Engineering Manager(AI / AdTech)研發部主管
VMFive · Songshan District, Taipei City, Taiwan
Apply & track with Apply EdgeAbout the RoleWe are looking for an Engineering Manager to lead our engineering team and take ownership of both our existing AdTech products and the development of our next-generation AI applications.Our existing AdTech products are supported by experienced senior engineers. In this role, you will lead the team across engineering delivery, resource allocation, technical quality, and risk management, while working closely with senior engineers on key technical decisions.On the AI side, we are looking for someone who can remain hands-on when needed — contributing to technical planning, architecture design, and early-stage development of AI applications, while gradually building the team's capability to develop and maintain AI-powered products.What You'll DoLead and develop the engineering team, including team structure, resource allocation, goal setting, performance feedback, hiring, coaching, and onboarding.Own engineering delivery and regularly communicate project progress, key risks, technical issues, and recommendations to management.Establish and continuously improve engineering practices across requirement assessment, development, code review, testing, release, and technical documentation.Lead the ongoing development, maintenance, and optimization of our AdTech and Digital Advertising products, working closely with senior engineers on technical solutions, quality, delivery, and risk.Take a hands-on role in the technical planning, architecture, and development of AI applications using technologies such as LLMs, RAG, AI Agents, APIs, and workflow automation.Translate business and product requirements into executable technical solutions, development scope, timelines, and resource plans, while evaluating feasibility, cost, and technical risks.Lead the investigation and resolution of major technical issues, including root cause analysis, corrective actions, and follow-up improvements.Oversee IT, cloud, and engineering infrastructure, including servers, cloud services, AI tools/APIs, computing resources, third-party technical services, and related infrastructure.Continuously optimize technology costs and resource utilization while balancing system performance, reliability, scalability, and cost efficiency.What We're Looking For7+ years of software development experience, including 3+ years in a Technical Lead, Engineering Manager, or engineering leadership role.Hands-on experience developing AI / LLM applications, with practical knowledge of LLM APIs, RAG, AI Agents, and tool/API integrations.Experience taking AI prototypes or PoCs into production-ready products or enterprise applications.Strong experience in backend development, system architecture, databases, API integrations, and cloud/infrastructure, with the ability to make sound architectural and technical decisions.Solid understanding of the full software development lifecycle, including requirement breakdown, estimation, planning, development, testing, deployment, operations, and risk management.Strong engineering leadership and cross-functional collaboration skills, with the ability to balance business priorities, team capacity, development cost, technical quality, and delivery timelines.What You'll GainExpand beyond engineering management into product, AI, and technology strategy, with direct involvement in shaping key technology and product decisions.Take meaningful technical ownership, with the autonomy to influence architecture, engineering practices, team development, and technology investment.Broaden your experience across AdTech, AI applications, cloud infrastructure, and technology operations as our products and AI business continue to evolve.Nice to HaveExperience in AdTech, MarTech, or Digital Advertising, including DSP, SSP, Ad Server, RTB, Campaign Management, or Reporting/Data Platforms.Experience with DevOps, infrastructure management, information security, monitoring, automated deployment, or CI/CD.Experience building or operating high-traffic, high-concurrency, or large-scale data systems.Experience with AI-assisted development, Prompt / Context Design, or introducing AI development tools into engineering workflows.Experience establishing or improving engineering processes, code review practices, quality standards, and technical documentation.職位概述我們正在尋找一位 Engineering Manager,帶領研發團隊,承接既有 AdTech 產品的研發管理,並推動下一階段 AI Application 的技術發展。既有 AdTech 產品已有資深工程師提供技術支援,你將負責團隊管理、資源配置、研發交付、技術品質與風險掌握,並與資深工程師共同進行重要技術判斷。在 AI Application 部分,我們期待你仍保有實際開發能力,能親自參與技術規劃、架構設計與初期開發,運用 LLM、RAG、AI Agent 等技術推動應用落地,並逐步帶領團隊建立 AI 專案的開發與維護能力。主要職責帶領研發團隊,負責組織分工、資源配置、目標設定、績效回饋、人才培育、招募與新人 Onboarding。掌握研發交付、專案風險與重要技術議題,定期向管理層彙報進展、風險與待決事項,並提出處理方案。建立並持續優化需求評估、開發、Code Review、Testing、Release 與技術文件等研發流程。帶領團隊持續開發、維護及優化既有 AdTech / Digital Advertising 產品,與資深工程師共同掌握技術方案、品質與交付風險。實際參與 AI Application 的技術規劃、架構設計與開發,運用 LLM、RAG、AI Agent、API 與 Workflow Automation 等技術推動 AI 應用落地。將產品與商業需求轉化為可執行的技術方案、開發範圍、時程及資源規劃,並評估技術可行性、成本與風險。負責重大技術問題的分析與處理,包括 Root Cause Analysis、改善方案與後續追蹤。負責 IT、Cloud 與研發技術資源的規劃及管理,涵蓋 Server、Cloud、AI Tool / API、運算資源、第三方技術服務及相關基礎設施。持續掌握技術資源使用量、效能與成本,主動提出並執行成本優化方案,在系統穩定性、擴充性與成本效益間取得平衡。我們希望你具備7 年以上軟體開發相關經驗,並具 3 年以上 Technical Lead、Engineering Manager 或研發團隊管理經驗。具 AI / LLM Application 實際開發經驗,熟悉 LLM API、RAG、AI Agent、Tool / API Integration 等常見架構與實作方式。具將 AI Prototype / PoC 建置為正式上線產品或企業應用系統的經驗。具 Backend、System Architecture、Database、API Integration 及 Cloud / Infrastructure 等實務經驗,能進行架構設計、技術評估、技術選型、資源與成本評估及問題分析。熟悉完整 Software Development Lifecycle,具需求拆解、工時估算、研發排程、開發、測試、部署、維運及風險管理能力。具研發團隊管理與跨部門協作能力,能在商業需求、團隊量能、開發成本、技術品質與時程間做出合理判斷。在這裡你能擁有的發展機會從研發團隊管理進一步參與產品、AI 與技術策略,深入公司技術與產品方向的規劃與決策。擁有高度的技術決策權與自主空間,能實際影響技術架構、團隊發展與資源投入方向。隨新產品與 AI 業務發展,持續拓展 AdTech、AI Application、Cloud Infrastructure 與技術營運等不同領域的實戰與管理經驗。加分條件具 AdTech、MarTech 或 Digital Advertising 相關產業或系統經驗,如 DSP、SSP、Ad Server、RTB、Campaign Management、Reporting / Data Platform。具 DevOps、Infrastructure Management、資訊安全、Monitoring、自動化部署或 CI/CD 相關實務經驗。具高流量、高併發或大量資料處理系統經驗。具 AI Coding、Prompt / Context Design 等實務經驗,曾協助團隊導入 AI 開發工具。曾建立或優化研發流程、Code Review、品質規範與技術文件制度。