment
• Accounting-related certifications
• Experience using SQL or Python

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  https://www.coupang.jobs/privacy-policy/​

人人均等的機會

Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功

Overview

Join our team as a pivotal technical representative in the APAC region, ensuring effective communication between firmware, software, and hardware teams. Your expertise in Qualcomm cellular chipsets will be crucial for managing vendor relationships and spearheading advancements in RF and antenna technology. This role will enable our innovative solutions in the market while enhancing team collaboration and integration processes.

Responsibilities

• Act as the on-ground representative for hardware and firmware teams, facilitating cross-functional communication between RF, Antenna, Validation, and software teams such as BSP and connectivity software.
• Manage triage and resolution of technical issues with vendors like Qualcomm, leveraging deep knowledge of their cellular chipsets.
• Lead RF bringup and customization, including driver and RF configuration tweaks, using tools such as QSPR, QDART, QRCT, and QxDM.
• Support operations within Contract Manufacturer (CM) factories or lab environments, ensuring efficient production and adherence to quality assurance standards.

Minimum Qualifications

• Expertise in Qualcomm cellular chipsets and ecosystems, with comprehensive knowledge of ENDC/CA configurations and solutions.
• Hands-on experience with Qualcomm RF bringup in cellular settings, proficient in using tools like QxDM and QRCT for device analysis and testing.
• Strong familiarity with RF and driver customizations in the Qualcomm environment, demonstrating practical use of QSPR and QDART tools.
• Excellent communication skills, with the capability to clearly present technical findings and collaborate with multiple teams both locally and internationally.
• Flexibility to support operations in CM factory or lab settings, demonstrating adaptability to varied environments.
• Proficiency in programming languages such as Python, C, or C++ to aid in software integration and tool customization efforts.
• Experience with RF bringup processes, factory procedures

Preferred Qualifications

• Proficiency in scripting and tooling for factory, on-device, or PC applications to enhance automation and increase efficiency.
• Familiarity with Qualcomm antenna tuners and exposure to SAR, smart transmit, or coexistence features, providing added value to the RF development team.

As an Astera Labs Principal Field Applications Engineer, you will support the world’s leading cloud service providers, server and network OEMs by working with them to design solutions that use Astera Labs’ portfolio of connectivity products. In this role, you will need to identify and understand customer requirements, propose Astera Labs solutions that provide clear value to the customer and provide hands-on design-in support. You will drive innovation by listening to the customer requirements, working with our engineering teams to implement into the product roadmap and delivering the results back to the customer.

 Basic qualifications:

• BS in electrical engineering. Master’s degree in engineering is preferred.
• Minimum of 8 years’ experience working with Cloud service providers and server OEM customers to design in complex SoC/silicon products for Server, Storage, and/or Networking applications. 
• Customer-oriented, Goal-driven, Self-motivated, be able to work independently and be able to travel frequently to customer sites
• Fluent in Mandarin and English
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!

Required experience:

• Hands-on, thorough knowledge of high-speed protocols like PCIe & Ethernet
• Silicon/System bring-up and debug experience in customer systems.
• Experience with lab equipment including protocol analyzers and oscilloscopes.
• A strong background in high-speed board design techniques, and understanding of Data Center systems like Servers, JBOGs/JBODs, Networking switches/routers etc.
• Intermediate level of proficiency in Python for automating system validation and link optimization.
• Able to step through embedded firmware at the SerDes (SoC) or MCU level for debugging.
• Firsthand experience with lab equipment including traffic generators, analyzers, and high-speed oscilloscopes.
• Business travel to Asia and the North America region may be required as needed.

Preferred experience:

• Strong working knowledge of a high speed interface at a physical layer level, associated standards, and debug. Most recent experience with 12G NRZ signaling at a minimum, some experience with 25G NRZ/56G PAM4 preferred.
• Development, support, and experience with PCIe ICs.
• Experience in embedded SW debug or development with firmware, drivers, and BIOS using PCIe technology.

Job Description

We are looking for Lead ATE Test Engineers with proven experience in developing and supporting complex mixed-signal silicon SoC products to lead ATE Test solutions. The ideal candidate will develop and oversee SoC test strategy, interact with manufacturing partners, define, and implement ATE programs and own the product from design, initial samples all the way through high volume production ramp. The candidate should have working knowledge of communication/interface protocols such as PCI-Express (Gen-4/5/6), Ethernet, DDR, NVMe, USB, etc.

Basic Qualifications

· Strong academic and technical background in electrical engineering. At minimum, a Bachelor’s in EE is required, and a Master’s is preferred.

· ≥5-year experience releasing complex SoC/silicon products to high volume manufacturing.

· Working knowledge of high-speed protocols like PCIe, Ethernet, DDR, NVMe, USB, etc.

· Professional attitude with ability to execute on multiple tasks with minimal supervision.

· Strong team player with good communication skills to work alongside a team of high caliber engineers and different OSAT’s.

Required Experience

· Hands-on experience with high-speed mixed signal SoC test program/hardware development on multiple high-speed test platforms.

· Collaboration with design team to define test strategy, create and own test plan.

· Familiar with high-speed load board design techniques.

· Proven track record of implementing ATE patterns to optimize tester resources and minimize ATE test time while maintaining product quality.

· Strong knowledge and development of DFT techniques implemented in silicon that provide maximum defect and parametric device coverage – SCAN, MEMBIST, SerDes and other functional tests.

· Skilled in control interfaces – I2C, I3C, SPI, MDIO, JTAG etc.

· Expertise in production test of high speed SerDes operating at 16Gbps and higher.

· Skilled in ATE programming, silicon/ATE bring-up, bench-ATE correlation and debug.

· Experience in bringing up test programs at OSATs.

· Experience with using Advantest 93k ATE platform.

· Proficiency in, at least, one modern programming language such as C/C++, Python.

Preferred Experience

· Fluent in data processing using high level programming languages.

· Familiarity with modern databases

Job Description:

As an Astera Labs HVM Product and Test Engineering, you will support existing products already in HVM (high volume manufacturing) at our Asia OSAT partners. Maintaining smooth manufacturing to ensure on-time customer shipments is one key objective. In this role, you will complement the New Product Introduction Product Engineers as products are released into production and own the engineering manufacturing during mass production. The ideal candidate possesses breadth of industry experience in high-speed product development in the field of product and/or test engineering, can apply fundamentals in circuit, ATE, and test program to aid problem solving, and is a self-driven, result focused go-getter in the pursuit of goals and objectives.

Basic qualifications:

· Minimum of 5 years of experience in the field of post silicon product development dealing with high-speed XCVR (product, test or validation)

· Experience in working with PCIe Gen3 and above

· Have gone through at least one cycle of full product development life cycle

· Strong academic/technical background in electrical or computer engineering; Bachelor’s is required; MS preferred

· Strong problem-solving skills that involve system level analysis with test hardware, test program and DUT.

· Digital and analog circuit level understanding for DUT.

· Excellent team player with great communication skills

· Professional attitude with the ability to prioritize a dynamic list of multiple tasks

Required experience:

· Proven track record continuing seamless production of semiconductor products partnering with OSATs supporting high volume manufacturing through the complete product lifecycle

· Hands on experience with using the Advantest 93k ATE platform with specific skills updating ATE test programs for wafer sort and final test solutions

· Hands-on knowledge of NRZ/PAM4 SerDes protocols like PCIe (Gen3 and above), Ethernet (25G and above), etc. and/or memory interfaces such as (LP)DDR5/4.

· Detailed mindset monitoring device ATE test yields, ATE test time, device quality and rolling out new ATE test programs using consistent BKMs

· Strong data analysis skills using tools such as JMP or Spotfire calculating limits and drawing conclusions

· Energetic work mindset meeting the demands of shipping quality parts to Astera Labs’ customers through the manufacturing stage of development

Preferred experience:

· Working with silicon validation teams to ensure device performance meets production requirements.

· Firmware development in C/C++, scripting in Python, or other equivalent programming experience.

· Hands on experience in product/package qualification

Job Description: 

As an Astera Labs Principal Product Application Engineer, you will need to provide technical guidance to ODMs to overcome design challenges, generate collateral for existing and new products, and drive innovation by providing insightful feedback to other internal teams to continuously improve products and processes. We need experience supporting the development and designing-in of semiconductor products for PCIe/CXL. There are opportunities to support key ODMs directly, and also to dive deep in the lab to address the challenges associated with leading edge semiconductor products. 

Basic Qualifications 

• Strong academic and technical background in electrical engineering. At minimum, a Bachelor’s in EE is required, Master’s is preferred. 
• Minimum of 10 years’ experience designing in complex SoC/silicon products with a high speed (preferably PCIe) interface. 
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act with the customer in mind!  

