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 Machine Learning Scientist (LLM & Agents) 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

• You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
  • Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth.
  • Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
  • Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
• Collaborate with product teams to translate product requirements into well-defined machine learning problems
• Work with ML engineers to deploy models into production environments 
• Conduct offline and online evaluation, monitoring, and continuous optimization 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
• Experience in machine learning, LLM, or software engineering through research, internships, projects, or industry work
• Experience or strong interest in LLM / agentic application development, including:
  • Skills / tools / function calling 
  • AI Protocol (MCP / A2A)
  • Workflow orchestration
  • Benchmark evaluation
• Strong analytical and problem-solving skills, with passion for learning cutting-edge technologies
• Impact-driven mindset with analytical and problem-solving skills, and passion for learning cutting-edge technologies
• Familiarity with AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot

What We’re Looking For (Preferred)

• Strong focus on quantitative metrics and systematic evaluation
• Industry experience in MarTech and passion for building customer-centric products
• Familiarity with agentic product development concepts such as:
  • Context engineering
  • Harness engineering
  • Evaluation / testing workflows
  • Human-in-the-loop workflows

#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 are looking for a Senior Machine Learning Scientist (LLM & Agents) 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

• You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
  • Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth
  • Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
  • Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
• Collaborate with product teams to translate product goals and business requirements into well-defined machine learning problems
• Work closely with ML engineers to deploy models into production environments with reliability and maintainability
• Conduct offline and online evaluation, monitoring, and continuous optimization after deployment
• Stay up to date with the latest research and proactively propose innovative applications
• (Optional) Mentor junior scientists and help evolve team developing culture and standards.

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 in machine learning or engineering roles
• Experience designing, developing, and deploying enterprise LLM / agentic applications, including but not limited to:
  • Skills / tools / function calling 
  • AI Protocol (MCP / A2A)
  • Workflow orchestration
  • Benchmark evaluation
• Experience collaborating across functions and leading industry projects
• Impact-driven mindset, strong analytical and problem-solving skills, and 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)

• Strong focus on quantitative metrics and systematic evaluation
• Industry experience in MarTech and passion for building customer-centric products
• Hands-on experience agentic product development, including
  • Context engineering
  • Harness engineering
  • Evaluation / testing workflows
  • Human-in-the-loop workflows

#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.

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
As a Compliance Policy Intern at Appier, being positioned under Infosec team, you will support the Senior Compliance Program Manager in monitoring global regulatory trends, managing internal documentation, and ensuring business’ adherence to international data and AI regulations, as well as industrial standards. You will play a key role in tracking the evolving landscape of AI governance and data privacy across multiple jurisdictions.

Responsibilities

• Regulatory Research & Tracking: Monitor and provide weekly news briefs on international data laws and AI governance trends across regions including the EU, US, Japan, Korea, Singapore, Hong Kong, Vietnam, and the Philippines.
• Policy Analysis: Research specific legislative developments, such as the EU AI Act, US Executive Orders, and California state bills (e.g., SB 1047, AB 1018), and summarize their implications for the company.
• Managing the data subject request mechanism: Support compliance function by managing contract review tickets and data subject request (DSR) tickets within internal systems, including tracking of incoming mails and response to those requests via internal systems.
• AI & IP Governance:  Research copyright compliance policies related to AI-generated works.
• Security questionnaire: Use AI tools such as NotebookLLM or Claude to fill out security questionnaires from clients and partners

About you

• Legal & Regulatory Interest: A strong interest in international data privacy laws (GDPR, PDPA) and emerging AI regulations (EU AI Act/ Korean Basic AI Act).
• Analytical Skills: Ability to synthesize complex legal updates into concise briefings and comparison tables.
• Bilingual Proficiency: Ability to work with both English and Mandarin legal texts and draft notes in both languages.
• Capacity in Japanese or Korean is a plus
• Capacity to use AI tool such as Clause code also a plus
• Attention to Detail: Experience in managing high volumes of documentation and tracking tickets accurately.
• Research Ability: Proficient in conducting deep-dive research into case law (e.g., Thomson Reuters v. ROSS) and official government guidance.

#LI-RL1

【工作內容】

- 協助企業盡職調查之資料蒐集(會頻繁利用英、日文進行關鍵字搜尋及閱覽文件)

- 協助法務部門日常行政與文書作業（如：合約查詢、文件寄送、歸檔及其他主管交辦事項）

- 每週排班時間16-20個小時（每週到班3-4天）

- 可長期配合工讀者優先考慮 

【徵求條件】

- 對時事、新聞、刑事犯罪、金融、科技、法律等議題具備一定敏感度，願意投入時間探索

- 具日文能力者(JLPT N2或以上)為佳

- 特質：細心耐心、認真負責，且常保好奇心

- 不需具備法律相關科系背景

- 上班時段可彈性協調

Job Description

• 協助財務部門處裡財會業務(e.g傳票整理 / 發票整理&抽核 / 應收付帳款沖銷等 / 付款發票金額核對)
• 處理其他主管交辦事項
• 一週需可排班至少20小時
• 會計/商科等相關科系背景尤佳, 需要細心、負責、主動學習
• 可長期配合八個月以上尤佳
• 歡迎一般求職者，日/夜間在學生

Qualification

• 熟悉Excel (Windows Office)
• 中、英文閱讀能力佳
• 有耐心，可接受大量文字閱讀
• 上班時段可彈性協調

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

Frontend engineers at Appier focus on handcrafting sophisticated web UI using cutting-edge front-end development technologies / tools. We work closely with UI/UX designers and backend engineers and deliver high-quality, fluent and elegant web applications to our enterprise customers, or to aid daily operations within Appier.

 [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Responsibilities

• Design & develop front-end architecture & interactive user interfaces
• Work closely with backend engineers to integrate services, and contribute to building lightweight RESTful APIs when necessary to support frontend functionality
• Ensures the flexibility of front-end architecture and the high performance of responsiveness
• Build reusable code and UI design systems for cross-product consistency and scalability
• Write unit, integration, and end-to-end tests to ensure code quality
• Perform code reviews to ensure existing code stay high-quality, fast, and flexible
• Handle and resolve issues escalated from the production operational environment
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products

About you

[Minimum qualifications]

• 3+ years of experience in software development
• Good knowledge of HTTP, CSS, modern JavaScript (ES6+ / ECMAScript 2015+), TypeScript, HTML, DOM, and web standards
• Respect coding convention, language standard syntax, documentation
• In-depth knowledge of front-end frameworks and technologies (e.g., React.js, Vue.js) and their ecosystems.
• Proactive, good interpersonal and problem-solving skill
• Self-motivated, proactive, and a strong team player
• Solid understanding of version control (Git) and CI/CD workflows
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) to accelerate coding, debugging, and refactoring. Familiarity with these tools is expected as part of our team’s daily development workflow.
• Passion for clean code, scalability, and performance, curious about new technologies and enthusiastic about developer experience
  
