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Senior Software Engineer, Data Backend(Data Platform)
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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'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)
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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
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.
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Senior Machine Learning Scientist (Ad Cloud, RTB) - Tokyo,Japan
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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.
In this role, you’ll further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model
What You’ll Work On
- Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy
- Leverage advance deep learning model to improve bidding/audience model performance
- Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance
What We’re Looking For
- Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field.
- 3+ years of industry experience on RTB ecosystem
- Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills.
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【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.
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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
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.
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【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
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Senior Sales/Associate Director (Hunter Sales)*Remote* AD Cloud Solution, DSP
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About the role
This is a hunter sales role where you will proactively prospect and close clients for our AD Cloud solutions. You can work remotely anywhere in the U.S. We are looking for a wide range of Account Executive up to Director level talent interested in individual contributor hunter sales.
Responsibilities
- Proactively contact new and existing clients and educate, propose and secure buy-in on Appier’s ads solutions
- Identify, propose and sell programs to targeted organizations within the target markets/sectors set out by the company
- Develop an understanding of client’s business, products, services, customer profile, marketing and business objectives, competitors and sales.
- Develop strategic relationships by identifying key new business opportunities
About you
- Experience in digital media sales
- Good understanding on Digital & Mobile marketing industry
- Excellent negotiation skills with a proven track record of sales success
- Good interpersonal skills, initiative and follow through
- Ability to “translate” complex technology processes into meaningful solutions that address business needs
- Ideal experience selling in Ecomm vertical
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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
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Staff/Senior Software Engineer, Machine Learning Platform (Ad Cloud) - Tokyo
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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
We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines.
In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants.
What You’ll Work On
- Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation.
- 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).
- Design and monitor data infrastructure using ClickHouse and PostgreSQL.
- Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
- Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities.
- Actively adopt and promote the use of LLM-based tools (e.g., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging.
- Mentor junior engineers and help evolve team engineering culture and standards.
What We’re Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
- 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering.
- Strong coding proficiency in Python and/or Java, with experience building large-scale production systems.
- Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm.
- Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems.
- Deep understanding of ML pipelines and distributed job execution in production environments.
- Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity.
- Strong ownership, architectural thinking, and ability to lead cross-functional platform projects.
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About Appier
Appier is a Agentic as a Service 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 Sales Manager(Individual Contributor) is a pivotal role responsible for driving sales growth, both through acquiring new clients and nurturing existing relationships, while delivering exceptional service to support our team's revenue objectives in the Hong Kong and South China market.
Responsibilities
- Proactive Client Engagement: Initiate and maintain proactive communication with both new and existing clients, offering education, proposing solutions, and securing buy-in for Appier's advertising solutions.
- Targeted Program Sales: Identify, propose, and execute sales programs tailored to organizations operating within the target markets and sectors defined by the company.
- Client Understanding: Develop a deep understanding of clients' businesses, products, services, customer demographics, marketing strategies, competitive landscape, and sales needs.
- Pipeline Management: Efficiently manage your individual sales pipeline to optimize sales revenue while providing accurate and timely sales forecasts.
- Client Service Excellence: Respond to general and customized client inquiries with the highest level of professionalism and service quality.
- Digital Marketing Influence: Establish yourself as an influential figure in the local digital marketing sector, effectively engaging with Chief Marketing Officers (CMOs) and Heads of Marketing to facilitate existing growth.
- Strategic Relationship Building: Identify and cultivate strategic relationships, pinpointing key opportunities for new business development.
About you
- Bachelor's Degree/Diploma in Business or a related field, preferred.
- Minimum of 2 years of experience in digital media sales.
- Creative and adept problem solver with a track record of understanding customer needs and delivering innovative solutions.
- Strong grasp of the Digital & Mobile marketing industry.
- Exceptional written, verbal communication, and sales skills in both Chinese and English.
- Proven negotiation skills with a successful sales track record.
- Strong interpersonal skills, proactive initiative, and follow-through.