Required Experience 

• Strong working knowledge of PCIe LTSSM at a physical layer level, associated standards, and debug. Most recent experience with PCIe 4.0 at a minimum, some experience with 5.0/CXL preferred. 
• Silicon/System bring-up and debug experience in customer systems.  
• Technical ownership of issue resolution: Driving and directing internal teams, and driving communication to customers through FAE and sales teams. 
• Firsthand experience with lab equipment such as protocol analyzers/exercisers, high-speed oscilloscopes, or BERTs.  
• Technical writing skills to generate clear, precise documentation including application notes and similar guides for internal and customer-facing audiences. 
• Global customer engagement support, with travel as required for on-site activities, reviews, and system bring-up.

Preferred experience 

• Triaging complex customer reported issues which require taking into account multiple layers of conditions; for instance, silicon, firmware, hardware board design, and system environment. 
• Development/support for PCIe or Ethernet Switch or Retimer products. 
• PCIe compliance testing methodology and troubleshooting. 
• Comfort working with software/firmware associated with semiconductor products, such as; Firmware development with C-language, scripting with Python or other equivalent programming languages. 
• Understanding of Data Center systems like Servers, JBOGs/JBODs, Networking switches/routers/interconnects etc. 

Realize your potential by joining the leading performance-driven advertising company!

As a Algorithm Engineer on the R&D Team in our Taipei office, you’ll play a vital role in developing cutting-edge machine learning models that power personalized content recommendations for over 1 billion users worldwide. You’ll research, build, and deploy AI-driven solutions that enhance user engagement and drive business growth.

To thrive in this role, you'll need:

• Master’s degree in CS/CE, EE, Physics, Applied Mathematics, or a related field (Ph.D. is a plus).

• 1+ year of full-time work experience (or 3+ months internship for fresh graduates) in data science.

• 3+ years of programming experience in Python, Java, or Scala.

• Hands-on experience with machine learning frameworks like PyTorch or TensorFlow.

• Strong SQL and database skills for data extraction and analysis.

Bonus points if you have:

• Experience in content understanding or behavioral prediction models.

• Knowledge of optimization algorithms for business applications.

How you’ll make an impact:

As a Algorithm Engineer, you’ll bring value by:

• Researching and proposing data-driven solutions for personalization and targeting.

• Building and deploying machine learning models to enhance content recommendations.

• Developing optimization algorithms to meet key business objectives.

• Creating and maintaining data pipelines for ML model training and evaluation.

• Collaborating with product and engineering teams to productionize AI solutions.

• Presenting insights and model performance to stakeholders in a clear, actionable way.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart, talented peers. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO, says: “You can copy anything from another business, but you can’t copy a company’s culture.”

• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.

• Flexibility: Hybrid work model with 3 days in-office and the option to come in more often if desired.

• Work with the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. Employment is based on qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

At Optiver, we continuously refine how we price, execute, and manage risk. The discipline and rigour we apply to these problems form a key part of our competitive edge. As we expand and strengthen our presence in Asian markets, we are looking for an experienced Options Trader to join our Taiwan-focused trading team.
You will play a key role in trading Taiwan index and equity options (e.g. TXO), working in a highly collaborative environment with access to best-in-class systems, deep liquidity, and a progressive risk appetite. Alongside trading, you will contribute to improving our strategies, execution quality, and system robustness in a fast-paced, automated trading environment.

What you’ll do:

• Actively trade Taiwan index and equity options, managing positions and risk in real time
• Analyse market flows, volatility dynamics, and microstructure to identify and capture trading opportunities
• Continuously refine pricing, execution, and risk management approaches to improve trading performance
• Conduct post-trade analysis to evaluate decisions, optimise strategies, and drive systematic improvements
• Contribute to the development of tools, monitoring, and processes that enhance trading stability and scalability
• Maintain clear and timely communication with internal stakeholders including but not limited to researcher, risks and developers during live trading and high-pressure situations

Who you are:

• Proven experience as an Equity or Index Options Trader, with exposure to Taiwan markets (e.g. TXO) or similar equity derivatives
• Strong track record of trading performance and disciplined risk management
• Deep understanding of options theory, volatility, and market microstructure
• Comfortable trading both systematically and with discretion when required
• Decisive under pressure, with the ability to quickly diagnose and act on trading problems
• Highly analytical, detail-oriented, and proactive in identifying improvements
• Strong communicator who thrives in a collaborative, team-based environment
• Passionate about markets, with a continuous drive to learn and improve

Desirable:

• Experience working with or alongside automated/high-frequency trading systems
• Familiarity with exchange rules, market structure, and participant behaviour in Taiwan markets
• Coding skills (Python, R, or similar) and ability to analyse large datasets
• Exposure to multiple asset classes beyond equities

What you'll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
• The chance to work alongside diverse and intelligent peers in a rewarding environment.
• Training, mentorship and personal development opportunities.
• Daily breakfast, lunch and snacks.
• Gym subsidy and weekly in-house chair massages.
• Regular social events, including a company trip every two years.

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

As our Quantitative Trading Intern, you’ll spend your summer or winter break tackling complex, quantitative problems at one of the world’s leading tech-driven trading firms. Under the guidance and mentorship of industry experts, you’ll apply your strong reasoning skills to design, develop and enhance our innovative trading strategies, fully immersing in the world of market making.  

From derivative theory training to hands-on trading experience, you’ll have deepened your understanding of the quantitative trading industry by the end of the 8-week internship. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Graduate Quantitative Trader.

Note: Part of the internship program will be run out of our Sydney office. Optiver will cover your travel and accommodation costs for the duration of the program.

What you’ll do

Requiring a pragmatic mindset, logical problem-solving skills and mathematical precision, our internship is as close as you can get to a real trading experience. Led by our dedicated in-house education team that consists of ex-traders and engineers, our Quantitative Trading Internship offers you the opportunity to:

• Complete our curated series of lectures and coursework on trading fundamentals, covering topics such as options pricing, financial markets, trading strategies and cutting-edge technology.
• Apply your recently acquired knowledge in a simulated trading environment, trading options using live market data for a realistic hands-on experience.
• Analyse real historical data to develop your own algorithmic trading strategy and backtest to see how it performed.
• Learn directly from our team of full-time educators and current traders, gaining exposure to our various trading desks and experience the financial markets first-hand.
• Test your potential and accelerate your growth in a fascinating and high-performing environment.

Read Brent’s story to discover what it’s like to join Optiver as a quantitative trading intern.

What you’ll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.

In addition, you’ll receive:

• A highly competitive remuneration package, including an attractive bonus structure and additional leave entitlements.
• Optiver-covered flights and accommodations for the duration of the internship
• Training, mentorship and personal development opportunities
• Daily breakfast, lunch and in-house barista
• Regular social events

Who you are

• Penultimate or pre-penultimate university student, graduating in 2026 or later
• A Taiwan Citizen, Taiwan Permanent Resident, or has a preference to work in Taiwan long term post-graduation
• Lateral thinker, with a passion for quantitative problems and working in collaborative, dynamic environments.
• Holds superior quantitative and logical reasoning skills.
• Interested in strategic games and/or competitive activities.
• Experienced in programming or scripting in Python a plus.
• May have an interest in trading or financial markets.

Diversity statement 

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via taiwancareers@optiver.com.au.  

We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins. 

WHAT YOU'LL DO:

As a Trade Supervisor, you will play a critical role in maintaining the stability, integrity, and performance of Optiver’s automated trading systems. Acting as the first responder to trading incidents, you will take ownership of issues from detection through to resolution, while ensuring clear communication with relevant stakeholders and implementing preventative measures. Having a decisive nature and problem-solving mindset are essential to succeeding in this role.
You will be supporting multiple automated trading strategies and have the following responsibilities:

• Supervise and monitor our automated trading systems
• Assess live trading activity for risk, compliance, and production issues, and respond decisively to unusual behaviour or market conditions
• Collaborate with brokers, exchanges, and internal stakeholders to troubleshoot and resolve production issues in real time
• Identify and drive structural improvements to system stability, monitoring, and operational processes
• Document procedures and maintain accurate logs of incidents and resolutions

WHO YOU ARE:

• At least 1 year of experience in a Trade Supervision, Trading, Risk, Application Engineering, or similar role
• Prior trading exposure across asset classes and strategies highly desirable
• An understanding of exchange-specific rules and procedures
• Highly organised, detail-oriented, and able to operate independently under pressure
• Excellent communication, prioritisation, and problem-solving skills
• Experience working with high-frequency or automated trading systems is preferred
• Experience with Python, Linux command line and the ability to extract and manipulate large data sets is preferred

WHAT YOU’LL GET:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment
• The chance to work alongside diverse and intelligent peers in a rewarding environment
• Training, mentorship and personal development opportunities
• Daily lunch, coffee and snacks
• Fitness Subsidy plus weekly massage, plus massage chair available every day
• Regular social events, including a company trip every two years
• Guided relocation, a competitive relocation package and visa sponsorship where necessary

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

Questions? Get in touch with the recruitment team at careers@optiver.com.au.