  

[Preferred qualifications]

• Familiarity with modern build tools and bundlers (e.g., Babel, Webpack, Vite, Rspack, esbuild, etc.)
• Experience in CSS Pre/Post-processors (PostCSS, SASS or LESS) or modern CSS solutions (e.g., CSS Modules, Tailwind CSS, Styled Components).
• Experience in Node.js, Python, GraphQL, and integrating with various backend services and databases (e.g., MySQL, MongoDB)
• Experience with testing frameworks such as Jest, React Testing Library, Vitest, or Playwright
• Experience building or integrating SDKs or capable of developing across multiple browsers, platforms
• Experience in web performance optimization
• Familiarity with micro-frontend architecture
• Experience with data visualization

#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

Frontend engineers at Appier focus on handcrafting sophisticated web UIs and ad content using cutting-edge front-end development technologies and tools. We collaborate closely with designers and backend engineers to deliver high-quality, smooth, and elegant web applications for the advertising domain as well as support daily operations within Appier.

 [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

 Responsibilities

• Design and develop reusable advertising UI components (e.g., banners, video ads) and supporting systems using modern JavaScript frameworks and AI-powered tools.
• Build and maintain a modular JavaScript library or SDK to ensure scalable, consistent, and easily integrated ad rendering and tracking.
• Optimize ad content performance through efficient loading strategies and responsive design.
• Develop integrations with external SSP platforms, ensuring compliance with technical standards.
• Implement and manage analytics tools to monitor user interaction and ad effectiveness, delivering actionable insights.
• Participate in brainstorming sessions, contributing innovative technical solutions across UI/UX, algorithms, and product development.
• Utilize AI-powered development tools (e.g., GitHub Copilot, Tabnine, Cursor) to enhance coding efficiency and maintain code quality.

About you

[Minimum qualifications]

• Solid understanding of HTML, CSS, JavaScript, TypeScript, DOM, HTTP and web standards.
• Knowledge of modern front-end frameworks like React, Vue, Svelte.
• Experienced in integrating with REST APIs and GraphQL
• Experienced with bundler: Vite, Webpack, esbuild, and Rollup.
• Familiarity with Git for version control.
• Experience ensuring cross-browser compatibility.
• Practice coding conventions, syntax standards, and thorough documentation.
• Shows initiative and strong interpersonal skills in problem-solving.
• Ability to work effectively both independently and as part of a team.

[Preferred qualifications]

• Explores and shares insights on AI tools like GitHub Copilot, Tabnine, Cursor, and AI-driven testing to enhance front-end development and code quality.
• Experienced with meta frameworks like: Next.js, Nuxt.js, SvelteKit.
• Experienced with CSS-in-JS, PostCSS, SASS, and Tailwind CSS.
• Skilled in Jest, React Testing Library, Cypress, and Playwright for testing.
• Experienced in web performance optimization using Core Web Vitals, Lighthouse, WebPageTest, and Chrome DevTools.
• Experienced in debugging on any web environments like webview or browser.
• Experienced in server-side JavaScript runtime: Node.js, bun, deno.
• Experienced with relational databases or NoSQL databases.
• Familiar with CI/CD tools (GitHub Actions, Jenkins, Bitbucket) and Docker.

#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 Product Manager who combines sharp product instincts with real software engineering fluency to own and drive complex, multi-system SaaS products within Appier's Ad Cloud platform.

You will be responsible for defining, designing, and shipping products that span multiple backend systems, API integrations, and cross-functional stakeholders. This isn't a wireframe-and-handoff role, you'll write functional specs with API-level precision, navigate system-of-record ownership across 5+ services, and make architectural trade-off decisions alongside engineering leads.

You'll also be expected to leverage modern AI agent tools (Claude Code, Cursor, Copilot, LLM-based automation) as a core part of your PM workflow, from rapid prototyping of product specs and whitepaper-grade documentation, to data analysis and stakeholder communication. We believe PMs who can wield AI tools effectively operate at 3-5x the output of those who don't.

What You Will Do

Product Design & System Architecture [Core]

- Own the end-to-end product lifecycle for complex SaaS modules that orchestrate across multiple dependent systems (e.g., creative management, tracking, campaign operations, entity hierarchies)
- Author whitepaper-grade product design documents that cover system context maps, interoperability flows, entity hierarchies, state machines, and functional matrices, with enough precision for engineers to implement without ambiguity
- Define system-of-record ownership, API contracts, and data flow directions across multi-system architectures
- Make scope and trade-off decisions across milestones, balancing feature completeness against release velocity

Technical Specification & Execution [Technical]

- Write functional specifications at the API-level: request/response payloads, error handling contracts, idempotency requirements, and cascade/inheritance rules
- Define status matrices with explicit state transitions, ownership boundaries, and cross-system sync behaviors (one-way sync vs. bidirectional, lock/unlock mechanisms)
- Decompose large product initiatives (70+ features) into staged delivery plans with clear dependency graphs, checkpoint gates, and decision trackers for blocking items
- Work directly with engineering teams on implementation trade-offs, you read code, understand database schemas, and can evaluate technical proposals on their merits

AI-Augmented Product Management [AI]

- Use AI agent tools (LLM coding assistants, AI research agents, prompt-driven automation) as daily productivity multipliers for spec writing, competitive analysis, data modeling, and stakeholder communication
- Evaluate how AI/LLM capabilities can be embedded into the product itself, identifying where intelligent automation, content generation, or predictive features create user value
- Prototype product concepts rapidly using AI-assisted development tools, reducing the spec-to-prototype cycle from weeks to days

Cross-Functional Leadership [Leadership]

- Serve as the central product authority across engineering, design, customer success, and sales teams, translating business requirements into precise technical specifications and vice versa
- Drive decision-making on blocking items by framing trade-offs clearly, proposing options with pros/cons, and driving resolution with stakeholders
- Manage product rollouts with permission controls, feature gating, and phased go-live strategies for internal and external users

What You Will Need

[Minimum qualifications]

• Experience: 2-5 years as a Product Manager, Technical PM, or Software Engineer transitioning to product, with a track record of shipping multi-system SaaS/AI-native products
• Engineering Fluency: Solid software development background, you can read and reason about code (any language), understand REST API design, database schemas, state machines, and system architecture diagrams. Prior hands-on engineering experience is strongly preferred
• Spec Quality: Demonstrated ability to write precise technical specifications, not just user stories, but API contracts, entity relationship models, status transition matrices, and interoperability flow diagrams
• Scope Management: Experience with complex product decomposition, breaking down a 50+ feature scope into staged milestones with dependency tracking, decision logs, and blocking item resolution
• AI Tool Fluency: Working fluency with AI/LLM tools, you actively use AI coding assistants, LLM-based research tools, or prompt engineering in your daily workflow. You understand what these tools can and cannot do
• Communication: Excellent communication skills in both English and Mandarin, with the ability to produce clear written artifacts (whitepapers, PRDs, playbooks) that serve as single-source-of-truth references for cross-functional teams
• AI Agent Frameworks: Hands-on experience with modern AI agent frameworks (Claude Code, Cursor, Codex ect) or building AI-powered product features