- Extensive local network and relationships with advertisers and media agencies.
- Ability to translate complex technology processes into practical solutions that meet business requirements.
- Proficiency in handling multiple priorities simultaneously.
- Previous experience in the digital marketing field.
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Senior Software Engineer, Data Backend EDP (Enterprise Data Platform)
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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. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.
About the role
We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.
You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.
What you will do
-
Design, build, and maintain backend services and data platform components.
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Develop and optimize streaming and batch data workflows.
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Improve reliability and operability (monitoring, alerting, incident prevention/recovery).
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Improve data quality and consistency through schema/contracts and validation mechanisms.
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Diagnose and resolve production issues across service and data layers.
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Drive performance and cost optimization initiatives for large-scale workloads.
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Collaborate across teams to deliver roadmap milestones.
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Mentor engineers and contribute to engineering standards and review culture.
About you
[Minimum qualifications]
-
6+ years of software engineering experience in backend/data-intensive systems.
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Strong proficiency in Go (required).
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Strong proficiency in Python (required).
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Strong proficiency in SQL (required).
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Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).
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Experience operating services/pipelines in cloud production environments (GCP preferred).
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Solid understanding of reliability practices: observability, on-call, incident response.
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Strong communication and ownership; able to drive ambiguous projects to completion.
[Preferred qualifications]
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Experience with Databricks/Delta Lake/Lakehouse architectures.
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Experience with Kubernetes/GKE and Terraform/IaC.
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Experience with data governance (lineage, access control, PII handling).
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Experience with identity/profile systems (entity resolution, merge logic).
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Experience with FinOps/cost optimization for platform workloads.
- Scala/Java experience for Spark ecosystem optimization is a plus.
[Language]
Fluent in English.
Why join us
-
Work on high-impact, business-critical data backend systems.
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Own real production outcomes across scale, quality, and cost.
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Collaborate with strong cross-functional teams in AI + data.
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Grow technical leadership while staying hands-on.
Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.
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QA Automation Engineer - Fully Remote, Turkey Based
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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
Appier is seeking Software Engineers, QA Automation to ensure continuous delivery of high-quality system. You will work with engineers to design testing plans for various types of systems - large traffic distributed system, machine learning algorithm, big data platform, frontend system, etc. He/ She will master the skills in defining suitable test strategies and test automation for different types of systems.
[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]
About you
- 3+ years of experience in QA Engineering with a focus on automation and test strategy.
- Proficiency in scripting languages (e.g., JavaScript, Java, or similar) for writing automated tests.
- Hands-on experience with test automation frameworks (Playwright is a strong plus).
- Strong experience with API testing tools (Postman, RestAssured, or equivalents).
- Exposure to backend service testing (a plus).
- Experience in cross-browser and cross-platform compatibility testing.
- Mobile testing experience on both iOS and Android.
- Familiarity with performance testing concepts and tools (nice to have).
- Deep understanding of SDLC, Agile methodologies, and QA’s role in shaping product quality early in the cycle.
- Strong knowledge of test pyramid principles and best practices for balancing manual vs automated test coverage.
- Practical experience with Jira and TestRail (or similar test management tools).
- Excellent communication and collaboration skills, with the confidence to question and propose improvements.
- Analytical mindset with strong problem-solving abilities.
- Self-discipline and adaptability to succeed in a remote-first environment.
- Ability to decide regression test coverage independently.
- Strong ownership of manual test efforts, complemented with automation where it adds most value.
- A questioning mindset that ensures no assumption goes untested.
- Availability in a timezone similar to European time.
#LI-Fully Remote
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Senior Frontend Development Engineer (Enterprise Solutions)
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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
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
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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
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.
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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
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.
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About Appier
Appier is an s 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
We are seeking for an Account Manager for our Sales team in Beijing. 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.
- Strategize 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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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
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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
[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
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Staff/Senior Machine Learning Scientist (Ad Cloud) - Tokyo,Japan
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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.