Summary/Purpose of the role

We are looking for a Senior Software Development Engineer, Developer Tools to join our team.

Automation of key engineering processes - such as builds, testing, deployments, and more - is a critical focus at Network Optix. These efforts help our engineers work more efficiently and deliver high-quality software faster.

The CI team plays a leading role in designing, building, and maintaining this automation ecosystem, driving best practices in CI/CD (Continuous Integration and Continuous Delivery) across the company.

Current State of CI/CD and Automation

A significant portion of our engineering and infrastructure processes is already automated and continuously evolving. The CI team builds and maintains a range of internal services and tools, including:

• Automation tools – Custom bots and services that streamline routine tasks within merge requests and Jira workflows, built on top of the GitLab and Jira APIs.
• Crash analysis service – A service that processes core and minidumps from client environments and automatically creates Jira issues for developers.
• Sign server – A service that securely signs distributable binaries using certificates and keys provided by customers.
• Build tooling – Tools and integrations to build our cross-platform products using CMake, Ninja, and Conan.
• Product CI pipelines – GitLab-based pipelines that run builds and automated tests across our product line.
• Internal CI/CD solutions – Pipelines and web services for internal CI team projects, including Jenkins jobs.

What the CI Team Has Today

• A real engineering culture – Code reviews, pre-commit checks, and a strong focus on writing high-quality, maintainable code.
• A small, hands-on team – 5 engineers and a team lead who actively contributes to the codebase.
• Solid infrastructure – Bare-metal servers running Kubernetes clusters in our own data center.
• Knowledge sharing – A collaborative environment where engineers actively help each other and grow together.
• Room to grow – Opportunities to take ownership of meaningful projects and develop professionally.
  
  

What you will be doing

There is a substantial amount of work ahead as we continue to expand and improve our CI/CD ecosystem:

• New automation services – Design and implement new services, and continue evolving the existing ones.
• Developer productivity tools – Build internal tools and services that save engineers time and streamline daily workflows.
• Build tooling improvements – Make our build infrastructure faster, more reliable, and easier to maintain.
• Pipeline performance – Improve the efficiency, stability, and execution time of our GitLab pipelines.
• Automation backlog – Work through a growing backlog of automation requests from engineering teams across the company.
• Support and maintenance – Troubleshoot issues, fix bugs, and keep existing solutions reliable.

What you bring

Software engineering – Solid hands-on experience building and maintaining production services, with good coding practices and attention to code quality.

• Python – Strong Python skills; this is the team's primary language for service development.
• Service integration – Familiarity with automating workflows through integration with internal services such as GitLab, Jira, and Artifactory, using direct API access, SDKs, CLI tooling, or other programmatic approaches.
• Scripting experience -  Bash, PowerShell
• Git – Solid knowledge of Git and collaborative development workflows.
• Systems fundamentals – Working knowledge of networking, operating systems, and how software interacts with hardware.

Soft skills

• Engineering mindset - Approaches problems pragmatically, gravitates toward clean and maintainable solutions; but also knows when to “use duct tape” instead of “building a spaceship”.
• Ownership mentality - Takes responsibility for the quality and longevity of their work, not just getting it "done."

Kindness - Approachable personality, able to communicate clearly and with empathy 

Nice to Have (Optional)

• Familiarity with CMake, Conan, Ninja, or similar build tools
• Experience with GitLab CI/CD pipelines
• Jenkins experience (groovy)

What we offer

• Competitive compensation  
• Paid time off 
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote

The position is ideally a hybrid role and the office is located in Hague, Netherlands. 

Summary/Purpose of the role

We are looking for a Senior Software Development Engineer, Developer Tools to join our team.

Automation of key engineering processes - such as builds, testing, deployments, and more - is a critical focus at Network Optix. These efforts help our engineers work more efficiently and deliver high-quality software faster.

The CI team plays a leading role in designing, building, and maintaining this automation ecosystem, driving best practices in CI/CD (Continuous Integration and Continuous Delivery) across the company.

Current State of CI/CD and Automation

A significant portion of our engineering and infrastructure processes is already automated and continuously evolving. The CI team builds and maintains a range of internal services and tools, including:

• Automation tools – Custom bots and services that streamline routine tasks within merge requests and Jira workflows, built on top of the GitLab and Jira APIs.
• Crash analysis service – A service that processes core and minidumps from client environments and automatically creates Jira issues for developers.
• Sign server – A service that securely signs distributable binaries using certificates and keys provided by customers.
• Build tooling – Tools and integrations to build our cross-platform products using CMake, Ninja, and Conan.
• Product CI pipelines – GitLab-based pipelines that run builds and automated tests across our product line.
• Internal CI/CD solutions – Pipelines and web services for internal CI team projects, including Jenkins jobs.

What the CI Team Has Today

• A real engineering culture – Code reviews, pre-commit checks, and a strong focus on writing high-quality, maintainable code.
• A small, hands-on team – 5 engineers and a team lead who actively contributes to the codebase.
• Solid infrastructure – Bare-metal servers running Kubernetes clusters in our own data center.
• Knowledge sharing – A collaborative environment where engineers actively help each other and grow together.
• Room to grow – Opportunities to take ownership of meaningful projects and develop professionally.
  
  

What you will be doing

There is a substantial amount of work ahead as we continue to expand and improve our CI/CD ecosystem:

• New automation services – Design and implement new services, and continue evolving the existing ones.
• Developer productivity tools – Build internal tools and services that save engineers time and streamline daily workflows.
• Build tooling improvements – Make our build infrastructure faster, more reliable, and easier to maintain.
• Pipeline performance – Improve the efficiency, stability, and execution time of our GitLab pipelines.
• Automation backlog – Work through a growing backlog of automation requests from engineering teams across the company.
• Support and maintenance – Troubleshoot issues, fix bugs, and keep existing solutions reliable.

What you bring

Software engineering – Solid hands-on experience building and maintaining production services, with good coding practices and attention to code quality.

• Python – Strong Python skills; this is the team's primary language for service development.
• Service integration – Familiarity with automating workflows through integration with internal services such as GitLab, Jira, and Artifactory, using direct API access, SDKs, CLI tooling, or other programmatic approaches.
• Scripting experience -  Bash, PowerShell
• Git – Solid knowledge of Git and collaborative development workflows.
• Systems fundamentals – Working knowledge of networking, operating systems, and how software interacts with hardware.

Soft skills

• Engineering mindset - Approaches problems pragmatically, gravitates toward clean and maintainable solutions; but also knows when to “use duct tape” instead of “building a spaceship”.
• Ownership mentality - Takes responsibility for the quality and longevity of their work, not just getting it "done."

Kindness - Approachable personality, able to communicate clearly and with empathy 

Nice to Have (Optional)

• Familiarity with CMake, Conan, Ninja, or similar build tools
• Experience with GitLab CI/CD pipelines
• Jenkins experience (groovy)

What we offer

• Competitive compensation  
• Paid time off 
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote

The position is ideally a hybrid role and the office is located in Belgrade, Serbia. 

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do: 

• Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
• Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
• Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
• Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
• Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. 
• Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
• Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
• Spearhead technical excellence in Analytics, Data Science, and BI reporting.
• Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

• Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
• Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
• Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
• Experience with big data tools like Hadoop, Spark, and Presto
• Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
• Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
• Ability to write clear and concise technical documentation.
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

• 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
• Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta. 
• Experience working with ML models that optimize digital marketing and CRM campaigns.
• Experience optimizing CRM campaigns that include push, email, SMS.
• Proving track record of delivering data product and models that optimize marketing operastions
• Proficiency in writing clean code within version-controlled environments
• Experience with Gen-AI workflows and LLMs a plus

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do:

• Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
• Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
• Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
• Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
• Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. 
• Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
• Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
• Spearhead technical excellence in Analytics, Data Science, and BI reporting.
• Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

• Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
• Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
• Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
• Experience with big data tools like Hadoop, Spark, and Presto
• Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
• Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
• Ability to write clear and concise technical documentation.
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

• 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
• Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta. 
• Experience working with ML models that optimize digital marketing and CRM campaigns.
• Experience optimizing CRM campaigns that include push, email, SMS.
• Proving track record of delivering data product and models that optimize marketing operastions
• Proficiency in writing clean code within version-controlled environments
• Experience with Gen-AI workflows and LLMs a plus

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, Proton Pass, Proton Wallet, and Lumo by Proton. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

About Lumo

Lumo is Proton's privacy-first AI assistant that fundamentally reimagines how AI should work - empowering users without exploiting their data. Unlike traditional AI platforms that harvest user conversations for training and profit, Lumo operates with zero-access encryption, keeps no server-side logs, and ensures that conversations remain completely confidential.

