Product Manager / Technical PM — Data Engineering

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role The AI Bidding team owns the bidding algorithm and campaign optimization behind Appier's programmatic ad platform. We're looking for a TPM to work closely with scientists and serve as the bridge across engineering teams (Scientist, Bidding serving, Creative, Internal Dashboard, Technical support, etc) and drive cross-team technical programs to completion. Business-side communication is primarily routed through the Product Manager, but this role still needs to understand business requirements well enough to translate them into technical scope and trade-offs. What You Will Do Lead the planning, scheduling, and delivery tracking of cross-team technical programs (e.g., model iteration, algorithm migration, dashboard migration), keeping timelines and priorities aligned Clarify technical details with external partners, and translate them into the design of internal technical solutions Define and maintain SOPs for experiments, feature rollouts, and migration plans (including rollback planning); coordinate A/B test design and rollout sign-off with internal users Run the cross-team working model through acceptance and feasibility reviews, estimation and prioritization rules, and checkpoint cadence, and track them through Jira/BT. Write technical documentation and communication materials that make solutions and trade-offs clear to non-technical stakeholders Perform basic data queries to validate decisions independently (SQL/spreadsheets) Minimum Qualifications 3+ years of experience as a Technical PM, ideally in adtech

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. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

【About Appier】 Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier 's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. 【About the role】 We are seeking for an intern for AIXPERT product team in Taiwan. 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】 Cultivate strong relationships with clients. 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. Assist clients to expand their usage and adoption of enterprise solution. Provide resources to answer clients’ questions, identifying needs for account customization and further implementation where applicable. Perform service delivery and first line technical support for the product implementation. Discussing the product definition, implementation, operation and clarifying issues with the customer. Assist in renewing client contract and cultivate upsell opportunities. Communicate consistently with clients throughout the contract lifecycle, escalating important issues where needed. Fully understand client requests, documenting and engaging appropriate resources. 【About you】 Have related experience or knowledge in digital marketing. Experience on operating Google Ads, Facebook, Apple Search Ads. 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

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