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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【会社概要】
最先端のAI技術を活用し、マーケティングの課題を解決するAIネイティブのエージェント型AIサービス（AaaS）企業です。世界17拠点を展開し、既に1800社以上の企業を支援しています。
🔹 安定性 × イノベーション
最先端のAI業界で活動しながらも、大きく利益を創出。上場企業としての安定性と革新性を兼ね備えています。
🔹 世界トップクラスのR&Dチーム
研究開発チームは、AI、データ分析、分散処理システム、マーケティングの経験を持つ熱意あるメンバーで構成。Google、Intel、Yahoo出身者に加え、ハーバード大学やスタンフォード大学の著名なAI研究グループ出身者が多数在籍。
🔹 CEOのAI実績
弊社CEOは、アメリカでAI応用分野の最優秀論文に選出され、Googleの自動運転車の開発にも深く関与。世界的に評価されるAI分野のリーダーです。
Appier is an s 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.
We're looking for a commercially driven and ambitious Partnership Manager to scale our Enterprise Solutions presence in Japan.
About the role
The Partnership Manager will be responsible for sourcing new distribution partners for our Enterprise Solutions suite within the Japan region, analyzing and qualifying in accordance to Appier’s strategic needs. You will build close relationships with Appier’s channel partners and ensure performance standards. You will work with both our partners and internal teams to formulate a business plan and its operations to maximise mutual success.
Responsibilities:
- Identify and source new partners within Japan, with a strong understanding of Appier’s Enterprise Solution product and market needs
- Serve as a main POC between Appier and potential partners, bridging internal resources to onboard new partners
- Formulating a strategic business plan with clear objectives for new partners including Go-To-Market plans
- Manage partner relations and channel performance, review & identify areas of improvement, implementing changes as necessary
Requirements:
- Minimum 6 years of experience, with a relevant background in Solution Sales/Business Development/Partnership Development
- Commercially driven and a strong ambition to succeed
[Nice to have]
- Adtech/Martech industry knowledge
- Experience in either Cloud Services, ISV, MSP or a similar solution targeting Enterprise/Mid-Market markets
- Process driven, able to manage partner onboarding and forecasting
- Business English Level
【労働条件】
雇用形態：正社員
勤務地：〒105-0002 Tokyo, Minato City, Atago, 40F MORI Tower (Atago Green Hills), 2-5-1
(東京タワーと富士山がキレイに見えます！)
勤務時間：フレックスタイム制（コアタイム：10:30～15:30）
※基本的に入社後3-6か月は出社となります。
有給休暇：初年度12日（入社時2日、法定有休は入社日より6ヶ月後付与）
福利厚生：
・MacとMicrosoft OSの選択可
・オフィスにフリースナック、ドリンク有
・全従業員の健康保険
・英語勉強補助あり
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Senior Software Engineer, Backend Development (Playable Ads)
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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.
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.
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Account Manager, South Korea (Advertising Solutions)
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About the role
Appier Korea is hiring an Account Manager local clients. The person 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 of the role
- Strategize and plan digital marketing campaigns to meet client goals.
- Manage campaign launch and ongoing operations, including market research, budgeting and reporting.
- Establish and manage campaign material production.
- Provide campaign analysis report and marketing advices.
- Coordinate communication with both internal and external parties.
- Communicate data and strategy in a clear and concise manner.
- Cultivate strong relationships with clients.
- Propose and implement business growth and process improvement.
About you
- Fast-learner, interested in online advertising industry and data monitoring.
- Logically thinking and 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.
- Online marketing experience or stellar presentation skill is a plus.
-
Fluency in Korean and English
Why join us?
We believe in building a great working environment where passionate individual 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
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About Appier
About the role
Appier is building its first MEA dedicated hunter sales team to be based out of our Istanbul office. The Sales Manager is responsible for selling and up-selling to new and existing clients and providing excellent service in support of team revenue goals. You willl own our Ad Cloud product portfolio including Appier's programmatic solutions, and with a main focus on proactively reaching out and closing new app clients for user acquisition and app retargeting campaigns.
