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Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Experience working with data science tools such as Jupyter notebooks, Open Telemetry, JMX and other monitoring solutions. Experience with Database optimizations - query and executor optimizations and Data lakes like Apache Iceberg, Apache Hudi, Delta lake, etc. Skills developing highly scalable Cloud or SaaS products. Deep expertise with OSS projects like Spark, Hive, Trino and in benchmarking and building custom benchmarks. 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. Join the Google Cloud Dataproc team and become a pioneer in the next generation of data processing, combining the best of open source with Google's planetary-scale innovation. We're not just managing Apache Spark and Hadoop clusters; we're fundamentally accelerating big data. For engineers passionate about the future of data, you'll be building an AI/ML-ready platform, leveraging native GPU support and specialized runtimes pre-packaged with PyTorch, TensorFlow, and RAPIDS, tightly integrated with Vertex AI for end-to-end MLOps. This is where you architect the unified, open lakehouse of tomorrow, seamlessly connecting with formats like Apache Iceberg, Delta, Hudi and providing enterprise-grade security and scale that empowers the world's most demanding data scientists and engineers.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 the development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Define the roadmap for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc. Drive the design and implementation of cutting-edge Data Lakes and Lake Houses, including Apache Iceberg and Hudi along with ehnancing the performance and efficiency of open-source technologies within the platform. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and comprehensive monitoring. Establish benchmarks to identify and resolve performance bottlenecks, ensuring large-scale Spark job certification. 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. 5 years of experience in program management, project management, or a similar role. Experience using data and key metrics to measure project success and inform future decisions. Preferred qualifications: Ability to manage multiple projects simultaneously and meet deadlines with strong organizational and time-management skills. Ability to work effectively with cross-functional teams, particularly with engineering, product, and operations stakeholders. Excellent investigative and problem-solving skills, with a demonstrated ability to navigate ambiguity and resolve project blockers. Excellent written and verbal communication skills, with the ability to create clear documentation and present status updates to various audiences. About the jobThe Global Business Applied AI - Strategic Programs for Automation, Resolution and Knowledge (GBAI-SPARK) team is a crucial part of our GBO's commitment to innovation and efficiency. GBAI is responsible for architecting and delivering AI-powered, intuitive, and connected solutions that amplify the value we bring to our customers and partners. GBAI-SPARK's core focus is on driving programs in technology and AI within our Support ecosystem, specifically through automation, customer support resolutions, and knowledge management.Responsibilities Manage the entire lifecycle of assigned programs, from initial scoping and requirements gathering to launch and post-launch analysis. Develop and maintain detailed project plans, including scope, milestones, timelines, dependencies, and resource needs. Own the execution and successful delivery of your assigned initiatives on the strategic tool roadmap. Develop and provide regular, clear, and concise status updates on your programs to stakeholders and the management team. Identify, track, and actively work to resolve project blockers and issues before they impact timelines. Serve as the direct point of contact for and partner closely with Product, Engineering, and Operations teams to ensure the successful design, development, and implementation of new tools. 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 one or more general purpose programming languages, including Java, C/C++ or Python. 3 years of experience with software design and architecture. 3 years of experience with open source or developer technologies. Experience in software development and engineering, incorporating design methodologies, leveraging open source technologies, and working with distributed computing systems, including Apache Spark, Apache Hadoop, and Apache Hive, with performance. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. Experience in query processing and database internals. Experience with big data technologies. Ability to work effectively across teams in a distributed environment. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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 development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Define the roadmap for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc. Establish benchmarks to identify and resolve performance bottlenecks, ensuring large-scale Spark job certification. Enhance the performance and efficiency of open-source technologies within the platform. Drive the design and implementation of Data Lakes and Lake Houses, including Apache Iceberg and Hudi. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and comprehensive monitoring. Collaborate with Google Cloud Platform (GCP) infrastructure teams to bring the latest GCP features to Dataproc users. Position Cloud Dataproc as the optimal choice for data science, ML and AI workloads. 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.