[Nice to have]

• Background in AdTech, MarTech, or enterprise SaaS platforms with multi-tenant architectures
• Experience managing products that involve third-party system integrations and API partnerships
• Familiarity with Agile/Scrum delivery, but comfort operating in a hybrid model where staged milestone planning coexists with sprint-level execution

Appier is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#LI-AK1

Job Description

• 統籌海內外辦公室租約及辦公室保險維護管理
• 審核每月租金發票與請款
• 提供海外員工辦公需求支援
• 員工差旅安排及請款
• 廠商關係維護
• 支援其他行政工作事項

Qualification

• 具備 2~3 年以上相關行政經驗，具備跨國行政支援經驗者佳
• 中英文溝通能力，能處理海內外窗口對接
• 精通 Google Workspace (Docs, Sheets, Slides, Calendar) 等協作工具
• 具備 AI 工具 (如 ChatGPT, Gemini) 應用經驗

#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}

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 

We’re hiring Product Builders to shape the future of marketing for agents — where AI agents are no longer tools, but active participants in how products are built, decisions are made, and value is delivered.

AI agents are fundamentally reshaping:

• how products are built (AI-native, faster, more iterative)
• how marketing flows work (agent-driven discovery, decisioning, and execution)
• how brands and customers communicate (from campaigns → conversations → autonomous interactions)

This shift unlocks a new wave of opportunities — to redesign workflows, reimagine user experiences, and build entirely new product categories.

This is not a traditional PM / designer / engineer / GTM role.

You’ll operate as a builder at the frontier, using vibe coding, AI tools, and rapid prototyping to explore and ship products in this emerging space. You won’t just define what to build — you’ll build, test, and evolve it.

What you’ll do

Build, not just define

• Design and ship products — where agents discover, decide, and act on behalf of users.
• Ship fast, learn fast — iterate based on simulation or real usage.

Own problems end-to-end

• Identify meaningful problems worth solving (clear “why this matters”).
• Drive from discovery → prototype → launch → iteration → scale.

Operate with high agency

• Don’t wait for perfect clarity — create momentum, test hypotheses, and move forward.
• Take ownership of outcomes, not just outputs.

Redesign how brands and customers interact

• Explore new interaction models: agent-to-agent, human-in-the-loop, and autonomous workflows.
• Reimagine marketing workflows as agent-driven systems, not static funnels.

Focus on what truly matters

• Identify the core 1–3 things that make the product valuable, and execute them exceptionally well.
• Avoid overbuilding — prioritize signal over noise.

Collaborate to ship impact

• Work closely with engineering, design, data, and GTM as co-creators.
• Continuously refine based on real-world feedback and data.

What we’re looking for

We’re looking for experienced, high-agency product builders who thrive in new, undefined spaces.

Core traits

• Builder mindset: you ship, iterate, and learn quickly.
• High agency: you don’t wait — you create momentum.
• Strong product taste: you know what good looks like and push toward it.

Experience

• 3–8+ years in product, engineering, startup, or builder roles.
• Experience shipping products end-to-end (0→1 or 1→n) with multiple showcases, with learning and problems to share.
• Exposure to AI-native products, LLMs, or automation is required.

Skills

• Comfortable operating in ambiguity and fast-changing environments.
• Hands-on with prototyping (no-code, low-code, or code).
• Strong prioritization and product judgment.

Mindset

• You believe the future is being built now — and you want to build it.
• You learn by doing, not waiting.
• You care about real customer impact.

Bonus points

• Experience with AI agents, agent workflows, or automation systems
• Familiarity with marketing automation, CRM, or customer engagement platforms
• Experience with building AI products
• Background in startups or 0→1 product environments
• Technical background (engineering, data, etc.)

Why join us?

We’re at the start of a major shift: From marketing to users → marketing for agents. The way products are built, how decisions are made, and how brands interact with customers is being rewritten — and we’re building at the center of it. This means:

• New product categories
• New interaction models
• New ways to drive ROI

There are countless opportunities to create value for our customers in this wave — and we’re looking for builders to explore and capture them.

What success looks like in the first 6 months

• You’ve shipped multiple prototypes or products in the marketing-for-agents space with business impact
• You’ve identified and validated at least one high-impact opportunity in this new paradigm
• You’re operating as a trusted builder, turning ideas into real outcomes
• You’ve helped redefine how agent-driven marketing workflows should work
• Your work has contributed to shaping Appier’s direction in AI agents and agentic marketing

#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.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

#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 Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

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

#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

AI is reshaping how brands connect with consumers — and at Appier, we’re at the forefront. Our Playable Ads team builds AI-powered ad experiences — from interactive playable formats to video ads — that drive dramatically higher engagement and conversion for the world’s leading apps and games. We’re looking for a Senior Machine Learning Scientist to push the boundaries of what’s possible — applying cutting-edge ML, generative AI, and optimization techniques to create smarter, more compelling ad creatives at scale.

If you’re excited about turning the latest advances in AI into products that reach millions of users, and you thrive at the intersection of research and real-world impact, we’d love to talk.

What You’ll Work On

• Apply ML and generative AI techniques to problems such as creative optimization, user behavior prediction, engagement modeling, and dynamic content generation for various creative formats.
• Own the end-to-end ML lifecycle — from problem framing and experimentation through to production deployment and continuous improvement.
• Collaborate closely with product, engineering, and design teams to translate business goals into well-defined ML solutions.
• Conduct offline and online evaluation, A/B testing, and performance monitoring to continuously improve model quality and business impact.
• Stay current with the latest research in areas like LLMs, multimodal models, reinforcement learning, and recommendation systems, and proactively propose innovative applications to the team.
• Mentor fellow scientists and contribute to the team’s technical standards and culture.

What We’re Looking For

[Minimum qualifications]

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.
• Solid understanding of modern ML models and algorithms, with hands-on experience in at least one area such as prediction/optimization, generative models, recommendation systems, computer vision, or reinforcement learning.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• Practical experience taking ML models from prototype to production, including pipeline development and performance monitoring.
• Strong analytical and problem-solving skills with the ability to diagnose model behavior and improve training pipelines.
• Clear communicator who can explain technical ideas to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.
• Ability to balance cutting-edge research with time-to-market constraints, delivering iterative PoCs that validate product hypotheses and translate into production-ready solutions.

