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Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 5 years of software development experience. Experience with PostgreSQL or other databases, including database internals and administration. Experience in designing systems and building managed services for databases or storage. Preferred qualifications: Experience in C++ programming and SQL. Experience with query processing and query optimization techniques. Understanding of relational databases and database Internals. About the jobIn this role, you will contribute to Cloud SQL, the relational database offering from Google Cloud platform that supports fully-managed database service hosting of PostgreSQL, MySQL and SQL server databases. You will enable customers to deploy highly available databases with focus on simplicity, reliability, durability, and performance at scale.You will work on one of the fastest growing product lines under Cloud SQL is Cloud SQL Postgres, which offers a managed service based on the immensely popular PostgreSQL open source database. You will support the data foundation for a rapidly growing customer base ranging from startups to Fortune 500 enterprises. Your mission is to offer the best managed Postgres service and developer experience for the customers.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive the technical enhancement and maintenance of the Cloud SQL Postgres service while actively contributing code and expertise to the open-source PostgreSQL community. Lead technical projects from planning to delivery while helping to define the team's long-term goal and engineering strategy. Collaborate with product managers, customers, and partner teams to define product roadmaps and contribute to broader GCP database initiatives. Foster an open, and innovative team culture while providing technical leadership in a fluid environment. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About Us: We are a leading tech company based in Taipei, operating across various Asian markets, including Australia, Hong Kong, Singapore, and Japan. Our mission is to innovate and streamline operations in the inline app industry, ensuring excellence in customer service and operational efficiency. Our culture is driven by a passion for hustling and a commitment to sharing the honors of our achievements. We value neatness, clarity, and close collaboration, and we're looking for a Billing and Revenue Operations Lead to help steer our financial growth and operational efficiency. Job Summary: The Billing and Revenue Operations Lead will oversee the entire billing process, from invoice generation to revenue recognition, ensuring accuracy, compliance, and timely payments. This role is crucial for optimizing our revenue operations and financial health. The ideal candidate is detail-oriented, strategic, and a problem-solver, capable of leading initiatives to improve billing processes and systems. Key Responsibilities: Billing and Invoice Management: Oversee the entire billing process, ensuring invoices are generated, issued, and followed up on accurately and promptly. Collaborate with sales and customer success teams to streamline invoice adjustments and handle customer queries efficiently.Revenue Recognition: Ensure revenue is recognized in compliance with company policies and accounting standards. Manage the month-end close process for billing, ensuring timely and accurate revenue reporting.Process Optimization: Continually assess and optimize billing and revenue operations. Identify bottlenecks or inefficiencies and lead initiatives to implement best practices and improve operational efficiency.Compliance and Reporting: Maintain up-to-date knowledge of relevant financial regulations and ensure all billing operations comply. Prepare detailed reports on billing accuracy, revenue performance, and key metrics for internal stakeholders.Salesforce.com and Zuora Implementation and Management: Play a lead role in the implementation and management of Salesforce.com and Zuora platforms. Ensure these systems are optimized to support billing and revenue operations, including automation of billing processes, and integration with other business systems for streamlined operations.Cross-functional Collaboration: Serve as the primary liaison between finance, sales, customer success, and IT departments to ensure billing and revenue processes are aligned with business objectives. Work closely with sales and customer success teams to resolve billing issues, enhance customer satisfaction, and support sales strategies.Team Leadership and Development: Lead, mentor, and develop the billing team, fostering a culture of high performance, continuous improvement, and shared success. Ensure the team is fully trained on Salesforce.com, Zuora, and other relevant tools and systems.Strategic Projects: Lead strategic projects related to billing and revenue operations, such as the integration of new products or services into the billing platform, exploring new revenue streams, and implementing new billing models to support business growth.

【職務說明】 1. 蒐集及分析商業需求，並提供技術解決⽅案 2. 設計、開發和維護應⽤程式 3. 分析現有系統並提供改進建議 4. 設計和實施新系統解決⽅案，並確保其符合業務需求和標準 5. 協調跨部⾨的⼯作，包括開發⼈員、測試⼈員和項⽬經理等 6. 監督系統測試和實施，以確保系統的穩定性，安全性和可靠性 【技能要求】 1. 熟悉 Java 程式語⾔，具備使⽤Spring boot 開發經驗 2. 熟練 No SQL，EX：Redis、Mongo DB 3. 有使⽤MQ的經驗，EX：Kafka、Rabbit MQ 4. 了解分散式鎖，並且懂得適⽤場景 5. 針對JVM啟動⽅式有優化的經驗 6. 對於⾼併發，⾼流量的系統架構有興趣 7. 使⽤資料庫的經驗 EX：MySQL、SQL Server、Oracle , 對SQL 指令有⼀定了解，並且處理過慢查詢的經驗