身為風控數據工程師，你將負責設計、建置與維運公司的數據基礎設施（Data Platform），確保數據在收集、處理與存取過程中的穩定性、正確性與高效性。 你將與風控團隊緊密合作，透過數據工程與自動化技術，將龐雜的數據轉化為具決策價值的洞察，支持公司在風險管理與策略決策上的持續成長。 【主要職責】 1. 數據管線開發與維運 - 設計、開發並維護 ETL/ELT 流程，整合內外部異質數據來源，確保數據高品質與穩定性 - 建立與維護數據模型（Data Modeling），確保架構具可擴展性並符合業務需求 - 建置監控與告警機制（Alerting Monitoring），即時偵測異常並優化資料流程 2. 數據產品與分析支援 - 與風控、業務及數據分析團隊合作，理解需求並提供適用的數據解決方案 - 設計並開發自動化分析報表與 Dashboard，支援風控監測、產品分析及策略決策 3. 數據平台建置與管理 - 維運與優化數據平台（Data Platform），確保高可用性、可擴展性與安全性 - 管理與調校數據計算資源（如 Spark、Presto），提升效能與資源使用效率 - 建立數據治理（Data Governance）機制，確保資料品質、安全與合規 4. 系統監控與效能優化 - 監控並分析數據系統效能，持續進行架構優化與資源配置調整 - 優化查詢與處理效率，提升系統反應速度與可靠性 - 針對異常數據或流程問題，提供修復與長期優化方案

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience with data structures/algorithms. Experience with Open Telemetry, JMX and other monitoring solutions. Experience working with data science tools such as Jupyter notebooks. Experience with Database optimizations such as query and executor optimizations and data lakes like Apache Iceberg, Apache Hudi, Delta lake, etc. Expertise in OSS projects like Spark, Hive, Trino, etc. 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. Google Cloud Dataproc is a fully managed service for running open-source data processing frameworks such as Apache Spark, Hadoop, Flink, Trino and more on Google Cloud. It simplifies the deployment, scaling, and management of big data clusters, allowing users to focus on analytics and data science instead of infrastructure.Join the Google Cloud Dataproc team and become a pioneer in the next generation of data processing, combining the best of open source with Google's planetary-scale innovation. We're not just managing Apache Spark and Hadoop clusters; we're fundamentally accelerating big data with breakthroughs like the Lightning Engine, a new proprietary execution layer delivering up to 4.3x faster query performance and massive cost savings without code changes.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 the development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Drive the design and implementation of data lakes and lake houses, including Apache Iceberg and Hudi. Define the roadmap for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and comprehensive monitoring. Position Cloud Dataproc as the optimal choice for data science, machine learning, and artificial intelligence workloads. 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.

【關於 Pinkoi Data Squad】我們是 Pinkoi 的資料團隊，其目標為打造有效的數據平台，同時確保資料的品質與穩定性，讓資料在 Pinkoi 發揮最大的價值。Data Engineer 將與 Business Analyst／ML Engineer 緊密合作，透過數據探索問題、規劃後續的 Data Pipeline（資料管線） 實作，並提供 End-to-end 的 Data Solution，以擴展公司各部門的數據分析能力，並完善整體商業智慧系統。你需要負責的工作內容與產品、行銷、廣告等分析師與商業團隊合作，理解需求並規劃合適的 Data Pipeline。設計、實作與維護 ETL/ELT 流程，確保資料品質、穩定性與新鮮度。建立與優化資料模型，支援報表、分析與機器學習等多種場景。持續迭代並優化資料基礎建設，提升可擴展性與維運效率。建立監控與告警機制，確保 Pipeline 成功率與資料 SLA。我們希望你有的經驗跟特質對 Big Data 和 Data-driven engineering 有極大的熱情。瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力。具備與產品 / 行銷團隊合作的經驗，並可與商業分析師、資料工程師，以及機器學習工程師協同合作。樂於學習最新的技術，隨時充實自我的專業技能。對大型語言模型（LLM）保持開放與好奇，願意學習並嘗試將其應用於資料工程工作（如：資料清理、欄位補全、文件生成、自動化測試），以探索新工具如何提升效率與使用者體驗。應徵條件數學 / 統計 / 資訊 / 資料科學相關科系畢業，或具備同等專業能力。一年以上數據分析或數據工程相關工作經驗。熟悉 Python、Scala、Java 等任何一種程式語言，Pinkoi 主要用 Python。熟悉 GNU/Linux 系統，Pinkoi 用 Ubuntu。熟悉關聯式資料庫的運用，例如 MySQL。加分條件熟悉廣告歸因邏輯，或具備相關數據處理經驗。具備使用者行為數據處理經驗。具有操作或架設 BI 工具的相關經驗。如 Superset、Tableau、Looker Studio，Pinkoi 使用 Superset 和 Redash。具有分散式運算的相關知識，例如 Spark、Hadoop、Hive 等一種或多種相關技術，Pinkoi 主要用 PySpark。熟悉雲端服務，例如 AWS Athena、S3、Glue，GCP BigQuery 等，Pinkoi 主要用 AWS。了解 dbt 的基礎架構和應用方式，如建立資料模型、撰寫測試、建立巨集等等。有將 LLM 應用於資料工程場景的經驗，例如規則抽取、欄位對齊與補全、文件／Data Catalog 生成、資料品質檢查等。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷與小作業，即刻應徵！