[Preferred qualifications]

• Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, KDD, RecSys).
• Experience in the advertising technology or MarTech domain.
• Contributions to open-source projects or active involvement in research communities.

#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 Program Manager with sharp business acumen and a structured approach to problem-solving to drive the adoption and scaling of AI Agentic Workflows across the enterprise.

In this role, you will serve as the critical bridge between business units and engineering teams — diving deep into operational pain points across departments, decomposing complex manual processes into structured logic that AI Agents can execute, and establishing standardized frameworks that maximize operational efficiency and AI transformation value. You won't just manage projects; you'll be the engine behind the organization's AI-driven evolution.

What You Will Do

Process Translation & Skill Definition

• Conduct in-depth interviews and process observations across business functions (including but not limited to Finance, HR, and Sales) to decompose existing human workflows into structured, executable logic
• Author functional specification documents and execution logic for AI Agent Skills, ensuring AI Agents can accurately interpret and perform assigned tasks with measurable outcomes

Framework Implementation & Standardization

• Evaluate and leverage existing AI Agent frameworks and tooling to establish internal AI application standards and best practices
• Work closely with engineering teams to implement defined Agent Skills and ensure seamless integration into each department's day-to-day operations and existing systems

Cross-functional Communication & Change Management

• Act as the central communication hub between engineering and business stakeholders, bridging the gap between technical language and business logic
• Proactively identify and remove organizational and technical blockers throughout the transformation journey, ensuring AI solutions genuinely address real business needs

Value Measurement & Continuous Optimization

• Define clear AI transformation success metrics (KPIs / OKRs), such as labor hour savings, reduction in process error rates, and throughput improvements
• Build data tracking mechanisms and iteratively refine AI execution logic based on real-world feedback from business users, maximizing the return on AI investment

About you

[Minimum qualifications]

• Bachelor's degree or above in Information Management, Business Administration, Project Management, or a related field, with 3–5 years of experience in digital transformation, software project management (PM), or business analysis (BA)
• Strong ability to map processes and break down complex, ambiguous business requirements into clear, actionable system-level steps
• Working knowledge of Generative AI and Large Language Models (LLMs), including an understanding of their capabilities, limitations, and concepts such as Prompt Engineering and AI Agents
• Excellent cross-functional communication, negotiation, and stakeholder management skills, with a proven track record of driving organizational change

[Nice to have]

• Hands-on experience leading or contributing to AI product deployments or process automation (RPA) projects with demonstrable results
• Familiarity with common AI Agent frameworks (e.g., LangChain, AutoGen, CrewAI) or a foundational understanding of API integration
• PMP certification or practical experience working in Agile / Scrum environments
• A technical background or the ability to read basic code, enabling more effective collaboration with engineering teams

Appier is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#LI-AK1

Purpose of the Role

We are looking for a Senior Product Designer to lead end-to-end product design for next-generation Agentic products. You will translate complex user problems into intuitive, scalable design solutions, rapidly prototype ideas (including via vibe coding), and collaborate closely with Product Managers and Engineers to deliver high-quality experiences.

Responsibilities

• Own end-to-end product design from problem to delivery
• Translate user pain points into design requirements, flows, and UI
• Design AI/agentic experiences (human–AI interaction, automation workflows)
• Create rapid prototypes (vibe coding / AI tools) to validate ideas
• Conduct design validation (testing, iteration, feedback loops)
• Perform competitor research and inform product direction
• Collaborate with PMs & Engineers to ensure feasibility and quality
• Present design with clear rationale, evidence, and structured thinking
• Maintain high-quality, well-organized Figma files and design systems

Qualifications

• 3+ years in product design (B2B/SaaS preferred)
• Strong ability to turn user insights into structured design solutions
• Experience with AI/agentic products
• Skilled in rapid prototyping (AI tools / code-based prototyping)
• Strong in design validation and iteration
• Excellent cross-functional collaboration (PM, Engineering)
• Highly organized in Figma
• Proficient in English (speaking, writing, listening)
• Open-minded, detail-oriented, and ownership-driven

#L1-RL

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

The primary role of the Campaign Analyst is to be the Strategic Pilot of AI – turning AI into ROI.

Responsibilities

• Manage and execute ad campaigns with Appier proprietary AI platform and products.
• Plan and manage multinational advertising campaigns, formulate localized advertising strategies.
• Analyze data and campaign performance, configure automated optimization processes, conduct experiments, ensuring client’s KPIs are met with precision and speed.
• Co-work with sales managers, account managers, product managers, data analysts and on various optimization-related projects.
• Adjust and improve the effectiveness of AI models. Improve overall performance of the system.
• Provide historical data and estimation of performance for the business development team. Assist the development of new customers.

Who you are:

• AI & Tech Enthusiast: Tech early adopters. Loves exploring new AI tools to work faster and smarter. Always looking for ways to improve efficiency.
• Detail-Oriented: Ensures zero-error campaign execution while applying numerical sensitivity to spot anomalies, data discrepancies, and granular insights that others might miss.
• Hands-On & Proactive: Possesses a strong "can-do" spirit. Approaches challenges with a positive, hands-on mindset, actively seeking solutions rather than waiting for instructions.
• Cool Under Pressure: Stays calm in a fast-paced environment; can focus and deliver results even when things get busy.
• Proactive Problem Solver: Good at critical thinking and able to apply systematic problem-solving processes to achieve success.  
• Data-Driven Mindset: Rapidly adapts to new tools and methodologies, using a quantitative approach to analyze, learn, and present results.

What you need: 

• 1+ years working experience. RTB/Programmatic buying experience a plus.
• Passion for digital advertising and/or game-changing technology.
• Eagerness to work in a start-up team environment that will be rapidly changing.
• You can use Excel and you’re not afraid of Pivot Tables.
• Flexibility to occasionally work at odd hours when necessary (from home).
• This role needs to work on the weekend shift (once per month).
• Minimum BA/BS University degree or related experience.
• Business level fluency in English (TOEIC 750+, GEPT High-Intermediate level, TOEFL 90+, IELTS 6.5+).
• Exposure to digital ad serving concepts (CPM/CPA/RTB/ROI), video, mobile, and social media is a plus.

Preferred Qualifications:

• AI Productivity Tools: Familiar with Generative AI tools (e.g., Gemini, ChatGPT, Copilot), Prompt Engineering, or other newly developed tools to speed up daily workflows.
• Automation Mindset: Experience with automation tools (e.g., Zapier, n8n); enjoys building workflows that run automatically to save time.
• Data & Logic: Basic knowledge of SQL, Python, or data visualization tools (e.g., Tableau, Looker) is a big plus.
• AdTech Ecosystem Knowledge: Familiarity with MMPs (e.g., AppsFlyer, Adjust, Singular) and the mobile attribution landscape.
• Structured Thinking: Experience using project management tools (e.g., Jira, ClickUp) or organizing complex SOP documentation.

