Cari Lowongan

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. 3 years of experience with interactions between hardware and software at the system level. Preferred qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. Experience with liquid cooling technologies (e.g., DLC, sidecars) and their application in data center environments. Experience with server hardware from Dell (PowerEdge), HPE, and NVIDIA (HGX/NVL platforms). Experience with thermal modeling or Computational Fluid Dynamics (CFD) software to predict hotspot formation in high-density racks. Familiarity with high-power electrical standards and facility interfaces for liquid-cooled hardware. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. Google is bringing our cloud anywhere with Google Distributed Cloud—in your data center, at the edge, and in the cloud.Google Distributed Cloud (GDC) is a portfolio of fully managed Hardware (HW) and Software (SW) solutions which extends Google Cloud’s infrastructure to the edge and to customers’ data centers. It is enabled by Anthos and is ideal for local data processing, edge-computing for latency-sensitive workloads, and for meeting sovereignty, strict data security, and privacy requirements.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 Lead mechanical, thermal, and power design and validation for GDC rack infrastructure, accommodating next-generation advanced GPUs, including platforms such as NVIDIA Blackwell, Rubin, and future high-density AI accelerators. Analyze power consumption and thermal output of new components (e.g., servers, ToRs, switches, HSM, etc.) to determine impact on the existing rack designs, specifically addressing the shift to liquid-cooled requirements. Work closely with Original Equipment Manufacturer (OEMs), Product and Engineering teams to analyze their specific Hyperscale Graphics eXtension (HGX). Calculate rack power budgets and density limits, ensuring designs accommodate high-voltage requirements without exceeding infrastructure capacity. Model and validate airflow for mixed environments, including the integration of liquid-to-air sidecar heat exchangers. 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies. Preferred qualifications: 5 years of people management experience. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience in managing projects and collaborating across different teams. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 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 Manage and mentor a team of engineers and engineering managers, fostering a culture of innovation, collaboration, and continuous improvement. Define the technical roadmap and strategy for the Kubernetes Infrastructure layer of the Google Distributed Cloud (GDC) product line. Oversee the end-to-end development life-cycle, from concept and design to deployment and maintenance. Guide the team in integrating AI into their daily routines to maximize productivity. Work closely with GDC operators, SREs (Site Reliability Engineers), and other engineering teams to identify needs and deliver impactful solutions. 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.

Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience building and developing large - scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.Experience in architecting and designing a distributed system in a public cloud environment (e.g., Google Cloud Platform).Experience working with Kubernetes, public cloud infrastructure, and cloud security.Experience in developing and maintaining backend systems.Preferred qualifications: 5 years of experience in software development building large-scale platforms. Experience contributing to open source projects or working with open source community. Understanding of cloud architectures, public and private cloud based systems. Ability to navigate open-ended technical challenges and make proper trade-offs. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Distributed Cloud - Airgapped (GDCag) is a new, converged hardware and software solution that brings selected Google Cloud Platform services on-premises. It is designed for customers who need to run cloud workloads in air-gapped (no connectivity to Google Cloud Platform) and highly secure environments due to regulations or policies, while still gaining operational efficiency and a consistent Google Cloud Platform experience.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 Build a scalable platform that supports key business deliverables for Google Distributed Cloud - Airgapped. Work closely with a variety of Google Distributed Cloud - Airgapped teams, Google Cloud Platform teams, and external vendors to ensure the timely delivery of the Google Distributed Cloud - Airgapped software stack. Influence and shape the security architecture and roadmap of Google Distributed Cloud - Airgapped in live threat detection, vulnerabilities detection, and remediation. Collaborate with Google Distributed Cloud - Airgapped Product Management, Principals, and Architecture to solve broad, impactful problems to raise the bar for quality, robustness, operability, and velocity. Define Agentic Artificial Intelligence opportunities in Google Distributed Cloud - Airgapped in the space of fault remediation and architect, design, and land solutions. Drive alignment of Google Distributed Cloud - Airgapped security components with Google Cloud Platform security architecture. 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Experience with Enterprise or Datacenter Networking. Experience with Kubernetes. About the jobLike Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 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 Manage a team of Software Engineers (SWEs) to develop technologies that provide networking for Google Distributed Cloud products. Design and develop software systems to automate the design, deployment, and operation of Google Distributed Cloud (GDC) physical and overlay networks across multiple layers (e.g., physical, overlay, and Kubernetes networks). Deliver solutions to address an opportunity of Google Cloud on a subset of key custrrt (Gemini on GDC, Finance, Government, Telco, EU regulated workloads etc). Work with cutting edge datacenter and cloud networking technologies and building cloud native networking automation solutions. 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in program or project management. Preferred qualifications: 8 years of experience managing cross-functional or cross-team projects. Ability to demonstrate strong performance in prior roles, with increasing levels of responsibility and initiative. Ability to communicate with highly technical management teams with strong customer service focus. Excellent problem-solving, negotiation and organizational skills. Passion for functioning in an ambiguous and evolving engineering operations environment. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. Google Distributed Cloud (GDC) is a fully managed software and hardware solution for data centers and edge locations to address regulatory, local data processing, survivability, and low-latency needs. At the critical center of our product our secret sauce is a dynamic and resilient supply chain.Within Google Distributed Cloud, we are a team of doers and trailblazers working to optimize that supply chain, ensuring scalable, and high-quality delivery of right-fit hardware to meet the evolving needs of our customers on their premises. We aim to achieve this through efficient processes, innovative tools, and strategic partnerships that streamline supply chain operations, enhance decision-making, scale through partnerships, build resilience and flexibility, and drive continuous improvement.Our team is at a pivotal moment in our growth trajectory, where rubber meets the road and we invite you to join us as we take GDC from 1 to 100.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 Lead program teams across external partners and cross-functional organizations including legal, product, and engineering. Identify and resolve organizational and administrative blockers to deliver GDC to end customers quickly and reliably. Facilitate regular reviews to maintain momentum and ensure all partners are accountable for their respective deliverables. Implement process improvements to reduce cycle times and improve the efficiency of the delivery model between planning signals and execution response. Manage the requirements for global markets where lead times and regulatory environments lack established precedents. 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.