我們正在尋找一位能設計與建置 可擴展的資料平台，並推動資料基礎設施升級的工程師。此職位將與團隊合作，從 資料源頭→ pipeline → Lakehouse → dashboard → AI 應用，全面性地規劃與執行。【工作內容】資料平台與基礎建設• 設計與維護 資料管線(CDC, Streaming, Batch)，整合Debezium + Kafka + Spark + Iceberg Catalog。• 建立 Lakehouse 架構，支持 Bronze / Silver / Gold 分層數據治理。• 使用Airflow + dbt 進行workflow 與transformation orchestration。• 協助資料治理 (lineage, catalog, metadata)，確保數據準確性與可追溯性。Dashboard 與數據應用• 與商務團隊合作，設計營運報表、用戶行為數據追蹤、BI dashboard (Superset, Metabase)。• 優化數據模型與SQL 查詢，提升報表效能與準確度。技術迭代與專案交付• 規劃並推動資料平台升級，將現有系統轉換至 Modern Data Stack。• 撰寫技術文件，制定測試策略，並進行團隊知識分享。• 確保數據平台的 高可用性、安全性與可擴展性。未來支援方向• 規劃 推薦系統、搜索服務、內容審查 等應用場景的數據支援。• 建立feature store、近即時數據處理，支持Machine Learning pipeline 與生成式AI專案。

Meitu Inc. is one of the world’s leading photo and video editing companies, empowering hundreds of millions of users across more than 190 markets to create, enhance, and share their stories via art and technology. With a strong foundation in AI and AIGC innovation, we continuously evolve our product features and user experience to stay at the forefront of visual creativity. At Meitu Inc., you’ll join a team that is passionate about helping users express themselves visually, while driving meaningful growth in global markets. We experiment boldly, act on data-driven insights, and embrace fast-changing cultural trends to design campaigns that resonate with users worldwide. If you are excited about shaping the future of creativity, curious about global market dynamics, and eager to contribute to app growth, this is your opportunity to make an impact at a company that blends cutting-edge technology with everyday creativity.──────▍About The Role:The Marketing Associate role will be based in Taipei and will be responsible for shaping and executing market entry strategies for Meitu and other group products in North America. This role will lead the planning and delivery of marketing initiatives that grow user acquisition, drive subscription revenue, and spark engaging social conversations around our brand and apps.The right candidate is a creative and strategic marketer who combines strong local insights with a global mindset and hands-on attitude. They will translate cultural and social trends into impactful campaigns, manage collaborations with local agencies and influencers, and design both in-app and social activations that resonate with users in the United States and others. We are looking for someone who brings bold thinking, agile execution, and an ability to elevate both our creative excellence and business results.──────▍In this role you will:• Develop user-centric, data-driven marketing and user growth strategies to achieve user and revenue targets.• Operate digital marketing tools, manage local social media accounts, and manage collaborations with overseas influencers.• Identify local market trends and user preferences, and work cross-functionally to implement localized operations strategies.• Develop and maintain local marketing and media resources, and manage cooperation and communications.• Manage the project execution progress of related interns/outsource staff.• Strong English skills; proficiency in additional language is a plus.• Foreign candidates should have basic Chinese communication skills.──────▍We are looking for someone who: • 3+ years of marketing experience, with expertise in in-app campaigns, influencer marketing, and social media engagement.• Skilled at turning data-driven insights into effective market entry and users growth strategies.• Strong familiarity with video or photo editing apps and a keen interest in photography and creative expression.• Deep awareness of North American social media trends and ability to translate them into impactful marketing ideas.• Proven experience managing marketing agencies and building collaborative partnerships.• Agile, proactive self-starter who thrives in fast-paced environments and communicates with clarity.• Strong storytelling and analytical skills, able to create campaigns that spark conversation and drive results.──────▍Exceptional candidates will have...• Experience driving user growth for mobile apps.• First-hand experience living, studying, or working in the US.• Strong interest in photography and social media trends across North Americancommunities.(Base in Taiwan)