Built by the team behind Proton Mail, Proton VPN, and backed by the nonprofit Proton Foundation, Lumo represents a paradigm shift in AI development. We believe the benefits of AI are too great to miss, but the privacy risks of current implementations are too serious to ignore. Lumo is based on open-source language models, operates from Proton's European datacenters, and provides unprecedented transparency in the AI space.

Our Mission: To deliver the full power of artificial intelligence while maintaining user privacy as an uncompromising core principle. We're building an AI that only works for you, not the other way around - where your conversations remain confidential and your data stays fully under your control, never shared, sold, or stolen.

Our Technology: Lumo implements multiple layers of encryption throughout the entire pipeline, from device-to-server communication through to long-term storage, creating a privacy architecture that's simply much stronger than anything else on the market. The platform runs on open-source models including Mistral's Nemo and Nvidia's OpenHands 32B, with full source code transparency.

Role Summary

We are seeking a passionate and skilled Frontend Engineer to join our growing Lumo AI team. You’ll work across all functions of Lumo, turning designs into responsive, fast and reliable interfaces. Your code will shape the day‑to‑day experience of users, making it smoother, clearer, and more enjoyable.

Full Stack Engineering
Create, evolve and sustain high‑performance features that tie together the front‑end and back‑end layers of our modern stack. Ensure every component scales smoothly and integrates cleanly.

What You Will Do

• Turn UI mockups into production‑ready React components.
• Integrate those components with our backend services using TypeScript and modern data‑fetching patterns.
• Optimize performance so pages load instantly even on slower connections.
• Collaborate closely with product managers, designers and other engineers to ship features end to end.
• Own the quality of your work: write tests, document decisions and participate in code reviews.
• Spot friction in the user journey and fix it before it becomes a complaint.

What we expect

• Strong expertise in React.
• Solid grasp of TypeScript and JavaScript fundamentals.
• Experience with state‑management and data‑fetching libraries.
• Ability to produce clean, maintainable code without cutting corners.
• Good communication skills and a willingness to give and receive honest feedback.
• A proactive attitude – you identify problems and solve them, not wait for direction.

Nice to have

• Exposure to AI or large language model products.
• Python scripting for tooling or data tasks.
• Knowledge of distributed systems and observability stacks.
• Hands‑on experience with design tools such as Figma.

Why Join Lumo

You'll be joining a mission-driven team at Proton, trusted by over 100 million people worldwide and owned by the nonprofit Proton Foundation. This role offers the opportunity to shape the future of AI by building fullstack infrastructure that proves privacy, performance, and reliability aren't mutually exclusive.

As a Fullstack Applied AI Engineer at Lumo, you'll own the complete technical stack powering privacy-first AI experiences, ensuring millions of users can rely on Lumo for their most sensitive conversations with complete confidence in both AI capabilities and privacy protection.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

About the role:

The MSA team (Mail Delivery, Spam, and Anti-Abuse) is a multidisciplinary group founded in 2019 to solve complex security challenges across the Proton ecosystem. We build sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of real-time or asynchronous decisions daily. Our focus areas include:

1. Mail delivery and spam prevention

2. Abuse detection

3. Account security

4. Site reliability and resilience

Over the past few years, our custom systems have:

• Reduced spam filter misclassifications by over 70%

• Blocked millions of abusive bulk signups

• Protected hundreds of thousands of users from account compromises

• Mitigated hundreds of DDoS attacks

Recently, we’ve expanded our impact with Proton Sentinel (an AI-human hybrid security program) and Proton CAPTCHA (our own puzzle system to detect and prevent abuse). We’re now scaling our capabilities with agentic AI to enable autonomous threat detection and response.

In 5 years, we’ve grown from 2 engineers to 40+ engineers and analysts across 3 continents, operating 24/7. We’re looking for curious, collaborative, and impact-driven engineers who thrive in a startup environment and want to shape the future of secure AI.

What You Will Do

• Design and deploy scalable ML systems using modern MLOps practices, including real-time inference, model monitoring, and automated retraining pipelines.

• Architect agentic AI systems capable of autonomous threat detection, adaptive policy enforcement, and self-healing security responses.

• Build tools for model development, debugging, and explainability to accelerate iteration and transparency.

• Optimize ML workflows for distributed environments to handle large-scale data processing.

• Collaborate cross-functionally with security analysts, backend/frontend engineers, and customer support to align technical solutions with user needs.

• Advance the state of ML for anti abuse and account security, exploring cutting-edge techniques like adversarial robustness, graph-based anomaly detection, and privacy-preserving AI.

What You Bring

• Degree in Computer Science or a related quantitative field, with 2+ years hands-on experience in building and running ML systems.

• Production-level ML expertise: You’ve shipped models that handle real-world scale and complexity.

• Hands-on experience with LLMs in agentic environments.

• Strong software engineering skills: Proficiency in Python, with a solid understanding of backend and server fundamentals.

• Statistical rigor: Deep understanding of probability, hypothesis testing, and experimental design.

• Experience with adversarial ML or red-teaming ML systems.

• Experience working on distributed systems.

• Contributions to open-source security/privacy tools.

• Knowledge of federated learning, differential privacy, or on-device inference.

• Familiarity with graph-based anomaly detection or knowledge graphs.

• Technical leadership: Experience owning projects, mentoring peers, and driving technical direction.

• Security mindset: Familiarity with abuse patterns, adversarial attacks, or threat intelligence (bonus points!).

Why Join Us?

• Impact at scale: Your work will protect millions of users globally.

• Cutting-edge tech: Tackle challenges like agentic AI, real-time threat detection, and privacy-preserving ML.

• Collaborative culture: Work with a global team of experts in security, ML, and systems engineering.

• Growth opportunities: Lead initiatives, mentor other, and learn across a diverse technology stack

• Mission-driven: Contribute to a privacy-first internet where users control their data.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role:

We are looking for a MLOps / Infrastructure Engineer to join the MSA (Mail Security & Anti-abuse) team and support the operation and evolution of our machine learning anti-abuse systems.
MSA is a multidisciplinary group created in 2019 to tackle complex problems in mail delivery, spam prevention, abuse detection, and account security across the Proton ecosystem. Our systems combine human expertise and machine learning to make tens of millions of decisions daily, protecting users from spam, fraud, account compromise, and large-scale attacks.
Today, our focus areas include:

• Mail delivery and spam protection
• Abuse detection and account security
• Site reliability across Proton services
• New products such as Wallet and Lumo

Our systems have reduced spam misclassifications by over 60%, blocked millions of abusive signups, protected hundreds of thousands of users from account compromise, and mitigated hundreds of large-scale attacks.
To move fast with limited resources, we operate as autonomous teams owning systems end-to-end across infrastructure, backend, data, ML, and operations. In just a few years, we have grown from 2 to over 60 engineers and analysts across three continents, providing 24/7 protection to millions of users.
We are looking for humble, mission-driven engineers who enjoy learning, improving systems, and making a real-world impact.
This role is ideal for someone early in their career who wants to build strong foundations in infrastructure, automation, and production ML systems. You will work closely with experienced engineers to deploy, monitor, and maintain critical services that run 24/7 and protect millions of Proton users.

What you will do:

As an MLOps / Infrastructure Engineer, you will contribute to the reliable operation and continuous improvement of systems protecting millions of Proton users.

• Assist in maintaining the operational stability of machine learning and anti-abuse systems running 24/7
• Support deployment and maintenance of services and infrastructure under guidance from senior engineers
• Help implement and improve logging, monitoring, and alerting for production systems
• Participate in debugging and resolving production incidents with team support
• Contribute to CI/CD pipelines and deployment automation workflows
• Assist in deploying and maintaining containerized services using Docker and related tools
• Support infrastructure automation efforts through scripting and configuration management
• Document operational procedures and deployment processes
• Gradually take ownership of infrastructure components and improvements as experience grows

Job requirements:

• Experience with Linux system fundamentals (command line, systemd, troubleshooting)
• Proficiency in scripting languages (Bash and Python)
• Familiarity with Docker and containerization concepts
• Basic understanding of CI/CD pipelines and automated deployments
• Basic familiarity with databases such as MySQL or similar systems
• Experience with Git and collaborative development workflows
• Strong problem-solving mindset and ability to work and learn in a fast-paced global team
• Willingness to participate in on-call rotations after initial ramp-up
• Strong communication skills in English (written and verbal)

• Hands-on experience with Ansible, Puppet, or similar configuration management tools
• Familiarity with data processing and workflow orchestration tools (Airflow, Dask)
• Experience deploying services to production environments (personal projects count)
• Exposure to monitoring and observability tools (Prometheus, Grafana, ELK)
• Basic understanding of machine learning workflows or data pipelines
• Familiarity with Terraform, Kubernetes, or cloud infrastructure platforms

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.
•  

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

A better internet, where privacy is the default, is possible. Building this better internet might seem daunting or even unthinkable, but at Proton, this is what we do every day.  