#LI-CS1

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 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 Ad Cloud Bidding Team

The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount.

About the role

Software engineers (Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Staff Software Engineer, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also take responsibility for service operations – ensuring reliability, availability, and efficient deployment of large-scale distributed systems.

Responsibilities

• Engage in the design of large-scale backend systems and distributed services
• Contribute to technical roadmap and planning
• Collaborate with cross-functional teams to deliver robust and high-performance systems
• Troubleshoot production issues and contribute to root cause analysis
• Ensure high reliability through best practices in service operation, monitoring, and deployment
• Participate in on-call rotations and lead incident response when required

About you

[Minimum qualifications]

• 8+ years of experience in software development
• Proficient in modern C++ programming (C++11 and later)
• Familiar with Unix/Linux environments
• Solid understanding of system programming
• Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems
• Experience in service optimization and performance tuning
• Strong sense of ownership and good problem-solving skills

[Preferred qualifications]

• Experience in modern build systems
• Experience in operation automation tools
• Experience with monitoring, logging, and alerting frameworks
  
  

#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’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC). Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences.

What You’ll Do

• Key owner of sizable engineering projects and services within the ES REC team.
• Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery.
• Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response.
• Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub) to support high-throughput recommendation workflows.
• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity.
• Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments.
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards.
• Facilitate agile process collaborating with cross-functional teams, including Data Scientists and Product Managers.
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Profiling and performance tuning of critical components to ensure high performance and scalability.
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• 5+ years of experience in software development.
• Proficient in Python or Go.
• Ability to build web services on Linux and good knowledge of Network API Design (REST/GraphQL).
• Proactive, good interpersonal skills, and a strong interest in the MarTech (Marketing Technology) domain and customer-centric product development.
• Open-minded towards using AI tools (e.g., Copilot) to improve coding efficiency.
• Good understanding of SQL/NoSQL databases (MySQL, MongoDB, Redis, etc.).

[Preferred qualifications]

• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Helm to manage cloud resources.
• AI Agent Development: Experience in building applications related to LLMs, multi-agent systems, or RAG architectures.
• Machine Learning Engineering: Understanding of the ML lifecycle—from training and prediction to evaluation and feedback loops.
• Familiarity with LLM orchestration frameworks (e.g., Google ADK, LangChain, AutoGen) and Vector Databases.
• Experience in designing and architecting large-scale distributed systems and data-intensive applications.
• Experience with monitoring and alert systems (e.g., Prometheus, Grafana)

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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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.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

Our engineering team has a solid technical background, which would be a great environment for a skilled engineer.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 5+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

Language

Fluent in English or Chinese.

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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.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

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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.

Role Mission

As our Digital Advertising Data Analyst, you won't just be moving data—you'll be defending our revenue and driving our growth. You will bridge the gap between complex datasets and high-pressure business decisions. Whether you are uncovering a campaign's "hidden" success to secure a contract renewal or identifying sophisticated ad fraud to protect a client's budget, your insights will be the backbone of our commercial strategy.

Key Responsibilities

• Performance Optimization: Analyze real-time campaign data to provide actionable "pivot" suggestions that directly improve client KPIs.
• Sales Enablement: Build data-backed narratives and "evidence packages" that empower our sales team to win renewals and upsells.
• Fraud Defense: Develop and maintain fraud detection reports to proactively address client concerns and ensure high-quality traffic.
• Stakeholder Communication: Present findings clearly to management and clients, often in high-pressure situations where data must be the "voice of reason."

About you

To succeed in this role, you must be a power user of our primary stack:

• SQL: Expert level. Ability to write complex, performant queries across large, nested datasets.
• Python: Proficient in data manipulation (Pandas/NumPy) and automating repetitive reporting tasks.
• Tableau: Ability to build intuitive, client-facing dashboards that tell a story at a glance.
• Google Sheets: Advanced capabilities for quick-turnaround tactical analysis.

 [Preferred qualifications]

• Working experiences in digital advertising industries.

The Ideal Candidate

• Battle-Tested: You have thick skin. You can stay calm and objective when presenting data to stressed stakeholders or skeptical clients.
• Business Intuition: You understand that a 0.05% change in CTR matters to the bottom line. You don't just report numbers; you explain what they mean for the client's wallet.
• Analytical Curiosity: You don't wait to be told what to look for. You see a dip in performance and hunt for the "why" before anyone asks.

 Why This Role?

This isn't a "back-office" job. You will have a seat at the table during major contract negotiations and play a pivotal role in the company's financial health.

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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 (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 Engineer 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.
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.

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. ]

What You’ll Work On

• Assist in operating robust ML job execution frameworks for training, inference, and post-processing.
• Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features

What We’re Looking For

[Minimum qualifications]

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 2+ years of experience in ML or engineering
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity
• 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.
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

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 Ad Cloud  Serving Services Team

At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation.

Responsibilities

• Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure.
• Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem.
• Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture.
• Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs.
• Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration.
• Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation.
• Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies.
• Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services.
• Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing.

About You

[Minimum Qualifications]

• 3-5+ 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: Go, Python.
• 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) 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.
• 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 refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization.
• Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration.
• Hands-on experience with deploying and serving machine learning models in production environments.
• Exposure to ad-tech or recommendation systems is a plus.

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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, 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.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams.
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Develop and operate scalable, reliable and maintainable service-based softwares and related components.
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Python/Scala/Go/Java/C++
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experiences
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Ansible).
• Continuous integration / continuous deployment
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

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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 to turn 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 

An accelerated pathway designed to transform you into a strategic Campaign Analyst.

Responsibilities

• Facilitate Daily Operations: Provide essential support to the campaign management team to ensure smooth execution. You will gain hands-on experience in setting up and managing AI campaigns from scratch.
• Data Monitoring & Support: Collaborate with Campaign Analysts to monitor campaign performance, identifying data trends and potential issues early.
• Operational Excellence: Support the team in maintaining smooth workflows by leveraging internal tools and automation processes.
• Continuous Learning: Actively learn about the AdTech ecosystem and optimization logic to provide valuable insights for future campaign strategies.

Who you are

• Aspiring Tech Professional: Open to fresh graduates or those with limited experience, but must possess a strong ambition to build a career in the AI and Digital Advertising industry.
• Tech-Savvy Learner: Passionate about emerging technologies (including AI tools); capable of mastering new proprietary software and systems rapidly.
• Hands-On & Proactive: Possesses a strong "can-do" spirit. Approaches challenges with a positive, hands-on mindset, actively seeking solutions rather than waiting for instructions.
• Detail-Oriented: Maintains a sharp eye for accuracy. Takes pride in delivering error-free work, ensuring precise campaign configuration.
• Language Ability: Fluent in English (reading/writing); comfortable communicating effectively within an international team environment.