*final title of the role may vary depending on the finalist's interview performance, as we're open to candidates of various seniority
Responsibilities
- Proactively contact new and existing clients and educate, propose and secure buy-in on Appier’s ads solutions
- Identify, propose and sell programs to targeted organizations within the target markets/sectors set out by the company
- Develop an understanding of client’s business, products, services, customer profile, marketing and business objectives, competitors and sales.
- Manage individual sales pipeline to maximize individual sales revenue while providing accurate and timely forecasts
- Provide excellent level of professionalism and service in responding to general and customized client requests
- Be an influencer in digital marketing to businesses in the local market
- Strong consultative sales approach to engage with CMOs/Head of Marketing to manage existing growth
- Develop strategic relationships by identifying key new business opportunities
About you
- A bachelor’s Degree/Diploma in Business or a related field preferred
- At least 5 years of experiences in digital media sales
- Experience in the mobile app advertising industry in relation with selling user acquisition and app retargeting campaigns is preferred
- Creative, problem solver with ability and experience in understanding needs of customers and delivering innovative solutions
- Good understanding on Digital & Mobile marketing industry
- Outstanding written, communication and selling skills
- Excellent negotiation skills with a proven track record of sales success
- Good interpersonal skills, initiative and follow through
- Strong connection and relationships with local advertisers and media agencies
- Ability to “translate” complex technology processes into meaningful solutions that address business needs
- Able to handle multiple priorities simultaneously
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Senior Machine Learning Scientist, Playable Ads
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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
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.
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Job Description
The Sales Manager is responsible for selling and up-selling Appier's Ad Cloud solutions to new and existing clients and providing excellent service in support of team revenue goals.
The job title may vary depending on the final candidate's seniority and interview performance.
Key Responsibilities
- Proactively contact new and existing clients and educate, propose and secure buy-in on Digital Marketing
- Identify, propose and sell programs to targeted organizations within the target markets set out by the company
- Develop an understanding of client’s business, products, services, customer profile, marketing and business objectives, competitors and sales.
- Provide excellent level of professionalism and service in responding to general and customized client requests
- Be an influencer in digital marketing to businesses in the market
- Strong consultative sales approach to engage with CMOs/Head of Marketing to manage existing growth
- Responsible for special projects as assigned
Requirements
- A bachelor’s Degree/Diploma in Business or a related field preferred
- At least 5 years of experience in digital marketing with at least 3 years in a sales role
- Creative, problem solver with ability and experience in understanding needs of customers and delivering innovative solutions
- Understanding on Digital & Mobile marketing industry
- Outstanding written, communication and selling skills
- Excellent negotiation skills with a proven track record of sales success
- Strong commitment to sales and service with good interpersonal skills, initiative and follow through
- Good connection and relationships with advertisers and media agencies
- Ability to “translate” complex technology processes into meaningful solutions that address business needs
- Able to handle multiple priorities
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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
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.
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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
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Software Engineer, Backend Development (Ad Cloud Platform team)
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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 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]
- 1~3 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.
- 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.
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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.
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.
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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.
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
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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.
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
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Staff Software Engineer, C++ Backend Development(Ad Cloud Bidding)
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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.
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
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Senior Software Engineer, Backend Development (REC)
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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
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 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 build identify graph to enrich unified customer profile and also identify high purchase value users to drive ROAS by machine learning model.
What You’ll Work On
- Leverage scientific methods to build identify graph and identify high-value users
- Drive online experiments to continuously improve ROAS
- 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, or related field.
- 3+ years of industry experience on identify graph, ID mapping and cross-device mapping in digital Ads related fields, and generate mapping and profile under large-scale data.
- Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
- Strong ownership and collaboration skills.
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Senior Machine Learning Scientist (Ads incrementality) - Tokyo
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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.
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.
Language
Fluent in English or Chinese.