Data 團隊是公司數據戰略的核心引擎，肩負著建構企業級數據基礎設施的重要使命。我們打造的數據中台每日處理數億筆交易數據，連接數百個業務數據源，構建高效能的資料管道。通過嚴謹的數據治理，我們不僅確保數據的品質與一致性，更將複雜的數據轉化為強大的決策工具，為產品創新、業務分析與商業戰略提供實時、精準的數據洞察。在這個快速變化的數據環境中，你將有機會學習最新技術、挑戰自我，並直接為公司的決策提供強大的數據支持。【工作內容】1. 建置與維護企業資料基礎設施，並確保資料的可靠性、準確性與即時性2. 設計與開發高效能、高吞吐量與近即時的資料管道(data pipeline)3. 參與資料專案，規劃資料存取策略，建置資料管道與設計資料模型(data model)4. 對資料需求單位提出專業建議，建構高效能的資料存取服務與資料模型5. 分析目前數據系統的挑戰與問題，提出優化的方案，提升完整性、可靠性、擴充性和效能6. 研究與探索更好的資料架構、工具與方法應用於數據中台7. 在專案執行過程，從需求分析到交付成果，擔任技術領導的角色*輪值OnCall

1.風險數據分析 ・蒐集並分析遊戲相關交易數據，偵測異常與高風險行為・建立可視化風險控管儀表板，提供同仁觀察及定位出風險點・建立並優化風險模型，包含詐欺偵測、異常遊戲行為分析 2.監控與報告・建立即時監控系統，追蹤玩家與交易動態，提供即時風險警示・定期產出風險控管報告，協助管理層決策 3.跨部門合作 ・支援營運、產品與客服團隊，提供數據洞察，降低業務風險・制定風險控管流程與防範措施・協助內部人員辨識風險與詐騙手法

【工作內容】1.具備實務或規劃經驗，並協調業務單位跨部門或廠商協作，善於溝通、業務需求分析、流程規劃能力，撰寫規劃文件。2.配合業務發展進行應用系統上，以使用者為中心，開發介面、邏輯功能等設計，各項開發/測試/部署工作建構並推行自動化。3.執行專案計畫各項工作，配合團隊其他人員，確保工作品質符合專案需求，依既定目標與時程完成產出。4.協助專案整體進度和品質掌控、功能驗收、自動化測試、壓力測試、上版規劃。5.具備RPA自動化流程開發軟體(UiPath) 實作與維運能力。6.定期檢測系統弱點與負載能力，並執行升級計畫。

關於 Wren AI Wren AI 正在重新定義企業級商業智慧（Business Intelligence），透過 Generative BI（GenBI），讓企業使用者能以自然語言存取 可信、可治理的分析結果，不需要撰寫 SQL，也不必維護複雜的語意模型。 Wren AI 誕生於台灣，具備深厚的 開源（Open Source）DNA，是少數從台灣出發，成功服務歐美、中東與亞太企業客戶的 B2B AI 新創公司。 目前，Wren AI 已被多家成長型與 跨國大型企業 採用，並正以開源導入與企業擴張為核心，快速成長中。 這是一個能在台灣工作、卻站在 全球 enterprise 銷售第一線 的難得機會。 職務說明 作為 Lead Commercial Customer Success（Technical），你將全面負責一組 國際 Commercial（中型市場）客戶 的 售後成功與長期成效。 此角色結合： Customer Success Manager（客戶成功負責人） 售後技術顧問（Post-sales Technical Owner） 客戶內部代言人（Customer Advocate） 由於客戶分布於不同地區，此職務需能配合客戶所在時區與業務關鍵需求彈性調整工作時間，以支援重要會議、上線節點、升級與續約溝通。 ⚠️ 本職務為 售後技術型 Customer Success ❌ 非客服 / Support ❌ 非 Helpdesk ❌ 非 Pre-sales / Solutions Engineer 工作內容 負責全球 Commercial 客戶成功 管理並負責一組 國際 Commercial 客戶（以北美、歐洲為主） 全面掌握客戶生命週期：導入、採用、續約與擴展 配合客戶時區 參與關鍵會議（如 onboarding、定期檢視、決策者溝通） 推動可衡量的商業成果與長期留存 擔任售後技術主要窗口 作為客戶售後的 第一線技術顧問 協助排除 SQL、資料模型、BI 指標與分析邏輯問題 診斷並解決現代 BI 工具與雲端資料平台的整合與使用問題 在需要時參與跨時區的技術討論與問題排查 與 Engineering、Support 團隊合作處理複雜技術升級案件 推動採用、留存與成長 監控客戶健康指標，主動識別風險與成長機會 支援續約與擴展討論（與 Sales 協作） 於關鍵時點彈性調整工作時段，確保客戶成功里程碑順利完成 對齊 GRR / NRR 等核心 Customer Success 指標 成為客戶在內部的代言人 作為指定帳戶的升級與溝通窗口 將客戶回饋轉化為具體的產品與流程改善建議 與 Product、Engineering、Sales 密切協作 建立可擴展的 Customer Success 能力 參與並優化 onboarding、技術成功與最佳實務文件 協助建立可支援全球客戶的 Customer Success 作業模式 隨公司成長優化工具、流程與跨部門合作方式 這是一個能在台灣工作、卻代表全球企業級 AI 產品，直接與歐美、中東與亞太大型企業客戶合作的難得機會，同時參與打造台灣少數真正具全球影響力的開源 B2B AI 公司。