Proton was founded in 2014 by a group of scientists who met at the European Organization for Nuclear Research (CERN). Our first product, Proton Mail, is now the world’s largest encrypted email service. Subsequent Proton products, such as Proton VPN, Proton Calendar, Proton Drive, and Proton Pass give our users full control over how and with whom their data is shared.  

Today, Proton makes privacy universally accessible. Journalists from outlets like The Guardian and The New York Times, some of the world’s largest organizations, and people in more than 180 countries have signed up for over 100 million accounts. Our diverse and dynamic team is made up of more than 400 members representing over 40 different nationalities. While we are based in Geneva, Switzerland, we have offices in Zurich, Prague, London, Vilnius, Skopje, Taipei, Barcelona, Paris and many more employees working remotely around the world.  

Join one of Europe’s fastest-growing companies to help us solve challenging problems and build new products that will reach hundreds of millions of people. We want to create more than just one of the world’s most impactful tech companies; we want to create a new internet that serves the interests of all people. We need you, your voice, your ideas, and your ambition to make it happen.   

Purpose of the role

The MSA department is a highly multi-disciplinary group started in 2019 to tackle difficult mail delivery, spam and abuse problems. We built sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of realtime or asynchronous decisions each day. As of 2022, our three areas of focus are 1) mail delivery and spam, 2) abuse and account security, and 3) site reliability of Proton. Over the past years, our custom systems have reduced spam filter misclassifications by over 50%, blocked millions of abusive bulk signups, protected hundreds of thousands of users from account compromise by attackers, and mitigated hundreds of DDoS attacks. In order to move fast with limited resources, we are organized into autonomous teams responsible for the whole system, with expertise across infrastructure, data storage, backend, frontend, machine learning, security and operational excellence. In 3 years, we grew from 2 engineers to over 30 engineers and analysts, spread across 3 continents for 24/7 coverage. We are looking for humble, mission-driven, systems-thinking people who want to make a big impact in a startup environment.

What you will do

• Monitoring how things are working in production and taking appropriate actions across all MSA systems
• Fight spam and abuse by quickly understanding the data and context and creating rules to act on past or future events 
• Give insights and feedback to Software and Machine Learning Engineers to help design and improve our systems. 
• As an engineering-driven organization, MSA currently doesn't have product or project managers, so you will have the opportunity to play those roles and drive the planning, development, and QA process.
• Our more technical analysts develop Python scripts for more sophisticated actions or data analysis

Job requirements

• Experience performing data analysis (preferable but not limited to electronic communications, anomaly detection or fraud prevention)
• Strong logical reasoning and analytical skills
• Excellent English communication, both written and spoken
• Able to operate in a fast environment 
• Skopje Work Schedule: second shift (2:00 PM – 10:00 PM CEST) with flexible schedule
• Taipei Work Schedule: standard day shift

Bonus points for:

• Experience with Python 

 Why should you join Proton?  

• Be part of a movement - Proton is not just a product or service but a community-driven movement united by a shared vision of online freedom. Our services are open source, audited, and supported by community contributions. We give back to our community by maintaining core encryption libraries and by supporting other organizations furthering the same goals as us. Proton is free, open source, neutral, independent, and community first, while remaining financially sustainable.  
• Work with smart and dedicated people - Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.  
• Join a strong brand - Our encrypted email service - Proton Mail - has grown to be a staple of online security and privacy. Proton has been featured in multiple popular television and film productions, such as Mr. Robot, Knives Out, Sounds of Metal, and more.  
• Grow with us - We’re one of Europe’s fastest-growing startups, doubling in size every year. Our growth gives you limitless career and educational opportunities as well as the opportunity to work side-by-side with many world-leading experts in their fields. 
• Have your voice heard - We value your opinion and encourage you to speak up and share your ideas and thoughts. At Proton, no problem is someone else’s problem. We collectively strive to do the right thing and be the undisputed best in the world at everything we do. 
• Benefits – these vary by location and type of contract but expect support on your vacation, parental leave, refreshment if working from the office, learning and development opportunities, equity for shared success, flexible working hours and remote work, company events and team building activities.   

Proton does not accept unsolicited resumes from any sources other than directly from a candidate. Proton will not pay a fee for any placement resulting from the receipt of an unsolicited offer, even in a situation when the relevant candidate is employed by Proton.  

To learn more about our privacy policy, please visit https://boards.eu.greenhouse.io/protongdpr.

What you’ll do

Responsibilities:

• Design, build and maintain services, pipelines and infrastructure that improve the productivity of engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile, firmware and backend engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our CI/CD pipelines, release infrastructure and test automation systems for SDKs, apps and firmware.
• Work with stakeholders to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Contribute to developer productivity and reliability metrics (e.g. build times, test stability, release velocity) and help drive initiatives that improve them.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including strong experience with backend systems, services or infrastructure. 
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, data pipelines, and infrastructure.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.

Preferred qualifications

• Proficiency in one or more of: Go, Java, or Python.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience designing and operating CI/CD pipelines and release automation systems (e.g. Jenkins, GitLab CI, GitHub Actions).
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with mobile or embedded systems is a plus.
• Experience with infrastructure-as-code, container orchestration, or cloud-native service design.
• Experience with observability and monitoring tools (e.g. Grafana, Prometheus) for developer-facing infrastructure.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

 Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview  

This role focuses on ensuring high-quality customer experiences across e-commerce and customer-facing applications. You will own testing strategies, execution, and continuous improvement for features that impact real users at scale, working closely with multiple product and engineering teams. 

What You Will Do  

• Design and maintain comprehensive test plans and case management for large-scale, cross-functional projects.
• Define end-to-end test strategies spanning multiple service domains.
• Break down ambiguous, complex problems into clear, actionable plans and drive them to completion.

• Develop and execute automation across mobile, web, and backend platforms.
• Own and continuously evolve test automation frameworks and infrastructure.
• Design and implement integration test strategies against live or production-like environments.

• Define, optimize, and enforce QA standards and best practices.
• Drive bug tracking, metrics visualization, and quality trend analysis.
• Lead incident management practices and drive resolution of production issues.
• Produce clear, high-quality documentation and runbooks that empower the team.

• • Act as a cultural and professional role model; drive multiple projects or mission-critical components.
  • Shape team culture and champion continuous improvement.
  • Mentor team members and support their professional growth.
  • Coordinate across teams, align stakeholders, and work effectively with cross-functional peers.
  • Facilitate decision-making, build consensus, and remove roadblocks.

Basic Qualifications  

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 5+ years of hands-on software test automation experience.
• Solid understanding of QA methodologies, processes, and quality standards.
• Proficient in at least one object-oriented language (e.g., Java, Python).
• Experience with open-source test automation tools (e.g., PyTest, Appium, Selenium).
• Familiarity with distributed service architectures and cross-domain system interactions.
• Proven ability to deliver scalable, reliable test infrastructure.
• Self-driven; able to work independently and lead initiatives end-to-end.
• Strong impact beyond individual contribution — driving large projects or critical components.
• Proficient in English (written and verbal); effective communicator in a global team setting.

Preferred Qualifications 

• Experience in e-commerce or large-scale online platforms (e.g., search, discovery, cart, checkout, order, payment, fulfillment, logistics).
• Hands-on experience applying AI/LLM to testing workflows (e.g., AI-assisted test generation, agentic test planning, intelligent test analysis).

Recruitment Process and Others  

Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview  

As a Senior Program Manager in the Logistics Operations Center (LOC), you will shape strategy and lead execution for Taiwan logistics initiatives while partnering closely with regional stakeholders (including the KR team). You will translate insights into programs, manage complex cross-functional delivery, and embed KPI-driven operating rhythms that materially improve on-time delivery, cost-to-serve, and customer experience.Drive end-to-end program execution to improve Promise Delivery Date (PDD) performance, Delivery performance and elevate consumer satisfaction across first-mile, middle-mile, and last-mile operations. This role owns the roadmap, governance, and outcomes required to transform operational delivery through data-driven decision-making, cross-functional leadership, and scalable process excellence. You will succeed by influencing without formal authority, aligning leadership around clear priorities, and building mechanisms that scale—from reporting and dashboards to SOPs, governance, and change management.