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Staff Software Engineer, C++ Backend Development (Ad Cloud Bidding) - Tokyo Relocation required
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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.
About the role
Software engineers (Ad Cloud Bidding) at Appier Tokyo office 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
[Language]
Fluent in English or Chinese.
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.
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Software Engineer, General Backend Development, Enterprise Solution - Tokyo,Japan
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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.
About the role
We are seeking a highly skilled and experienced Senior Software Engineer, General Backend Development. In this role, you will be responsible for developing and maintaining scalable, high-performance backend systems. A primary focus of this position will be diagnosing and resolving complex system performance bottlenecks and tackling intricate concurrency issues, such as race conditions. You will work closely with cross-functional teams to design and implement robust solutions that meet business requirements and ensure the long-term stability and success of our projects.
Responsibilities
- Design, develop, and maintain robust and scalable backend systems using Java / Python / Go and related frameworks such as Spring, Undertow, Flask, FastAPI, etc.
- Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to define system requirements and deliver high-quality solutions
- Perform code reviews to ensure adherence to coding standards and best practices
- Identify and troubleshoot issues, debug and optimize code for performance and efficiency.
- Participate in the entire software development lifecycle, from planning and design to implementation, testing, and deployment
- Stay updated with the latest industry trends and technologies, and continuously improve technical skills
About you
[Minimum qualifications]
- Proven experience as a Backend Developer, with at least 8 years of professional experience.
- Strong understanding of programming languages and related web frameworks.
- Apply object-oriented principles and design patterns to ensure code reusability, readability, maintainability, and scalability.
- Experience with functional programming paradigms, such as immutability, higher-order functions, and lambda expressions.
- Embrace a testing mindset and aim for comprehensive test coverage whenever feasible. Possess familiarity with any unit test framework for effective testing.
- Solid understanding of web application development principles, RESTful APIs, and microservices architecture.
- Experience with databases (SQL and NoSQL) and ORM frameworks.
- Experience with OLAP database.
- Familiarity with version control systems (e.g., Git).
- Strong problem-solving skills and ability to work independently as well as in a team environment.
- Excellent communication and collaboration skills.
[Preferred qualifications]
- BS/MS degree in Computer Science or related field.
- Technical leadership experience.
- Good at profiling and debugging tools.
- High performance network service on Linux.
- Experience in Java development
- Experience in developing data structures, algorithms on top of Big Data platforms
- Experience in building and managing robust data warehouses. e.g. Trino/Presto , Pinot or Databricks.
- Design and architect large scale distributed systems.
- Design and implement distributed algorithms and data structure.
- Familiarity with Agile development methodologies.
- Familiarity with solving system performance issues or improving system performance
- Familiarity with SRE / DevOps related domains
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Senior Software Engineer, Backend Development - OJM team - Tokyo,Japan
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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.
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 for OJM, Omni-channel Journey Map (https://www.appier.com/en/blog/customer-journey-map), and Aideal (https://www.appier.com/en/products/aideal). You will 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: Typescript
- 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.
- Business-level proficiency in Chinese is required.
[Preferred qualifications]
- BS/MS degree in Computer Science or related field.
- 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 Jenkins).
- Continuous integration / continuous deployment.
- Monitoring and alert system (Prometheus / Nagios).
- Functional programming.
- Data Intensive Application Design.
- Web Frontend and Javascript.
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Senior Software Engineer (Ad Cloud Bidding) - Tokyo,Japan
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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.
About the role
Software engineers (Ad Cloud Bidding) at Appier Tokyo office 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
[Language]:
Proficiency in Chinese
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.
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Senior Software Engineer, C++ Backend Development (Ad Cloud Bidding)- Tokyo Relocation required
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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.
About the role
Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services.