Micron Taiwan is hiring young talents studying STEM in Malaysia🇲🇾 Click the link below or "Apply Now"to grab a chance for the Speed Interview in KL Malacca (Please login first to access the registration form) Application is closing soon!Register now! . . 📍 Schedule (More details will be updated soon, stay tuned!) . 📍 Physical Interview qualifications Fresh graduates (including 2025, 2026, 2027 graduates with bachelor or above degree)Engineers withless than 2 years of work experience. English communication required.Mandarin-speaking or interest in learning Mandarin is a big plus! Candidates who submit their applications before 4 April will receive priority for interview selection. . 📍 Who should attend the career talk speed Interview Engineering talents/students who want to work abroad in TaiwanEngineering talents with below majors：Electrical/Electronics EngineeringMechanical/Mechatronic EngineeringChemical EngineeringMaterial ScienceIndustrial EngineeringCivil EngineeringMathematics/Statistics/PhysicsOther semiconductor-related majors . 📍 Hiring positions Process EngineerManufacturing EngineerEquipment EngineerFacility EngineerConstruction EngineerEHS Engineer .📍 Work location Taoyuan/Taichung/Tongluo/Tainan, Taiwan *Relocation support is provided,including： VisaWork permitFlight ticketShort-term accommodationSettling-in services . 🎁 Lucky Draw Gift At the career talk：Grand Prize: Join the lucky draw for a chance to win AirPods Pro 3.Early Bird Gift: The first 50 registrants at each session will receive an exclusive Micron Gift Set.How to Qualify：Register via "Apply Now" and attend the career talk in person.Winners will be drawn and announced live during the event.Early Bird Bonus： Register before March 31 to unlock an additional entry for the AirPods Pro 3 lucky draw! . 📍 About Micron Technology, Inc.As one of the top memory semiconductor companies in the world, Micron is an industry leader in innovative memory and storage solutions, transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. . 📍 What I will gain at Micron Taiwan 💡 Hands‑on experience with leading‑edge DRAM and EUV🌏 Daily collaboration with global teams🚀 Rapid skill growth in a high‑impact environment with cutting-edge AI technology🔍 End‑to‑end visibility across the manufacturing process . 📍 How to apply Click "apply now" belowto register the Speed Interview inApril 7(Tue.) - 13(Mon.) in Malaysia!

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: PhD degree in Computer Science, Electrical Engineering, or a related technical field. Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security. Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization. Experience in algorithms, complexity analysis, and system design. Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang. Preferred qualifications: Experience in areas such as algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or general systems. Expertise in designing and implementing complex systems for either production or experimental use. Proficiency in performance analysis or the analysis of systems data. Demonstrated success in publishing peer-reviewed articles in prestigious conferences or journals (e.g., ACL, KDD, SOSP, Nature). Availability to commence a full-time position in 2026. Exceptional engineering capabilities. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. We seek innovative engineers with various expertise, including information retrieval, distributed computing, large-scale system design, networking, data storage, security and AI/ML. Within Google Cloud, the AI and Infrastructure(AI2) organization is at the forefront of creating groundbreaking AI/ML capabilities. We are responsible for designing and managing the software, hardware, and Machine Learning (ML) systems infrastructure that power essential Google services such as Search and YouTube, as well as Google Cloud products.As a PhD Software Engineer within AI2, your specialized research expertise will be instrumental in solving complex, real-world problems on an unprecedented scale. You'll engage in innovative projects spanning areas like AI/ML, networking, data storage, security, and distributed systems.Responsibilities Define and drive the technical goal for next-generation distributed systems. Design, develop, and implement scalable, reliable, and high-performance large-scale distributed systems. Apply specialized research expertise to the design, analysis, and development of complex systems across the stack. Investigate, diagnose, and resolve technical issues by analyzing root causes and impact. Write and review code, ensuring adherence to best practices in style, accuracy, testability, and efficiency. 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.