Preferred Qualifications:

• AI Curiosity: Familiarity with Generative AI tools (e.g., ChatGPT, Gemini) to improve personal productivity is a plus.
• Industry Knowledge: Basic understanding of digital advertising concepts (e.g., CPM, CPA, ROI) or social media platforms.
• Data Sense: Not afraid of numbers and basic Excel functions.

#LI-CS1

About Appier

Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.

About This Role

We are seeking an accomplished Sales Manager to play a pivotal role in driving our sales efforts within the dynamic field of chatbot technology. The Sales Manager will be responsible for leveraging their extensive SaaS sales experience, bilingual proficiency in English and Chinese, and a profound understanding of the chatbot industry to build and manage strategic client relationships. The ideal candidate should possess a minimum of 3 years of sales experience within the SaaS sector and exhibit an in-depth grasp of the chatbot industry landscape.

Responsibilities:

• Identify, prospect, and establish new client relationships with businesses seeking innovative chatbot solutions.
• Utilize a consultative sales approach to understand client needs, provide tailored product demonstrations, and articulate the value proposition of our chatbot technology.
• Develop and execute strategic sales plans to achieve and exceed sales targets within the assigned territory or market segment.
• Collaborate closely with cross-functional teams including marketing, product development, and customer support to ensure seamless client onboarding, implementation, and post-sales support.
• Build and maintain a strong sales pipeline through networking, cold calling, attending industry events, and utilizing other effective sales strategies.
• Conduct thorough market research to stay up-to-date with the latest trends and competitive landscape within the chatbot industry.
• Prepare and deliver compelling sales presentations and proposals that address client challenges and objectives.
• Negotiate terms and contracts with clients, ensuring mutual understanding and satisfaction.
• Provide accurate sales forecasts and reports to sales management on a regular basis.
• Act as a subject matter expert on our chatbot technology, staying current with product updates and enhancements.

Qualifications and Skills:

• Above 5 years of successful sales experience within the SaaS industry, with a track record of meeting or exceeding sales targets.
• Fluent proficiency in both English and Chinese languages, with strong verbal and written communication skills in both languages.
• Deep understanding of the chatbot industry landscape, including key players, trends, challenges, and opportunities.
• Proven ability to build and maintain strong, long-lasting client relationships.
• Exceptional interpersonal skills and a consultative sales approach, with the ability to understand client needs and tailor solutions accordingly.
• Strong negotiation and closing skills, with the ability to navigate complex sales cycles.
• Self-motivated and results-driven, with the ability to work independently and as part of a team.
• Excellent presentation and communication skills, with the ability to convey technical information to both technical and non-technical audiences.
• Willingness to travel as needed for client meetings and industry events.
• Bachelor’s degree in business, marketing, or a related field (preferred).

#L1-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 seeking a Senior Software Engineer who will primarily lead the development and evolution of the Appier Web SDK, while also contributing to frontend web UI development for enterprise-facing web applications.

This position combines deep JavaScript engineering with frontend application development. You will work on improving the reliability, performance, and extensibility of Appier Web SDK, while also contributing to frontend architecture for enterprise-facing SaaS applications. Your work will directly impact how Appier’s AI capabilities are delivered and experienced at scale.

You will collaborate closely with backend engineers, product managers, data teams, and UI/UX designers to deliver robust technical solutions that power Appier’s AI-driven products.

 [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Why This Role Is Exciting

• You will work on real-world browser challenges, performance optimization, and SDK architecture — not just UI feature implementation
• You will have meaningful ownership while collaborating with experienced cross-functional teams
• Your work will directly power AI-driven experiences embedded in enterprise websites at scale

Responsibilities

• Lead the long-term evolution of Appier’s Web SDK architecture, strengthening its scalability, modularity, and maintainability to support future product growth
• Design and refine a robust, extensible SDK foundation that can support multiple products, integration scenarios, and enterprise-scale deployments
• Continuously improve runtime performance, bundle efficiency, browser compatibility, and overall stability in diverse client environments
• Contribute to frontend application architecture for enterprise-facing web products, ensuring performance, consistency, and maintainability across shared components
• Identify technical debt and architectural risks early, and proactively implement sustainable improvements rather than short-term fixes
• Safeguard quality through thoughtful testing strategies and thorough code reviews, helping maintain a strong engineering culture
• Support production stability by investigating and resolving client-side issues when needed
• Participate in product and technical roadmap discussions to ensure the SDK platform evolves in alignment with business and platform strategy

About You

[Minimum qualifications]

• 5+ years of experience in frontend or JavaScript engineering
• Strong proficiency in JavaScript (ES6+) and TypeScript
• Deep understanding of browser internals, DOM, HTTP, web standards, and client-side performance optimization
• Experience designing or maintaining JavaScript SDKs, libraries, or shared frontend modules
• In-depth knowledge of front-end frameworks and technologies (e.g., React.js, Vue.js) and their ecosystems.
• Solid knowledge of version control (Git) and CI/CD workflows
• Experience writing unit, integration, and end-to-end tests
• Strong problem-solving skills and ownership mindset
• Self-motivated, proactive, and able to collaborate effectively in cross-functional teams
• Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) to accelerate coding, debugging, and refactoring. Familiarity with these tools is expected as part of our team’s daily development workflow.
• Passion for clean code, scalability, and performance, curious about new technologies and enthusiastic about developer experience
  
  

[Preferred qualifications]

• Familiarity with modern build tools and bundlers (e.g., Babel, Webpack, Vite, Rspack, esbuild, etc.)
• Experience in Node.js, Python, GraphQL, and integrating with various backend services and databases (e.g., MySQL, MongoDB)
• Experience with testing frameworks such as Jest, Vitest, Playwright, or similar
• Experience with cross-browser compatibility and performance tuning in complex browser environments
• Familiarity with web security practices (CSP, XSS mitigation, etc.)
• Experience with micro-frontend architecture

#LI-CS1

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

As a Senior DevOps Engineer, you will be part of our product teams. Our product teams focus on building large-scale distributed systems, aiming to provide high-quality services. You will focus on the design and implementation of tools for product development, the technologies of service operation, and deployment onto instances with high scalability requirements. Seniority and title are determined by job-related skills, experience, and evaluation following the interview. We welcome international candidates to our teams. This position is ideally to be based in Taiwan.