Responsibilities
- Design, implement, and optimize backend services
- Participate in code reviews and contribute to system design discussions
- Collaborate with cross-functional teams to deliver robust and high-performance systems
- Troubleshoot production issues and contribute to root cause analysis
- Support system deployment, monitoring, and maintenance in production environments
- Participate in on-call rotations and lead incident response when required
About You
[Minimum qualifications]
- BS/MS degree in Computer Science or related fields
- 3+ years of experience in software development
- Experience in modern C++ programming (C++11 and later)
- Familiar with Unix/Linux environments
- Good interpersonal and problem-solving skills and strong sense of ownership
[Preferred qualifications]
- Good 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
- Experience in modern build systems
- Experience in operation automation tools
[Language]
Fluent in English or Chinese.
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.
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Agentic AI Engineering Manager – Tokyo, Japan (Relocation Required)
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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.
About The Role
We’re building agentic and recommendation products that power next-gen digital marketing. You will lead an engineering team at the intersection of ML systems, LLM/agent orchestration, and enterprise SaaS to deliver reliable, measurable outcomes for marketers—faster execution, smarter budget allocation, and differentiated brand performance.
Our goal is to build Marketing Agents (e.g., Audience Agent, Campaign Agent and Insight Agent) and Consumer-Facing Agents (e.g., Service Agent, Sales Agent), underpinned by a One Data Platform that enables trustworthy personalization and decisioning at scale.
What You'll build
Agentic Marketing Automation
- Natural language task assignment: users describe objectives and constraints in plain language; agents plan, execute, and report.
- Amplifying brand advantage: systems that help strong brands compound performance while giving others actionable levers to close gaps.
- One Data Platform integration: unify identity, events, product catalog, and campaign data to drive consistent decisions across products.
[Product Areas]
- Marketing Agents
- Audience Agent: segmentation, targeting strategies, cohort insights, next-best audience.
- Campaign Agent: multi-step campaign planning, creative/testing suggestions, launch & iteration, performance diagnosis.
- Consumer-Facing Agents
- Service Agent: post-purchase journeys, retention, support deflection, cross-sell triggers.
- Sales Agent: lead qualification, outreach recommendations, pipeline nudges (where applicable).
- Recommendation products: ranking, next-best-action, uplift modeling, personalized content/channel selection.
Responsibilities
Engineering leadership
- Lead a team of engineers (and partner closely with ML scientists) to deliver enterprise-grade agent and recommendation capabilities.
- Translate product goals into technical strategy, milestones, and execution plans; drive delivery with high quality and predictable cadence.
- Establish engineering excellence: code quality, testing, observability, incident response, and continuous improvement.
- Build an environment of humble, hungry, smart execution—measure outcomes, iterate quickly, reduce waste.
Agentic Systems & ML Product Delivery
- Design and ship agent frameworks: planning/execution loops, tool calling, memory, retrieval, safety guardrails, and evaluation.
- Define evaluation methodology for agents: offline benchmarks, online experiments, success metrics, and human-in-the-loop review flows.
- Assure solid integration with One Data Platform: data contracts, feature availability, privacy controls, and reliability SLAs.
- Partner with Product, Design, Data/ML, and GTM to ensure model behavior aligns with user needs and business goals.
Stakeholder & Culture
- Drive stakeholder alignment: connect engineering objectives to business outcomes (revenue, retention, customer value).
- Promote an autonomous culture: empower autonomous decision-making for both the team and the systems you build.
- Manage fast-paced experimentation while ensuring security, compliance, and enterprise readiness.
About you
[Minimum qualifications]
- 8+ years professional experience as a Software Engineer; 4+ years in a management/leadership role.
- Strong communication in English (written and verbal).
- Degree in Computer Science / Informatics or equivalent practical experience.
- Proven track record delivering enterprise-grade products (reliability, security, observability, performance).
- Experience working with or managing engineers and ML scientists.
- Experience delivering solutions using Agile principles.
[Preferred qualifications]
- Experience building LLM/agentic systems in production (tool use, RAG, orchestration, evaluation).
- Hands-on background with ML systems (recommendation, ranking, attribution, uplift, LTV, forecasting) and their productionization.
