--- title: 'Senior Software Engineer, Data Backend (Ad Cloud) - Tokyo,Japan at Appier' canonical: 'https://feeny.ai/job/senior-software-engineer-data-backend-ad-cloud-tokyo-japan-appier-tokyo-m9sxa41zjdtj' type: 'job' last_seen: '2026-10-19' --- # Senior Software Engineer, Data Backend (Ad Cloud) - Tokyo,Japan at Appier - **Company:** Appier - **Location:** Tokyo, Japan - **Posted:** 2023-11-01 - **Last confirmed live:** 2026-10-19 - **Apply:** https://job-boards.greenhouse.io/appier/jobs/5476743 ## Job description ## 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](http://www.appier.com/) for more information. ## About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. ## Responsibilities - Design, develop, and maintain RESTful APIs using Python. - Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. - Design and develop data pipelines using Apache Airflow and Apache Spark. - Work closely with cross-functional teams to develop automation tools that streamline daily operations. - Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. - Address queries from applications in a timely and effective manner, ensuring high client satisfaction. - Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. - Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. ## About you [Minimum qualifications] - BS/MS degree in Computer Science - 5+ years of experience in building and operating large-scale distributed systems or applications - Experience in Kubernetes development, Linux/Unix - Experience in managing data lake or data warehouse - Expertise in developing data structures, algorithms on top of Big Data platforms - Ability to operate effectively and independently in a dynamic, fluid environment - Ability to work in a fast-moving team environment and juggle many tasks and projects - Eagerness to change the world in a huge way by being a self-motivated learner and builder [Preferred qualifications] - Experience working with ClickHouse is a big plus - Contributing to open source projects is a huge plus (please include your github link) - Experience working with Python, Scala/Java is a plus - Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus - Experience with Public Cloud like AWS or GCP is a plus ## #LI-EZ1 ## About Appier ## Company Overview - **One-liner**: Appier is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to turn AI into ROI through cutting-edge AdTech and MarTech solutions. - **Entity Type**: Public (Tokyo Stock Exchange, ticker 4180) - **Headquarters**: Taipei, Taiwan (with 17 offices globally including San Francisco) - **Founded**: 2012 - **Founders**: Chih-Han Yu (CEO), Wan-Ling Lee (COO), Ming-Yu Chen (CSO), Chia-Yung Su (CTO), Che-Hsu Chang (CIO) ## Core Business - **Primary industry**: AI-powered advertising technology (AdTech) and marketing technology (MarTech) - **Target customers**: B2B – primarily enterprise and SMB businesses seeking AI-driven marketing automation, customer data platforms, and programmatic advertising - **Mission**: "Making AI Easy" – helping businesses turn Agentic AI into ROI ## Products & Services - **Ad Cloud**: Performance-driven advertising platform that automates creative testing, audience targeting, and campaign optimization to maximize ROAS. - **Personalization Cloud**: Cross-channel customer engagement platform that personalizes every touchpoint using real-time AI adaptation (includes AIQUA). - **Data Cloud (AIRIS)**: AI-powered Customer Data Platform (CDP) that centralizes, segments, and activates data for unified audience intelligence and real-time decision-making. - **Other tools**: Aictivate (mobile gamer re-engagement), CrossX (advertising solution), BotBonnie (conversational marketing platform), AdCreative.ai (generative AI creative generation). ## Market Standing - **Valuation/Cap**: Market capitalization not publicly available in the search results; company is listed on the Tokyo Stock Exchange (Prime section since 2025). - **Key Metrics**: Total funding raised (estimated from disclosed rounds): ~$142M+ (Series A $6M, Series B1 $23M, Series C $33M, Series D $80M). Annual revenue not disclosed. - **Notable Investors/Partners**: Sequoia Capital, SoftBank Group, LINE Corporation, NAVER, EDBI, AMTD Group, TGVest Capital, HOPU-ARM Innovation Fund, Temasek’s Pavilion Capital, JAFCO Asia/Investment, UMC Capital, TransLink Capital, MediaTek Ventures, Fontaine Capital, UOB Venture Management. - **Growth Signals**: Expanded from 4-person start-up to 17 offices globally, serves 1,800+ customers, acquired Woopra (2022), BotBonnie, QGraph, Emin, AdCreative.ai; ranked top ROI-driving ad partner by Singular for two consecutive years; moved to TSE Prime listing in 2025. ## Competitive Advantages - **Deep AI R&D**: 70% of R&D staff hold PhDs or Master’s degrees in AI/Big Data, with 400+ academic publications. - **Agentic AI Platform**: Autonomous, adaptive agents for advertising, personalization, and data – built on proprietary machine learning, deep learning, and generative AI. - **Full-funnel coverage**: Combines AdTech and MarTech in a unified AI-native stack. - **Global footprint with localised expertise**: Strong presence across APAC, Europe, and US enables cross-border scalability. ## Strategic Focus - **Agentic AI expansion** – further develop autonomous AI agents across advertising, personalization, and data clouds. - **Global growth** – strengthen presence in US and European markets following recent acquisitions (AdCreative.ai, Woopra). - **Generative AI innovation** – incorporate generative AI into creative and campaign workflows. - **Sustainability & governance** – Received “AA” MSCI ESG rating, integrating ESG into operations. ## Why Work Here - **Culture**: “H-appier” framework – Hungry (ambitious, fearless), Humble (open-minded, adaptive), Happier (direct communication, diversity & inclusion, growth). Strong emphasis on execution excellence and customer centricity. - **Remote/Hybrid/Office**: 17 offices globally; specific policy not detailed but positions are likely hybrid/office-based depending on role (many engineering jobs listed in San Francisco, Taipei, etc.). - **Team**: 642 total employees (Built In estimate); engineering roles heavily weighted in AI/ML. - **Perks & environment**: “Start a career, not a job” – career growth tools, collaborative environment, celebration of wins. ## Sources 1. [appier.com](https://www.appier.com/en/) 2. [appier.com/about](https://www.appier.com/en/about) 3. [appier.com/career](https://www.appier.com/en/about/career/) 4. [greenhouse.io](http://job-boards.greenhouse.io/appier) 5. 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