Responsibilities

• Collaborate with product teams to ensure high availability, reliability, and stability of the microservices architecture
• Design and maintain observability infrastructure (logging, monitoring, alerting)
• Build and optimize CI/CD pipelines and deployment automation
• Develop infrastructure-as-code solutions for scalable service deployment
• Lead incident response, troubleshooting, and post-mortem analysis
• Drive capacity planning and infrastructure scaling strategies
• Maintain comprehensive documentation, including runbooks and operational procedures
• Participate in on-call rotation to support production systems

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• 5+ years of experience in DevOps, SRE, or infrastructure engineering roles 
• Strong Linux system administration skills
• Proficiency in Bash and at least one programming language (Python, Go)
• Proven experience deploying and operating production services
• Experience with version control systems (Git)
• Understanding of cloud computing concepts and architectures
• Hands-on experience with infrastructure automation and configuration management

[Preferred qualifications]

• Experience with container orchestration (Kubernetes, Docker) and configuration management tools (Ansible, Terraform, Puppet, Chef)
• Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
• Production experience with major cloud providers (AWS, GCP, Azure)
• Database administration experience (PostgreSQL, MySQL, MongoDB, Cassandra)
• Experience operating large-scale web services and distributed systems
• Knowledge of security best practices (firewall configuration, IAM, network security)

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About Appier

Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.

About This Role

We are seeking an accomplished Sales Manager to play a pivotal role in driving our sales efforts within the dynamic field of chatbot technology. The Sales Manager will be responsible for leveraging their extensive SaaS sales experience, bilingual proficiency in English and Chinese, and a profound understanding of the chatbot industry to build and manage strategic client relationships. The ideal candidate should possess a minimum of 3 years of sales experience within the SaaS sector and exhibit an in-depth grasp of the chatbot industry landscape.

Responsibilities:

• Identify, prospect, and establish new client relationships with businesses seeking innovative chatbot solutions.
• Utilize a consultative sales approach to understand client needs, provide tailored product demonstrations, and articulate the value proposition of our chatbot technology.
• Develop and execute strategic sales plans to achieve and exceed sales targets within the assigned territory or market segment.
• Collaborate closely with cross-functional teams including marketing, product development, and customer support to ensure seamless client onboarding, implementation, and post-sales support.
• Build and maintain a strong sales pipeline through networking, cold calling, attending industry events, and utilizing other effective sales strategies.
• Conduct thorough market research to stay up-to-date with the latest trends and competitive landscape within the chatbot industry.
• Prepare and deliver compelling sales presentations and proposals that address client challenges and objectives.
• Negotiate terms and contracts with clients, ensuring mutual understanding and satisfaction.
• Provide accurate sales forecasts and reports to sales management on a regular basis.
• Act as a subject matter expert on our chatbot technology, staying current with product updates and enhancements.

Qualifications and Skills:

• Minimum of 3 years of successful sales experience within the SaaS industry, with a track record of meeting or exceeding sales targets.
• Fluent proficiency in both English and Chinese languages, with strong verbal and written communication skills in both languages.
• Deep understanding of the chatbot industry landscape, including key players, trends, challenges, and opportunities.
• Proven ability to build and maintain strong, long-lasting client relationships.
• Exceptional interpersonal skills and a consultative sales approach, with the ability to understand client needs and tailor solutions accordingly.
• Strong negotiation and closing skills, with the ability to navigate complex sales cycles.
• Self-motivated and results-driven, with the ability to work independently and as part of a team.
• Excellent presentation and communication skills, with the ability to convey technical information to both technical and non-technical audiences.
• Willingness to travel as needed for client meetings and industry events.
• Bachelor’s degree in business, marketing, or a related field (preferred).

#L1-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 seeking for an Account Manager for our Sales team in Taipei Headquarter. He/She will cultivate strong relationships with our new and existing clients and assist them in strategizing and plan digital marketing campaigns to meet their goals. 

Responsibilities

• Identify key account growth opportunities with key stakeholders.
• Strategizing and plan digital marketing campaigns to meet clients goals.
• Manage campaign launch and ongoing operations, including market research, troubleshooting, budget management and reporting.
• Cultivate strong relationships with clients.

About you

[Essential]

• At least 2 years of relevant working experience in digital marketing.
• Performance marketing or App optimization experience is a plus
• Good at problem solving and cross-functional collaboration
• Logically thinking and possess good time management abilities.
• Requires a combination of strong analytical and communication skills, with some technical understanding.
• Detail-oriented with good organization.
• Able to work independently in a fast-paced environment.

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About Appier
Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.

About the role

As a Sales Development Associate (Inside Sales), you’ll spearhead growth by uncovering untapped opportunities through strategic outreach and engagement. This role is your gateway to making a tangible impact in a fast-paced, results-driven environment while shaping Appier’s success in the regional market.

Responsibilities

• Execute comprehensive prospect attack campaigns (e.g. cold-calling, email, social media...etc.) to generate new clients and opportunities
• Partner with our experienced Enterprise Solution Sales Team to qualify the opportunities (inbound and outbound), fill their pipelines
• Maintain active engagement with new and existing leads through creative follow-up communications
• Conduct in-depth market research to expand and manage the database of prospects within an assigned territory and develop the attack strategy
  • Utilize tools and technologies to identify the right prospects based on specific criteria and update the CRM system (Salesforce)
  • Maintain and track prospecting spreadsheets, develop an analytical outreach framework in collaboration with regional Sales and report weekly progress
  • Assess competitors by analyzing and summarizing competitor information and trends to identify sales opportunities

About you 

We’re looking for ambitious, tech-savvy and young professionals with a passion for sales to join our Inside Sales Team as a Sales Development Intern. You’ll connect with clients across diverse industries, master the art of impactful communication, and drive success by showcasing Appier’s innovative product suites. If you thrive in a fast-paced, results-driven environment, this is your chance to shine!

Minimum Qualifications

• Adaptable and proactive in fast-paced sales environments, thriving on new challenges.
• Proficient in analyzing data, solving problems, and making effective decisions.
• Fluent in English with strong verbal and written communication skills.
• Demonstrated ability to prioritize tasks, multitask effectively, and manage time in a results-oriented setting.

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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 Data Analyst / Senior Data Analyst in Taiwan to join our Enterprise Solution team.

In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.

To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.

  [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Responsibilities

• Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.
• Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and Engineers to identify business pain points and provide actionable analytical suggestions.
• Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior.
• Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports.
• A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
• Data Governance: Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.

About you

[Minimum qualifications]

• Education: Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.
• Experience: 2+ years of industry experience in data analytics or a related field.
• Technical Skills:
  • Proficient in SQL, Python 
  • Practical experience in developing dashboards using Tableau, Looker, or similar tools.
• Core Competencies:
  • Solid foundation in statistics and strong logical reasoning for problem-solving.
  • Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.
  • Excellent oral and written communication skills in English and Mandarin.
  • High level of self-discipline and adaptability within a fast-paced, high-growth environment.

[Preferred qualifications]

• Experience in the Digital Marketing (MarTech) industry.
• Familiarity with Google BigQuery, Mongo DB
• Foundational knowledge or hands-on experience in Machine Learning (ML).
• Experience in Agent development or AI-driven workflows.
• Prior experience working in an English-speaking professional environment with cross-border teams.