- Familiarity with data platforms (event pipelines, identity resolution, feature stores, lakehouse/warehouse) and data governance.
- Experience with A/B testing and causal measurement; comfortable making tradeoffs using metrics.
- Exposure to MA/CRM domains: segmentation, journeys, omnichannel messaging, campaign ops, budget pacing.
- Experience in leading hybrid (onsite/remote) engineering team.
About Us (Appier Engineering)
At Appier Engineering, we aim to be humble, hungry and smart. We improve through constant measurement and feedback—building less and talking more to ensure outcomes users love while reducing waste. We innovate by failing well, adapt quickly, and stay efficient and responsive when needed. We’re looking for an Engineering Manager who embodies these values through work and life experiences.
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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 the role
We are seeking an Account Manager for team in Vietnam. 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
- Manage campaign launch and ongoing operations, including market research, budgeting and reporting.
- Establish and manage campaign material production.
- Provide campaign analysis report and marketing advices.
- Coordinate communication with both internal and external parties.
- Communicate data and strategy in a clear and concise manner.
- Propose and implement business growth and process improvement.
About you
- Degree in related field or at least 1 to 3 years of relevant working experience in similar function
- Fast-learner, interested in online advertising industry and data monitoring.
- 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.
- Fluent English and Vietnamese are preferred.
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About the role
The Sales Manager, Enterprise Solutions is responsible for selling and up-selling Aiqua, Aixon and BotBonnie, Appier’s AI-as-a-service products to new and existing clients and providing service in support of team revenue goals.
The job title may vary depending on the final candidate's seniority and interview results.
Responsibilities
- Lead sales efforts for Appier’s Enterprise Solution product suites (such as Aiqua, Aixon, Botbonnie). You will be responsible for managing the end-to-end process from prospecting, qualification, negotiation and closure
- Serve as the product expert for our technical solutions, capable of delivering tailored proposals with customised presentations and Demos
- Involves getting deeper penetration of Appier AI and Data solutions across large accounts, developing these accounts from scratch and making them a strategic partner
- Develop relationships with C-level executives and decision makers within key accounts, and identify areas of new business opportunities.
- Practice data accuracy across internal sales tools, maintaining a healthy sales pipeline and closure forecast
- Prepare and negotiate business proposals and quotations as required
- Coordinate cross-functional efforts to create and finalise contracts, and integration schedules as necessary
- Follow up and maintain communication with clients to track satisfaction levels
About you
[Essential]
- Minimum 4 years of sales experience in a heavily customer facing, target-driven role
- Strong soft skills to develop relationships with key decision makers in the industry
- Independent and self-motivated, able to adapt to a fast paced environment
- A proven track record of driving and closing enterprise deals.
- Knowledge of Korea enterprise software ecosystem
- Comfortable English fluency - this role will require both spoken and written English for internal communication
- A bachelor’s Degree preferred.
[Nice to have]
- Professional knowledge of terminology, trends and concepts of Data and AI products
- Experience handling large enterprise-level accounts
- Experience in selling SaaS Solutions, ideally in Marketing systems, Chat, Analytics or CDP
- Experience working with e-commerce or retail verticals
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Sales Business Development Manager, Advertising Solutions
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About the role
This role is responsible for selling and up-selling to new and existing clients and providing excellent service in support of team revenue goals in the Vietnamese market.
Responsibilities
- Proactively contact new and existing clients and educate, propose and secure buy-in on Appier’s ads solutions
- Identify, propose and sell programs to targeted organizations within the target markets/sectors set out by the company
- Develop an understanding of client’s business, products, services, customer profile, marketing and business objectives, competitors and sales.