What You Will Do

• End-to-End Program Leadership: Own the portfolio across first-, middle-, and last-mile. Define scope, OKRs, workstreams, and success metrics; lead planning, execution, launch, and stabilization.
• KR-to-TW Transition & Expansion: Lead a structured handover of existing TW last-mile reports from the KR team; design unified reporting that brings first-, middle-, and last-mile into a single end-to-end visibility framework.
• Operational Excellence & PDD Improvement: Partner with LOC specialists, hub managers, linehaul, sortation, and TW logistics leadership to prioritize defects, remove bottlenecks, and deliver measurable gains.
• Insight-to-Action Mechanisms: Build robust dashboards and operational reporting (Tableau/Power BI) to surface issues fast; convert analytics into clear decisions, owners, timelines, and SOP changes.
• Cross-Functional Problem Solving: Align on problem statements with partners (e.g., hub managers, Product, Engineering, Finance), decompose complex problems, and deliver structured analyses and recommendations.
• Simulation & Scenario Planning: Lead data simulations and sensitivity analyses for new initiatives (e.g., network design changes, volume shifts, cut-off adjustments), supporting fact-based trade-offs between service, speed, and cost.
• Risk & Change Management: Identify risks early, run mitigation plans, and manage stakeholder communications and change adoption at the field and leadership levels.
• Stakeholder Influence & Communication: Communicate crisply at all levels—from ops floors to executive forums—with narratives that clarify options, risks, and ROI.

Basic Qualifications 

• Experience: 6+ years in Program/Project Management or Analytics-driven Operations within logistics, e-commerce, supply chain, or similar high-scale environments.
• Data & Tools: Strong ability to self-serve and validate data (SQL required). Proficiency with Tableau and/or Power BI. Experience with big data environments (Hadoop, Spark, Presto, Airflow) is a plus. Python familiarity is a plus.
• Execution Excellence: Demonstrated ability to deliver complex, multi-team initiatives in fast-paced, ambiguous settings; strong risk management and dependency tracking.
• Problem Solving: Exceptional structured thinking and root cause analysis; ability to handle unstructured problems and convert into executable workstreams.
• Communication & Influence: Executive-ready written and verbal communication; adept at influencing senior stakeholders and driving decisions without authority.
• Education: Bachelor’s or Master’s in Statistics, Industrial Engineering, Operations Research, Supply Chain, or related field; or equivalent experience. 

Preferred Qualifications 

• Logistics Domain Depth: Understanding of first/middle/last mile, hub operations, linehaul planning, route optimization, and PDD mechanics.
• Technical Proficiency: Hands-on with Python or statistical tooling for simulations, forecasting, and experiment design. Very proficient with Google sheets, Excel, SQL , Tableau and PowerBI
• Leadership: Experience mentoring Business Analysts and leading program workstreams across Product, Engineering, Operations, and Finance.
• Languages: Strong English (written & verbal); additional Asian language capability (e.g., Mandarin or Korean) is a plus for regional collaboration. 

Recruitment Process and Others  

Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

主要職責：

營運痛點分析與歸因 (Root Cause Analysis)：建構顧客體驗漏斗，從用戶生命週期識別流程問題、營運文題、分析深層原因。

端到端數據管道建構與維護 (ETL & Pipeline)：使用 Presto/Hive SQL 處理大規模數據，負責設計與維護 Airflow DAGs、開發並優化數據市集 (Data Marts)、監控數據管道健康度，確保數據準確性 (Data Quality)。

流程自動化與工具開發 (Automation & Tooling)：使用 Python 開發自動化腳本，整合 Slack、GitHub、Zendesk、Tableau、Presto、Confluence 與各類內部 API 並使用/導入 LangChain、MCP Server，實現各類研究、報表建立、Quality Assurance 等自動化更新與發布，減少人工介入、提升團隊效率

必要條件：

具備處理SQL 查詢 (Recursive CTE, Window Functions, JSON parsing) 的能力。

具備商業分析敏感度，能將模糊的業務問題 (如「為什麼客訴增加？」) 轉化為具體的數據分析專案。

熟悉 Tableau Server 、 Power BI 或相關報表製作與操作。

加分條件：

熟悉客服與工單系統營運數據結構：有客服、電商、物流等類似系統的數據分析經驗。

具備電商或供應鏈領域知識：了解電商商業模式、物流庫存邏輯。

具備 Python 實務開發能力，能夠撰寫自動化腳本、處理 API 串接或進行數據轉換。

熟悉 Airflow 或類似的工作流調度工具，有實際撰寫與維護 DAG 的經驗。

熟悉版本控制工具 (GitHub/Git)，習慣 Pull Request (PR) 審查與協作流程。

AI/LLM 應用經驗：曾使用 LangChain 或內部 AI 工具建構輔助分析的 Agent 或自動化流程。 

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview  

As the Senior Manager of Data Analytics, you will lead the intelligence engine for Coupang Taiwan’s Post-Purchase Experience, CS & Fraud. You will transform massive datasets into actionable strategies that reduce return defects, fraud, optimize customer service efficiency, and identify opportunities to improve return customer experience. You will lead a team of analysts to bridge the gap between "what happened" and "what we should do next."

What You Will Do 

• Strategic Insights: Lead the end-to-end analytics for the Returns and CS lifecycle. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions.

• Predictive Modeling: Develop and oversee models to predict return propensity and customer lifetime value (CLV), helping the business proactively manage risk.

• Performance Measurement: Define and own the "North Star" metrics for the Taiwan CS organization, including First Contact Resolution (FCR), Net Promoter Score (NPS), and Cost per Contact.

• Stakeholder Influence: Act as a strategic partner to the PPE (Process, Policy & Engineering) and Logistics teams, using data to influence the product roadmap and operational SOPs.

• Team Leadership: Mentor and scale a team of high-performing data analysts, fostering a culture of technical excellence and business-first thinking.

• Dashboarding & Automation: Transition the organization from manual reporting to real-time, automated BI solutions (Tableau/Looker) that empower regional leads

Basic Qualifications  

• Experience：8+ years in Data Analytics, Business Intelligence, or Data Science (E-commerce or FinTech preferred).
• Technical Stack：Expert proficiency in SQL and Python/R. Deep experience with Tableau, PowerBI, or Looker, Prompt engineering, usage for LLMs for analytics.
• Statistical Skills：Strong grasp of A/B testing, regression analysis, and hypothesis testing.
• Leadership：3+ years of experience managing direct reports and leading cross-functional projects.
• Communication：Ability to translate "data-speak" into executive-level narratives in both English and Mandarin.

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

我們在台灣的包括「火箭速配」，以實惠的價格為多種精選商品提供隔日到貨服務。「火箭跨境」供應來自韓國、美國等地數百萬種暢銷商品，並提供國際速配服務。 
我們正在尋覓人才協助我們帶領 Coupang 台灣拓展業務。這是個難得的機會，一同參與 Coupang 在台灣的成長，打造一個讓我們的顧客自問「沒有 Coupang，我該怎麼過活？」的世界。

職缺名稱: Associate, In-stock Management Specialist 庫存管理專員

主要職責：
- 負責所屬商品類別之日常營運支援，與 Category Director 合作，確保類別營運順暢
- 管理商品與供應商相關關鍵資料（如商品資訊、分類、價格與作業設定），確保資料正確並支援前台與日常營運
- 每日執行類別營運檢核（morning check），檢視商品、訂單及供應商作業狀態，主動發現並處理營運或系統異常
- 透過系統與平台檢視並修正商品或資料錯誤，避免影響使用者體驗與營運表現
擔任類別窗口，負責供應商日常溝通（商品與訂單確認、出貨與交期更新），並協助說明正確作業流程，降低錯誤發生率
- 協助團隊其他營運或專案相關事項

基本條件：
- 具備良好的溝通能力，能以 Email 為主、偶爾透過電話進行供應商及內部溝通
- 具備電商、零售或營運相關經驗者佳
- 熟悉 Excel 基本至進階操作（如樞紐分析、V lookup）
- 具備基本 SQL 或 Python 操作能力者加分（如資料查詢、簡易數據處理或分析）

招募流程：
申請資格審核 – 電話面試 – 現場(或線上面對面)面試 – 錄取通知 
招募流程實況可能因職缺而異，亦可能因為時程安排或其他原因變動 
將透過應徵者在申請階段提供的電子郵件，告知面試時程和結果 

注意事項：
若所有職缺皆招募完成，本公告可能在所示截止日期前關閉 
若應徵者在申請過程中提供假造資訊，酷澎有權收回錄取通知 
酷澎不會歧視殘障人士或退伍軍人，對所有應徵者都提供平等的競爭機會

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Role Overview

Business Analysts (BA) shine in Coupang's various business and operational organizations where data-driven decision making is important. Our large amount of data is transformed into meaningful information and insights by BAs in each organization (Marketing, Logistics, Shipping, Compliance, Finance, etc.).