#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 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.

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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 Ad Cloud Bidding Team

The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount.

About the role

Software engineers (Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. We are looking for a Senior Backend Engineer with a strong focus on service operations to maintain and optimize our large-scale distributed systems. You will ensure our backend services run reliably and efficiently through automation, monitoring, and incident management.

Responsibilities

• Manage system deployment, configuration, and release pipelines
• Design and manage automated deployment pipelines to ensure smooth and reliable releases
• Implement monitoring, alerting, and disaster recovery strategies
• Troubleshoot production incidents and perform root cause analysis
• Participate in on-call rotations and lead incident response when required
• Continuously evaluate and adopt new tools or technologies to improve operational workflows

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related fields
• 3+ years of experience in backend engineering or site reliability engineering
• Familiar with Unix/Linux environments
• Scripting or programming skills in Python, Go, or Bash
• Experience in infrastructure-as-code tools
• A proactive mindset toward automation and continuous improvement and strong sense of ownership

[Preferred qualifications]

• Experience with cloud infrastructure
• Familiarity with CI/CD pipelines and observability tools
• Knowledge of performance profiling and load testing tools
• Exposure to security hardening, access control, or compliance auditing

#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.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.

What You’ll Work On

• Leverage scientific methods to improve ads measurement.
• Drive online experiments to continuously improve ads effectiveness.
• Own the project independently.
• Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.

What We’re Looking For

• Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
• 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
• Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.
  

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About Appier
Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.

Responsibilities (including but not limited to)

• Developing and executing online and offline campaigns, including content marketing strategies, gamification, digital marketing, brand partnerships, on-ground activation etc. to drive traffic to digital channels
• Creating, optimizing, and managing high-quality content (blog articles, landing pages, multimedia assets) to improve engagement and conversion rates.
• Identifying, developing & optimising growth channels and website experience to enhance user journey and drive revenue growth.
• Analysing marketing data and user behavior, and website performance metrics (campaign results, conversion rates, bounce rates, etc.) to help shape future marketing and UX strategies.
• Proposing new initiatives to attract prospects and convert leads as well as testing new approaches to capture existing demand
• Providing inputs & expertise to drive efficacy of marketing activities (content development and optimization, advertising etc.)
• Planning and executing initiatives to reach the target audience through different channels, with a strong focus on digital content distribution and engagement strategies.
• Working closely across teams with other teams to share ideas, feedback & present results

Qualifications

• 4-7 years of experience in content marketing, digital marketing, or growth marketing.
• Experience in developing and optimizing website content to improve traffic, engagement, and conversions.
• Possess excellent analytical skills and leverage data, metric, analytics and consumer behavior trends to generate creative ideas.
• Highly goal-oriented individual who is resilient in their pursuit of growth and continuous website experience improvements.
• Open minded, curious and a strong problem solver.

Why join us?

We believe in building a great working environment where passionate individuals can give their best, and to work with a talented team. To reward Appiers for their contribution, we also work hard to offer perks and benefits to make their life better.

Perks and benefits

• Company office locations at the heart of the central business district (CBD) in all our countries
• Well stocked pantry with snacks and drinks
• Competitive salary
• Health insurance for all employees
• Your choice between Mac or Microsoft 
• Frequent company and team gatherings to celebrate success and life in general

#L1-CS1

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 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

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 

We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists and campaign managers to improve RTB (Real-Time Bidding) campaign performance through model enhancements, strategic insights, and cross-team collaboration. You will have the opportunity to run large-scale A/B testing experiments on billions of ad requests daily, identify key signals that drive performance, and shape the optimization direction based on real-time data and industry trends. This is an ideal opportunity for someone who is passionate about advertising technology, machine learning applications, and performance marketing.

Key Responsibilities:

• Partner with data scientists and campaign managers to improve RTB model and algorithm performance.
• Analyze competitor strategies and market trends to identify optimization opportunities.
• Drive data-informed decision-making to improve campaign outcomes.
• Design and evaluate A/B experiments at scale using billions of daily auction requests.
• Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement.
• Explore and evaluate potential new signals to enhance model effectiveness.
• Collaborate with the SSP partnership team to optimize traffic quality and supply-side performance.
• Coordinate cross-functional requirements with strong communication and alignment across teams.
  
  

Qualifications:
Education: Background in Engineering, Data Science, Marketing, or related fields is a plus.

Availability: Must be available full-time; based in TW preferred.

Language Skills:

• Proficient in English and Mandarin; able to clearly articulate ideas and findings across technical and non-technical audiences.
  
  

Bonus:

• Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.

#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

Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures.

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 

Responsibilities

• Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports.
• Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness.
• Ensure the highest quality and performance standards for Appier products through rigorous testing.
• Accurately report and validate product bugs, driving continuous improvement.
• Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures.
• Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks.

About you

[Minimum qualifications]

• Solid understanding of software development methodologies (Agile, Waterfall).
• Better in software testing processes, including test planning, test case development, and troubleshooting.
• Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team.
• Minimum 2 years of hands-on experience with at least one test automation tool  (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust).
• Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow.
• Experience integrating and utilizing CI/CD tools.
• Quick learner with good troubleshooting abilities and keep attention to detail.

[Preferred qualifications]

• Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes)
• Excellent skills in data integrity tests or data quality.
• Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test)
• Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus)
• Experience in building automation testing for the architecture of micro-services
• Experience / Knowledge in the test for Big data, Machine Learning, Data analysis.
• Fluent English communication skills, both verbal and written.

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

As a Machine Learning Scientist in Appier, you will be contributing to Appier’s research in actual use case for our products.

Responsibilities

• Use machine learning and analytical techniques to build prediction model for advertising/enterprise solutions.
• Experience in analyzing and extracting valuable information from large amounts of business data
• Design, develop and test advanced models for predictive consumer behavior
• Co-operate with software engineering teams to drive real-time model implementations and new feature creations
• Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation
• Research and evaluate pioneering machine learning and statistical model

About you

[Minimum qualifications]

• Master or Ph.D. in Computer Science, Machine Learning, Math or Statistics. (Familiar with probabilistic model predictive models)
• Solid experience in system design and programming, ability to work with big data with minimal engineering support
• 3+ year experience in data mining, algorithms, statistical analysis, computational NLP and/or machine learning
• Proven ability of solving challenging problems in both academia and industry
• Extensive publication experience
• Self-motivation and an ability to priorities multiple competing challenges in a fast-growth environment
• Thinking about thinking; meta-cognition
• Applying past knowledge to new situations; remain open to continuous learning
• Thinking and communicating with clarity and precision

[Preferred qualifications]

• Excellent presentation skill to articulate product ideas to technical/non-technical audience

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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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