E-commerce & D2C Manager

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 me

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role We are looking for a Machine Learning Scientist (LLM & Agents) to join the Enterprise Solution Science Team. This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will own agent features end to end — from problem definition and design, to shipping, to measuring and improving quality in production. What You’ll Work On You will contribute to the design, development, and productionization of one or more enterprise AI agents, including: Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth. Strategy Agent: Transform raw data into actionable, revenue-driving strategies and high-potential audience segments. Data Analysis Agent: Answer business questions by planning multi-step analyses and running SQL over large customer datasets, with every number traceable to the query that produced it. Sales and Service Agent: Drive sales conversion, increase average order value (AOV), and deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support. Build agent capabilities as reusable skills and MCP tools, and design tool interfaces that agents use correctly and efficiently Bring predictive models (e.g. propensity, churn, recommendation) into agent workflows and next-best-action suggestions Build evaluation — test sets, LLM-as-a-judge, production trace review — and use it to decide what ships Make agents faster and cheaper without losing answer quality, through c

About the Role We are seeking an experienced, data-driven, and forward-thinking Digital Marketing Manager . In this role, your core focus will be leading our Answer Engine Optimization (AEO) strategy to maximize our brand's organic visibility, citations, and recommendation share across GenAI search engines (e.g., Perplexity, ChatGPT Search, Gemini, Google AI Overviews). The remaining of your focus will involve managing and optimizing paid advertising campaigns across core platforms like Meta and Google Ads to drive cohesive performance growth. We are looking for a highly logical, strategic, and pioneering talent. If you are a proactive self-starter who thrives on taking ownership of projects and leveraging data and AI tools to solve real business challenges, this is the perfect stage for you. Responsibilities AEO Strategy & Execution Formulate Blueprint: Formulate and implement comprehensive AEO tactical roadmaps to secure Appier’s brand presence and leading recommendation share across major AI search engines. Define Monitoring Metrics: Establish and track key KPIs (e.g., AI Share of Voice, Traffic Conversion from GenAI engines) to evaluate AEO effectiveness and regularly report actionable data insights to the executive team. Cross-Functional Collaboration: Act as the strategic bridge between Content and Product teams, guiding them to structure brand assets and data into formats that AI engines can easily crawl and cite. Drive Business Problem-Solving: Demonstrate high commercial acumen by proactively identifying potential issues and defining core pain points. Take ownership to lead cross-departmental projects, collaborating closely with Data Analysts (DA), Product Managers (PM), and other teams to crack business challenges and deploy pioneering market solutions. Paid Media Campaigns End-to-End Execution: Independently plan, execute, analyze, and continuously optimize paid advertising campaigns across core platforms (Meta, Google Ads, etc.) to maximize subscript

About the Role We are looking for a Data Analytics Consultant in Taiwan to join our Enterprise Solution team. In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation. To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations. Responsibilities Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit. Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and clients to identify business pain points and provide actionable analytical suggestions. Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results. Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks) A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance. Solution Modeling & Frameworks: Design structured frameworks based on client

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 . Key Responsibilities User Support & Troubleshooting: Provide high-quality, face-to-face and remote technical support for hardware, software, operating systems (Windows & macOS), and mobile devices. Onboarding & Offboarding: Set up, image, and deploy workstations for new hires. Securely reclaim and wipe assets from departing employees. Infrastructure & "Smart Hands" Support: Maintain local server rooms and network closets. Act as the local eyes and hands for remote Network and Systems administration teams to troubleshoot switches, routers, firewalls, and patch panels. Conference Room & AV Management: Maintain and troubleshoot workplace collaboration technology, including Zoom Rooms, projectors, and audio equipment. Inventory & Asset Management: Maintain an accurate, up-to-date inventory of all local IT assets (laptops, monitors, peripherals, and licenses) and manage the local e-waste disposal process. Ticket Management: Document, track, and resolve incoming requests within our IT Service Management (ITSM) tool ([e.g., Jira / ServiceNow]) ensuring adherence to established SLAs. Vendor Coordination: Coordinate with local ISPs, hardware vendors, and building management for internet outages, warranty repairs, or facility-related IT needs. About you Minimum qualifications Experience: 3+ years of experience in a desktop support, helpdesk, or technical f

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 , especial