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 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.

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

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

As a Senior Backend Engineer on the Backend team in our Taipei Office, you’ll play a vital role in building the foundational systems that power content understanding for the entire organization. You will create the robust backbone that enables every team to leverage Generative AI. You will operate with the agility of a startup to deliver powerful, scalable solutions and directly shape how the company innovates with AI.

To thrive in this role, you'll need:

• 7+ years of hands-on coding experience in Java or similar object oriented programming languages.
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, applications programming and multi threading programming.
• Experience with SQL and No-SQL, ex: MySQL, Vertica, Cassandra, Google BigQuery.
• Experience with common frameworks: Spring, Maven, Kafka, Apache Spark.
• Proven experience in building and managing data pipelines and distributed systems.
• Thorough understanding of backend integration concepts and technologies such as API, web services, message queuing, and security practices.
• Quick and self-motivated learner with strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills and the ability to work collaboratively in both team and cross-timezone environments.

Bonus points if you have:

• Well understanding of common design patterns and engineering best practices.
• Familiarity with containerization and orchestration technologies like Kubernetes and Helm.
• Experience with workflow automation tools like Apache Airflow.
• Knowledge of CI/CD tools such as Jenkins.
• Familiarity with modern development practices such as Agile methodologies and DevOps principles.

How you'll make an impact:

As a Senior Backend Engineer, you will:

• Technical Leadership: Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems.
• Hands-On Excellence: Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
• Strategic Scalability: Driving the technical strategy for building highly scalable and reliable solutions to process massive datasets and ensure system stability.
• Democratizing AI: You will architect the centralized access layer that allows every service in the organization to integrate with Large Language Models safely and efficiently.
• Powering the Content Engine: You will own the high-throughput content data infrastructure that ingests, processes, and serves the fundamental data powering our recommendations.
• Automating Quality: You will co-own the pipelines responsible for automated Ad Quality, ensuring millions of recommendations meet strict safety standards without human intervention.
• End-to-End Ownership: You will take full responsibility for the lifecycle of your services—from initial architectural design and hands-on coding to deployment, monitoring, troubleshooting, handling incidents and ensuring production reliability.

Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. 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: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of 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 and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of 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

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/

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

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.   

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 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/​ 

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) 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. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

What you will do

• Design, build, and maintain backend services and data platform components.

• Develop and optimize streaming and batch data workflows.

• Improve reliability and operability (monitoring, alerting, incident prevention/recovery).

• Improve data quality and consistency through schema/contracts and validation mechanisms.

• Diagnose and resolve production issues across service and data layers.

• Drive performance and cost optimization initiatives for large-scale workloads.

• Collaborate across teams to deliver roadmap milestones.

• Mentor engineers and contribute to engineering standards and review culture.

About you

[Minimum qualifications]

• 6+ years of software engineering experience in backend/data-intensive systems.

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

• Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).

• Experience operating services/pipelines in cloud production environments (GCP preferred).

• Solid understanding of reliability practices: observability, on-call, incident response.

• Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

• Experience with data governance (lineage, access control, PII handling).

• Experience with identity/profile systems (entity resolution, merge logic).

• Experience with FinOps/cost optimization for platform workloads.

• Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

Why join us

• Work on high-impact, business-critical data backend systems.

• Own real production outcomes across scale, quality, and cost.

• Collaborate with strong cross-functional teams in AI + data.

• Grow technical leadership while staying hands-on.

Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-AK1

【 About the role 】
We are looking for a Senior Analytics Engineer to join our centralized data team and take ownership of domain-level data modeling, metric standardization, and dashboard delivery that power both product innovation and business growth.

You will collaborate closely with engineers, product managers, and data scientists — actively participating in product development scrums — and will play a critical role in designing data instrumentation, enabling trustworthy insights, and scaling decision-making infrastructure.

【What You’ll Do 】

• Design and maintain tracking plans across our data ecosystem, including naming conventions, event schemas, and user properties.
• Build and maintain data pipelines in Databricks using Python, Spark, SQL with Delta Live Tables (DLT).
• Define, implement, and document core business metrics (e.g. churn, MRR, engagement, conversions) at the data model layer.
• Own and develop Tableau dashboards, delivering clear and actionable insights to business and product stakeholders.
• Collaborate with Data Scientists to integrate model outputs (e.g. churn scores, segmentation) into production-ready datasets and reporting.
• Support self-service analytics and ensure consistency and clarity in metric definitions.
• Leverage AI tools (e.g. ChatGPT, GitHub Copilot, or internal automation) to enhance productivity and improve modeling workflows.
• Ensure data quality, governance, and documentation across all owned datasets and dashboards.