Job Summary: As a Machine Learning Engineer, your responsibilities will include designing, developing, and deploying machine learning models and algorithms to address complex challenges and improve our products and services. Additionally, you will play a key role in AI-enhanced customer service. You will collaborate closely with data scientists, software engineers, and domain experts to implement state-of-the-art machine learning solutions. As a Machine Learning Engineer, your responsibilities will include designing, developing, and deploying machine learning models and algorithms to address complex challenges and improve our products and services. Additionally, you will play a key role in AI-enhanced customer service. You will collaborate closely with data scientists, software engineers, and domain experts to implement state-of-the-art machine learning solutions. Key Responsibilities: Model Development: Design, build, and maintain scalable machine learning models and algorithms.Data Analysis: Analyze and preprocess data from various sources to prepare it for model training.Model Training Evaluation: Train, validate, and tune machine learning models to achieve optimal performance.Deployment: Deploy models into production and integrate them with existing systems.Monitoring Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant.Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions.Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack.

我們正在尋找一位具備 2–4 年實戰經驗的後端工程師，成為團隊中核心的後端開發成員。你將與產品、設計、前端與 AI 團隊緊密合作，專注於優化並穩定當前的 Python FastAPI 服務，確保產品順利上線並與國際醫療資訊系統無縫接軌。這是一個能讓你深入參與系統重構、資料庫設計、醫療雲端架構部署，並接觸前沿 GenAI 應用與未來 Golang 技術轉型的絕佳機會。 【工作內容】 使用 Python 與 FastAPI 開發穩定、可擴展的後端服務與 API負責與醫院資訊系統（HIS）及電子健康紀錄（EHR）系統的 API 串接，確保醫療數據交換符合 FHIR 等國際標準協助參與系統架構重構，並為未來的技術轉移（如 Golang）做準備使用 Postman 進行 API 測試，並撰寫／維護清晰的 API 文件（OpenAPI / Swagger）協助將既有 RESTful API 架構逐步整合或遷移至 GraphQL參與關聯式資料庫（PostgreSQL、MySQL）的 Schema 設計，協助繪製與維護 ER Diagram撰寫高效的 SQL 語法，並使用 Redis 實作 Cache 機制，提升 API 回應速度在公有雲環境（AWS、Azure 或 GCP）與 Docker 容器化環境中進行日常開發與部署維運協助開發與醫院資訊系統（HIS）的 API 串接模組與 AI 工程師協作，將 RAG 模組、文件向量化處理流程等封裝為獨立的服務並提供穩定接口

Own complex SQL analytics: Write complex and high-performance SQL, and build pipelines that power decision-making.Lead Commercial PL scenario modeling: Simulate Commercial PL outcomes, quantify trade-offs, and recommend actions with clear PL impact.Influence stakeholders: Translate data into actionable narratives; drive alignment and decisions across Business Development/Seller teams/Marketing/Finance; facilitate reviews and defend recommendations with evidence.Spot and size opportunities: Identify revenue levers, cost optimizations, and operational efficiencies; estimate impact and risks.Operate under pressure: Manage competing priorities, deliver to tight timelines, and maintain analytical quality and accuracy.Build decision tools: Create dashboards and reports to empower stakeholders with actionable insights.Uphold data quality: Define metrics, validate logic, and ensure traceability from raw data to final insights