You'll be part of our growth and have the opportunity to develop your career!

* Meet the Coupang Business Analyst

What You Will Do 

• Support business decisions with data
• Improve existing processes and develop and manage new metrics 

Basic Qualifications

• Minimum 3 years of data analytics experience
• Proficient SQL experience and competence (SQL coding test required)
• Experience in business intelligence reporting and dashboarding using Tableau or Power BI
• Able to multi-task with judgement in prioritising work to meet the fast-paced business environment

Preferred Qualifications

• Experience working in the e-commerce or internet services industry
• Experience with Python, R or other programming languages

* Application documents: English CV (required)
** The experience needed for each role varies. After receiving your CV, we will offer suitable positions to candidates based on their experience and skills.

Recruitment Process and Others  

Recruitment Process  

• Application Review - SQL Test - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Company Introduction 

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

• Support the execution of capacity planning models for last mile logistics, ensuring consistency with operational guidelines.
• Perform daily and monthly manpower and asset planning activities, working with operations teams to ensure timely completion.
• Analyze basic driver performance and cost data to identify trends and support efficiency improvements at the route or area level.
• Assist in maintaining and enhancing workforce planning tools to improve forecasting accuracy and operational responsiveness.
• Prepare regular reports and dashboards to support business decision‑making.

• 3+ years of experience in planning operations.
• Hands‑on experience in data processing, analysis, and building basic analytical models.
• Strong attention to detail with a data‑driven mindset.
• Good communication and collaboration skills.
• Proficiency in MS Office, Advanced Excel, Google Sheets, and familiarity with Tableau and SQL/Python.

• Degree in Business, Logistics, Supply Chain, Industrial Engineering, or a related field.
• Experience in logistics last mile or middle mile operations.
• Basic English verbal communication skills for discussion.

Recruitment Process and Others  

Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Position : Principal, Program Management (Logistics Operation Center) 

What will you do?

• End-to-End Program Leadership: Own the portfolio across first-, middle-, and last-mile. Define scope, OKRs, workstreams, and success metrics; lead planning, execution, launch, and stabilization.
• KR-to-TW Transition & Expansion: Lead a structured handover of existing TW last-mile reports from the KR team; design unified reporting that brings first-, middle-, and last-mile into a single end-to-end visibility framework.
• Operational Excellence & PDD Improvement: Partner with LOC specialists, hub managers, linehaul, sortation, and TW logistics leadership to prioritize defects, remove bottlenecks, and deliver measurable gains.
• Insight-to-Action Mechanisms: Build robust dashboards and operational reporting (Tableau/Power BI) to surface issues fast; convert analytics into clear decisions, owners, timelines, and SOP changes.
• Cross-Functional Problem Solving: Align on problem statements with partners (e.g., hub managers, Product, Engineering, Finance), decompose complex problems, and deliver structured analyses and recommendations.
• Simulation & Scenario Planning: Lead data simulations and sensitivity analyses for new initiatives (e.g., network design changes, volume shifts, cut-off adjustments), supporting fact-based trade-offs between service, speed, and cost.
• Risk & Change Management: Identify risks early, run mitigation plans, and manage stakeholder communications and change adoption at the field and leadership levels.
• Stakeholder Influence & Communication: Communicate crisply at all levels—from ops floors to executive forums—with narratives that clarify options, risks, and ROI.

Basic Qualifications

• Experience: 6+ years in Program/Project Management or Analytics-driven Operations within logistics, e-commerce, supply chain, or similar high-scale environments.
• Data & Tools: Strong ability to self-serve and validate data (SQL required). Proficiency with Tableau and/or Power BI. Experience with big data environments (Hadoop, Spark, Presto, Airflow) is a plus. Python familiarity is a plus.
• Execution Excellence: Demonstrated ability to deliver complex, multi-team initiatives in fast-paced, ambiguous settings; strong risk management and dependency tracking.
• Problem Solving: Exceptional structured thinking and root cause analysis; ability to handle unstructured problems and convert into executable workstreams.
• Communication & Influence: Executive-ready written and verbal communication; adept at influencing senior stakeholders and driving decisions without authority.
• Education: Bachelor’s or Master’s in Statistics, Industrial Engineering, Operations Research, Supply Chain, or related field; or equivalent experience.

Preferred Qualifications

• Logistics Domain Depth: Understanding of first/middle/last mile, hub operations, linehaul planning, route optimization, and PDD mechanics.
• Technical Proficiency: Hands-on with Python or statistical tooling for simulations, forecasting, and experiment design. Very proficient with Google sheets, Excel, SQL , Tableau and PowerBI
• Leadership: Experience mentoring Business Analysts and leading program workstreams across Product, Engineering, Operations, and Finance.
• Languages: Strong English (written & verbal); additional Asian language capability (e.g., Mandarin or Korean) is a plus for regional collaboration.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  https://www.coupang.jobs/privacy-policy/​

人人均等的機會

Coupang提供均等的機會給所有員工。若沒有全球多元團隊的寶貴意見，我們不可能達成史無前例的成功

Company Introduction

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang.

Position: Senior Capacity Planning Manager (Last Mile Management)

Role Overview

The Senior Capacity Planning Manager role plays a strategic part in establishing KPIs, forecasting logistics capacity, integrating sales forecasts into planning, analyzing driver performance, and developing workforce planning tools to optimize last mile and middle mile operations.

Key Responsibilities

• Establish key performance indicators and benchmarks for planning and forecasting into last mile and middle mile logistics.
• Prepare and share daily/monthly last mile and middle mile capacity manpower and asset planning models and collaborate with operations teams to execute.
• Connect with S&OP(Sales & Operations Planning) to collect the GMV/Sales forecast and transform them into the logistics expansion planning.
• Measuring the last mile driver's performance analysis of multiple cost models and design the route/area-wise productivity of each driver.
• Support the development and implementation of workforce planning tools for accurate capacity forecasting.

Essential Qualifications:

• 5+ years of relevant experience in logistics last mile and middle mile.
• Proven experience in data processing and analysis to build models that support business decisions.
• Strong communication skills across various contexts.
• Strong analytical mindset and data-driven approach.
• Proficiency in MS Office, Advanced Excel, Google Sheet, Tableau and SQL/Python.

Prefered Qualifications:

• Degree in Business, Logistics, Supply Chain, or Industrial Engineering.
• Experience in planning and project management.

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.   

 We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” 

Role Overview

Coupang Taiwan is looking for a Senior Analyst to join our Affiliate Marketing Operations. In this role, you will work within the Growth Analytics team to enable marketing campaigns across various affiliate channels.  You will partner closely with marketing stakeholders to build performance reporting and data feeds, while analyzing user behavior to support campaign operations and "wow" our customers! Additionally, you will collaborate with engineers to develop marketing products and tracking features, with the opportunity to contribute to building data models and improving our data pipelines.  

What You Will Do  

• Process audience-building requests by leveraging working knowledge of SQL and Python. Write SQL queries to segment customers for campaigns and marketing data feeds. 

• Work closely with stakeholders to deep-dive into data issues and provide clear and actionable plans by analyzing data and insights. 

• Maintain a high bar for quality and accuracy. Provide clear documentation of work and code. 

• Work on defining the Marketing Metric, building and maintaining Marketing dashboards. Continuously track marketing campaign results. 

• Communicate effectively and proactively with internal stakeholders.  

• Collaborate with the Marketing Tech team to guide product development by sharing actionable insights from our existing reports. 

Basic Qualifications

• Bachelor’s degree or equivalent experience  
• 5+ years of experience in data analytics with proficiency in SQL and data visualization tools (e.g., Tableau)  
• Foundational knowledge of statistical concepts and testing methodologies  
• Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data  
• Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely 
• Identify key drivers of performance and provide actionable insights to stakeholders through the application of data analytics, scripting and programming skills (Python, SQL) as well as any relevant tools. 