【 Who you are 】

• 3+ years in an Analytics Engineer, Data Engineer (analytics-focused), or BI Engineer role.
• Hands-on experience of building data pipelines on Databricks or Spark environments with Python.
• Knowledge of ELT process patterns, Dimension modeling, and Medallion architecture.
• Strong SQL and experience building and maintaining gold-level datasets.
• Experience designing and maintaining Tableau dashboards for cross-functional teams.
• Comfortable working directly with engineers on event instrumentation and data validation.
• Familiarity with Mixpanel, Braze, or similar event-based tools (Segment, Amplitude, etc.).
• Able to translate business questions into data products, and ensure consistent metric definitions.
• Interest in leveraging AI tools to optimize data development and analysis workflows.
• Strong problem-solving skills and attention to detail.
• Ability to manage multiple projects simultaneously and prioritize effectively.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

【Benefits】

• Flexible Time-off; work hard and take time off when you need it
• Flexible working hours and work-from-home when needed
• Medical insurance and free yearly health checkup
• Yearly health checkup subsidy for your pets
• 2 free Furbos for each full-time team member
• Company trip and employee outing program
• Internal workshop and external training subsidy for you to expand your skill set and continuously learn and grow.

【 Perks 】

• The rare opportunity to work with an international team from Taiwan HQ and make impact on a global scale
• Join a group of talents who have passion to change pet parents and pet's lives through technology
• The freedom to voice yourself in an open, trusting and transparent working environment
• Quarterly all-hands meetings to update entire organization on company goals, strategic directions and the opportunity to openly ask questions/give feedback
• Bring your fur babies to work in a pet-friendly office space designed to make your pet feel relaxed and comfortable
• Join our volunteer program. We are passionate about giving back to society.
• Various club activities to cultivate interests and have fun with Tomofuners after work!
• A LOT of free snacks and drinks for humans and furkids!
• Comfortable and creative office with kitchen, sofa, and quiet areas. Everyone can find their ideal place to work!
• Afternoon tea time twice a month and monthly birthday parties. We celebrate all the happy moments together.

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) 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

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 5+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Experience working with ClickHouse is a big plus
• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) 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

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 2+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Experience working with ClickHouse is a big plus
• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#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.

Visit www.appier.com for more information.

About the role

Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines.  

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.

After the internship, there is an opportunity to transition from an intern to a full-time position.

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

Responsibilities

• Developing and operate scalable, reliable and maintainable service-based software and related components.
• Improve the scalability and observability of the system.
• Proposing and prototyping solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components.
• Improving system quality with test automation and related toolings.  
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• Currently pursuing a degree in Computer Science or a related technical field.
• Proficient in building web services on a Linux platform.
• Strong skills in at least one of the following programming languages: Python, Go or Java.
• Solid understanding of Network API Design principles (e.g., REST or GraphQL).
• Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).
• Minimum familiarity with Git version control and the ability to perform basic Git operations.
• Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.
• Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions.
• A collaborative team player who is also capable of independent work.
• Proactive with strong interpersonal and problem-solving skills.

• Bachelor’s degree in Computer Science or a related field.
• Proficient in performance profiling and debugging tools.
• Experience in developing high-performance network services on Linux.
• Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.
• Familiarity with HTML and JavaScript.
• Experience with Nginx and HAProxy.
• Knowledge of Docker and Kubernetes, including experience using these tools.
• Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.
• Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.
• Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).
• Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.
• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

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 are looking for Data Scientists in Taiwan that will be part of our data science team. You will work closely with Machine Learning Scientists, Engineers, and other product related roles to perform data analytics for achieving Appier’s product and business goals.

Responsibilities

• Drive initiatives and experimentations in Ad Cloud product (e.g., enhance the efficiency to deliver ads to end users in real-time-bidding scenarios). 
• Evaluate and define product and business metric framework.
• Build key data sets/pipelines to empower operational and exploratory analysis.
• Conduct data analysis reports to illustrate the results and insight (dashboards, reports)

About you

[Minimum qualifications]

• 5+ years of industry experience in the data analytics area.
• Can write efficient Python scripts for data analysis and job automation.
• Statistics knowledge and skills, using SQL to do basic data extraction and aggregation. 
• Sufficient know-how of machine learning and basic experience of using machine learning tools.
• Fluent in Pandas or PySpark.
• Good analytical skills to extract meaningful insights from the data.
• Ability to communicate data analysis insight to audiences with different backgrounds.
• Proficient oral and written communication skills in English.

 [Preferred qualifications]

• Working experiences in digital advertising industries.

#LI-RL1

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 are looking for a Senior Software Engineer, Machine Learning 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 help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.

What You’ll Work On

• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation.
• Design and monitor data infrastructure using PostgreSQL and other databases.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with ML scientists to turn research outputs into user-facing product features
• Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products

What We’re Looking For (Minimum)

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards.
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
• Experience in cross-functional collaboration and leading projects 
• 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

What We’re Looking For (Preferred)

• Industry experience in the MarTech domain, with a strong passion for building customer-centric products
• Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Familiarity with distributed computing frameworks (e.g., Apache Spark)
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

#LI-AK1

About Appier

Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.

About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.

In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.

What You’ll Do

• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.

• Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.

• Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.

• Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.

• Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.

• Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.

• Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.

• Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.

• Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).

• 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.

• Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.

• In-depth experience with cloud environments (AWS or GCP) and cloud-native service management.

• Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.

• Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops.

• Familiarity with Git workflows and Linux-based development environments.

• Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.

What Will Set You Apart

• Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.

• Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.

• Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.

• Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.

• Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.

• Familiarity with real-time online inference architectures and batch processing trade-offs.

• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

• Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).

Why Join Appier?

At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!

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