- Manage individual sales pipeline to maximize individual sales revenue while providing accurate and timely forecasts
- Provide excellent level of professionalism and service in responding to general and customized client requests
- Be an influencer in digital marketing to businesses in the local market
- Strong consultative sales approach to engage with CMOs/Head of Marketing to manage existing growth
- Develop strategic relationships by identifying key new business opportunities
About you
- A bachelor’s Degree/Diploma in Business or a related field preferred
- Creative, problem solver with ability and experience in understanding needs of customers and delivering innovative solutions
- Good understanding of the Digital & Mobile marketing industry
- Outstanding written, communication and selling skills in both local language and English
- Excellent negotiation skills with a proven track record of sales success
- Good interpersonal skills, initiative and follow through
- Strong connection and relationships with local advertisers and media agencies
- Ability to “translate” complex technology processes into meaningful solutions that address business needs
- Able to handle multiple priorities simultaneously
- Native in Vietnamese and proficient in English.
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About the role
We are looking for a Customer Success Manager to spearhead our enterprise solutions business in Ho Chi Minh City, Vietnam.
As a CSM at Appier, you aren't just a point of contact; you are a strategic partner. You will bridge the gap between complex technical capabilities and real-world business outcomes. Your mission is to ensure our enterprise clients are able to maximize their project key metrics results through our AI-driven Martech Enterprise solutions (Personalization Cloud, Data Cloud and AI Agents)
This role will begin as a 3-month contractor position, to be converted into a permanent position at the end of the contract period if performance standards are met.
Responsibilities of the role
- Strategic Stakeholder Management: Navigate complex enterprise hierarchies to build and maintain relationships with key personas—from C-level executives to project leads and end-users. You will act as the primary advocate for the client within Appier and the primary consultant for the client’s digital transformation.
- Strategic Adoption: Drive deep product integration and "stickiness" by aligning Appier’s solution with the client’s specific KPIs (e.g., ROAS, Conversion Rates, Retention).
- Customer Journey Mapping: Define and execute the post-sale journey, ensuring seamless onboarding and continuous value delivery through new use cases and feature rollouts.
- Retention & Growth: Own the commercial health of your portfolio, maintaining high retention rates while identifying white-space opportunities for upsells and cross-sells.
- Technical Problem Solving: Act as the first line of strategic defense, troubleshooting challenges and collaborating with Product/Engineering teams to turn customer feedback into product roadmaps.
- Cross-Functional Collaboration and Ownership: Work closely with Sales, Pre-sales, and Technical Support to ensure a unified "One Appier" experience for the client.
About you
[Essential]
- Experience: 3+ years in Customer Success or Account Management within a high-growth Software/AI environment
- Domain Expertise: Solid understanding of the digital marketing ecosystem
- Strategic thinker with deep analytical skills: Ability to translate raw data into actionable insights and Business Reviews (BRs) that resonate with senior leadership.
- Tech-Savvy: Comfortable discussing APIs, SDKs, and data integration logic with technical teams while translating those concepts for marketing users.
- Language Proficiency: Native Vietnamese speaker with Fluent English (written and verbal) to support SEA customers.
[Nice to haves]
- Fast-learner, ability to strive in a fast-paced environment
- Strong organizational and people management skills
- Effective and productive collaborator to drive cross-functional initiatives
- Excellent communicator with strong presentation skills
- Sales/pre-sales experience a plus
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Job Description
Our group was listed on the Tokyo Stock Exchange Mothers (currently the Growth Market) in March 2021 and transitioned to the TSE Prime Market in December 2022. On the business front, we have continued to grow both revenue and profit while expanding globally.
Amid this environment, the importance of investor relations (IR) is increasing in step with the expansion of our investor base. We are seeking a highly motivated individual to join us as an IR Manager(PR), contributing to further enhancement of our corporate value.
・Preparation for earnings announcements, including the creation of earnings presentation materials
・Responding to investor inquiries (participating in conferences and investor meetings)
・Developing IR strategies
・Communication with relevant internal departments
Qualification
【MUST】
・Over 5 years working experience (prefer to IR/PR related experience in the public companies)
・Frequent English capability (especially, professional writing skill for the presentation materials)
【WANT】
・Basic understanding financial accountings
・Bilingual Communication skill
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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.
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