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Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience in backend Infrastructure development. Experience in general purpose coding languages like C++, Go, or Python development. Experience with algorithms, data structures, software development, and distributed computing. Preferred qualifications: Experience designing reliable, fault-tolerant and high performance distributed systems. Experience with building cloud based services ideally with GCP. Experience with large-scale distributed systems or Machine Learning (ML) systems (training and serving for computer vision, speech recognition, natural language processing, machine translation models). Experience with reliability, large-scale distributed systems, Go, Google Cloud Platform, tensor processing unit (TPU), and service level objectives. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The TPU Infra team is the engine behind Google’s AI Hypercomputer, responsible for the technical strategy and execution of the Machine Learning (ML) Compute IaaS platforms. In this role, you will be architecting, implementing, and leading the infrastructure software solutions that manage the massive global fleet.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 Design and build scalable software capabilities to manage the availability, scheduling, and reliability of the Cloud TPU Hypercomputer stack (VMs, Networking, Storage, GKE etc.). Architect infrastructure solutions to ensure industry-leading availability guarantees for large-scale training and inference workloads. Develop telemetry and tooling to establish service level objectives (SLO) and service level agreements (SLA), and to enable rapid debugging of complex infrastructure issues across the fleet. Collaborate with platform, hardware, networking, and SRE teams to scale and manage accelerator capacity, including new TPU generations, ensure a seamless experience for customers. Design and implement reliable ML infrastructure that enables training and serving cutting edge models at massive scale, troubleshoot complex distributed system issues across the stack (hardware, kernel, network), build the automation, tooling, and telemetry needed to turn operational findings into permanent software fixes and improved SLOs. 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.

公司描述 我們是台灣領先的數位工具平台，致力於幫助全球超過 20 萬名創作者實現商業成功。過去我們實現了 20 倍的營收成長，並獲得多項新創大獎肯定。2026 年，我們正全面轉型為 AI-Native 開發模式，利用 Vibe Coding 與 AI 自動化流程重塑軟體開發效率。 職位亮點 ✅ 主導 AI 原生產品開發 (AI-Native)：深度參與 Vibe Coding 開發模式，利用新科技打造領先時代的 AI 產品。 ✅ 全權負責產品線規劃與推進：您將是產品主要負責人，獨立掌握從用戶需求、功能優先級到數據驗證的全局。 ✅ 落實 Data-Driven 決策模式：以數據為核心，透過產品驅動增長、轉換漏斗與用戶行為分析，驅動每一次迭代。 ✅ AI-First 的團隊文化與特色：我們不做客製化專案，專注於「產品效益最大化」。團隊已將 AI 融入日常流程，以「新系統」而非單一功能作為迭代單位。 職位職責 🔹 產品規劃與 UI/UX 設計：負責產品線的功能規劃，包含撰寫 PRD、繪製 Wireframe 與功能設計，並熟練操作 Figma。 🔹 AI 驅動原型開發 (POC)：運用 Vibe Coding 工具快速產出功能原型，並利用 AI 建立自動化工作流程。 🔹 專案控管與品質把關：具備卓越的時間管理與 QA 能力，作為 CEO、開發團隊與外部合作夥伴間的高效溝通橋樑。 🔹 數據監控與佈建：為產品規劃關鍵的轉換漏斗數據藍圖，透過數據分析找出 Insight，作為產品持續優化的依據。 🔹 敏捷開發實踐 (Scrum)：執行雙週 Sprint 與 Pre-sprint 會議，確保每一次開發都能創造實質價值。 職位要求 ✔ 3 年以上軟體業 PM / PD 相關經驗，具備 UI/UX 概念與設計能力。 ✔ 精通 AI 工具應用：已將 AI 融入日常工作流（如：流程自動化、數據分析或使用 Vibe Coding 打造原型）。 ✔ 卓越的數據驅動思維：具備 Data-driven 核心意識，能透過數據佈建與分析指導產品決策。 ✔ 強大的執行力與溝通力：能獨立完成任務，並在跨職能團隊間扮演關鍵的協調角色。 ✔ 成長思維與產品熱情：對軟體工具有高度關注，積極學習新方法並主動融入工作流程。 加分條件： 曾參與 1 → 10 的新創成長階段。具備 SaaS 工具或服務開發經驗。熟悉產品「市場化 (Launch Growth)」：能運用 AI 工具滿足用戶需求並創造流量。具備專業設計 (Product Design) 背景。 ---------------------------------------------------------------------- 若您對此職位感興趣，請立即聯繫，讓我為您介紹更多詳細資訊！ ▶︎ 聯繫人：招募顧問 Owen Wu▶︎ LINE： https://line.me/ti/p/ICjS8Jx0Dq▶︎ LinkedIn： https://www.linkedin.com/in/owen-wu-1023a41a4/