Preferred Qualifications 

• Master’s degree in Business Analytics, Data Science, or a related field 

• Experience in Retail/E-commerce industries, Affiliate Marketing, Performance Marketing, or CRM functions 

• Experience in data ETL (Extract, Transform, Load) and data engineering principles  

• Proficiency with Python or other scripting languages for advanced data manipulation 

• Experience working in a global or multinational team environment 

• Experience collaborating with the engineering team to develop products. 

• Experienced in building machine learning models to enable precision marketing and improve audience targeting accuracy. 

Recruitment Process and Others  

 Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer 

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. 

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled. 

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

 Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  

https://www.coupang.jobs/privacy-policy/​ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Role Overview  

The Customer-Centric Planning team is looking for a Senior Data Analyst with an engineering mindset. You will not only be a user of data but also a builder of data infrastructure. This position highly integrates Data Analysis and Analytics Engineering. You will be responsible for maintaining Airflow ETL processes from multiple internal data sources such as Zendesk, WMS (Warehouse Management System), and OMS (Order Management System), and utilizing Python and AI tools for automation development to support the operation and optimize the experience of teams such as Supplier Support, Customer Support, and Andon.

1. Delve into underlying technologies: Directly operate Airflow and Presto clusters, participating in the complete lifecycle from Raw Data to Insight.
2. Embrace new technologies: We actively introduce AI (Windsurf, Gemini, Copilot) and automation tools to eliminate repetitive tasks.

What You Will Do 

• Quickly support (within hours) and respond to the needs of various operational teams, formulate Ad-Hoc analysis plans, and produce high-quality, highly accurate data reports.
• Operational Pain Point Analysis and Root Cause Analysis: Building a customer experience funnel, identifying process issues and operational problems from the user lifecycle, and analyzing deep-seated causes.
• End-to-End Data Pipeline Construction and Maintenance (ETL & Pipeline): Using Presto/Hive SQL to process large-scale data, responsible for designing and maintaining Airflow DAGs, developing and optimizing Data Marts, monitoring data pipeline health, and ensuring data quality.
• Process Automation and Tool Development (Automation & Tooling): Using Python to develop automation scripts, integrating Slack, GitHub, Zendesk, Tableau, Presto, Confluence, and various internal APIs, and using/introducing LangChain, MCP Server to achieve automated updates and releases for various research, report generation, Quality Assurance, etc., reducing manual intervention and improving team efficiency.

Basic Qualifications  

• 3+ years of data analysis or data engineering experience, with the ability to handle complex SQL queries (Recursive CTE, Window Functions, JSON parsing).
• Possess business analysis sensitivity, capable of transforming vague business problems (e.g., "Why are customer complaints increasing?") into concrete data analysis projects.
• Familiar with Tableau Server, Power BI, or related report creation and operation.

Preferred Qualifications

• Familiar with customer service and ticketing system operational data structures: experience in data analysis for similar systems such as customer service, e-commerce, and logistics.
• Possess e-commerce or supply chain domain knowledge: understanding of e-commerce business models and logistics inventory logic.
• Possess practical Python development skills, capable of writing automation scripts, handling API integration, or performing data transformation.
• Familiar with Airflow or similar workflow scheduling tools, with practical experience in writing and maintaining DAGs.
• Familiar with version control tools (GitHub/Git), accustomed to Pull Request (PR) review and collaboration processes.
• AI/LLM application experience: experience using LangChain or internal AI tools to build auxiliary analysis agents or automated processes.

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.   

 We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” 

Role Overview

Coupang Taiwan is looking for an Analyst to help with Performance Marketing operations. You will work within the Growth Analytics team to help enable marketing campaigns across various channels, which include Paid, Search, and CRM. You will partner closely with marketing stakeholders to build performance reporting, data feeds, and analyze user behavior to support campaign operations and WOW the customer! Furthermore, you will work closely with a dedicated manager who will provide guidance and support throughout your projects.

What You Will Do  

• Process audience-building requests by leveraging working knowledge of SQL and Python. Write SQL queries to segment customers for campaigns and marketing data feeds.
• Analyze marketing data to identify key drivers of performance and provide actionable insights to stakeholders.
• Work closely with stakeholders to deep-dive into data issues and drive actionable insight.
• Maintain a high bar for quality and accuracy. Provide clear documentation of work and code.
• Work on reporting requests and data pulls that support decision-making processes.
• Communicate effectively and proactively with internal stakeholders.

Basic Qualifications

• Bachelor’s degree or equivalent experience
• 5+ years of experience in data analytics with proficiency in SQL and data visualization tools (e.g., Tableau)
• Foundational knowledge of statistical concepts and testing methodologies
• Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data
• Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely

Preferred Qualifications 

• Master’s degree in Business Analytics, Data Science, or a related field
• Experience in Retail/E-commerce industries, Performance Marketing, or CRM functions
• Experience in data ETL (Extract, Transform, Load) and data engineering principles
• Proficiency with Python or other scripting languages for advanced data manipulation
• Experience working in a global or multinational team environment

Recruitment Process and Others  

 Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer 

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. 

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled. 

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

 Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:  

https://www.coupang.jobs/privacy-policy/​ 

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns. This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

What You Will Do:

• Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
• Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
• Train and deploy machine learning models on both in-house and cloud-based platforms.
• Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
• Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
• Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
• Create a data pipeline to ensure data availability and quality.
• Interpret and present your data story to marketing leadership.
• Foster an analytic culture as part of a growing data team.

Basic Qualifications

• 5+ years’ working experience in machine learning.
• 3+ years’ working experience in SQL.
• 3+ years’ working experience in Python.
• Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
• Strong critical thinking and problem-solving skills.
• Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
• Strong communication skills to share analysis results in clear and concise manners.
• Proficiency in both Mandarin and English (both verbal and written).

Preferred Qualifications:

• Experience in retail / E-commerce industries.
• Experience in growth marketing and CRM function. 
• Master’s degree in business analytics, data analytics, data science or equivalent experience.
• Experience in data ETL and data engineering.
• Experience in AWS or GCP.
• Strong English skills (both verbal and written).

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have

submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.

This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

What You Will Do:

• Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
• Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
• Train and deploy machine learning models on both in-house and cloud-based platforms.
• Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
• Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
• Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
• Create a data pipeline to ensure data availability and quality.
• Interpret and present your data story to marketing leadership.
• Foster an analytic culture as part of a growing data team.

Basic Qualifications

• 5+ years’ working experience in machine learning.
• 3+ years’ working experience in SQL.
• 3+ years’ working experience in Python.
• Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
• Strong critical thinking and problem-solving skills.
• Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
• Strong communication skills to share analysis results in clear and concise manners.
• Proficiency in both Mandarin and English (both verbal and written).

Preferred Qualifications:

• Experience in retail / E-commerce industries.
• Experience in growth marketing and CRM function. 
• Master’s degree in business analytics, data analytics, data science or equivalent experience.
• Experience in data ETL and data engineering.
• Experience in AWS or GCP.
• Strong English skills (both verbal and written).

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have

submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview  

As the Senior Manager of Data Analytics, you will lead the intelligence engine for Coupang Taiwan’s Post-Purchase Experience, CS & Fraud. You will transform massive datasets into actionable strategies that reduce return defects, fraud, optimize customer service efficiency, and identify opportunities to improve return customer experience. You will lead a team of analysts to bridge the gap between "what happened" and "what we should do next."

What You Will Do 

• Strategic Insights: Lead the end-to-end analytics for the Returns and CS lifecycle. Identify root causes for high return rates (e.g., sizing issues, logistical damage, or fraud) and propose data-backed solutions.

• Predictive Modeling: Develop and oversee models to predict return propensity and customer lifetime value (CLV), helping the business proactively manage risk.

• Performance Measurement: Define and own the "North Star" metrics for the Taiwan CS organization, including First Contact Resolution (FCR), Net Promoter Score (NPS), and Cost per Contact.

• Stakeholder Influence: Act as a strategic partner to the PPE (Process, Policy & Engineering) and Logistics teams, using data to influence the product roadmap and operational SOPs.

• Team Leadership: Mentor and scale a team of high-performing data analysts, fostering a culture of technical excellence and business-first thinking.

• Dashboarding & Automation: Transition the organization from manual reporting to real-time, automated BI solutions (Tableau/Looker) that empower regional leads

Basic Qualifications  

• Experience：8+ years in Data Analytics, Business Intelligence, or Data Science (E-commerce or FinTech preferred).
• Technical Stack：Expert proficiency in SQL and Python/R. Deep experience with Tableau, PowerBI, or Looker, Prompt engineering, usage for LLMs for analytics.
• Statistical Skills：Strong grasp of A/B testing, regression analysis, and hypothesis testing.
• Leadership：3+ years of experience managing direct reports and leading cross-functional projects.
• Communication：Ability to translate "data-speak" into executive-level narratives in both English and Mandarin.

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​