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience. 6 years of experience building ML models for different use cases (e.g., tabular data, images, video, speech, unstructured text), and building production ML models with TensorFlow, Keras, PyTorch, JAX, Spark ML, or Scikit Learn. 2 years of experience coding in one or more of the following languages: C, C++, Java, or Python. Experience working in a cloud environment (e.g. Google Cloud or similar). Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders. Preferred qualifications: Master's degree or PhD in Computer Science, Mathematics, or other quantitative field, including ML related work. Experience working in a fast-moving technology area, while being comfortable working in a dynamic and ambiguous environment. Experience conducting data and ML technical training or in client-facing technical consulting role. Experience taking on new materials and delivering them to clients/students, with a passion for learning and continued self-development. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive). About the job As a Machine Learning Solutions Engineer, you will be focused on delivering, creating, and maintaining Machine Learning and Generative AI content for ASL participants. You will be working side by side with our customers, helping them apply AI and Machine Learning to their specific business use cases. You will be leading the ‘day to day’ experience for participants of the Advanced Solutions Lab. Therefore you will always be working to improve the offering, including recommendations on curriculum enhancements, identifying and engaging Google Machine Learning (ML) experts to support various sessions in the program, or making recommendations on open-sourced models, frameworks, and toolkits.In addition to your work in the Advanced Solutions Lab, you will also be a member of the wider Google AI and machine learning community. You will collaborate with other AI experts from across Google, work on research and engineering projects, or on customer engagements that deliver impact on the world.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 Own the success of each ML Advanced Solutions Lab experience by delivering excellent content, identifying ML experts across Google to support specific sessions and providing ongoing curriculum enhancements. Lead and support customers' AI/ML projects from project framing to implementation in the Advanced Solutions Lab. Design AI/ML curriculum by understanding market and customers’ needs, and develop materials collaborating with the team and AI/ML experts across Google. Stay informed of developments in AI/ML and network across the Google Cloud ML research community, to provide ASL participants with knowledge and opportunities for interactive engagements with other Google ML experts. Act as an AI/ML SME within the Google Cloud Consulting team and support other ML activities as they arise. 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.

** 加入我們，成為門店部門經理！ 熱愛運動，想用你的熱情啟發更多人嗎？ 在這裡，你將領導我們的其中一個運動品類 —— 露營與登山運動、滑雪與水上運動、健身、單車、團隊球類運動 —— 透過全通路的方式，為顧客打造難忘的運動體驗。 ** 工作職責｜讓運動走進每位顧客的生活 -推廣運動與永續價值：透過全通路銷售與服務，將優質產品與永續理念帶給顧客，滿足多元需求。 -創造沉浸式購物體驗：用心規劃商品陳列與門店氛圍，激發顧客探索與嘗試產品的熱情。 -引領運動品類成長：負責所屬運動領域的發展，達成商業目標與業績表現，並培養夥伴的自主成長。 -確保門店高效運作：管理日常營運，維持安全環境、充足人力及穩定庫存，確保顧客隨時能找到所需。 -帶領並發展團隊：實施管理制度、提升夥伴自主性，並確保遵守各項勞動法規。 ** 專屬你的福利 -休息好再出發：滿一年即享 10 天年假 -享受運動購物樂趣：員工專屬折扣 -為地球加油：永續通勤獎勵 -運動不怕荷包縮水：津貼與補助 -運動夥伴一起 FUN：多元社團與活動 -努力有回報：達標分紅獎金 -安心無憂：免費員工團體保險 -健康由我們守護：每年免費員工健檢 立即申請，把你的運動熱情變成職業！** Join Us as a Store Department Manager!Do you love sports and want to inspire others with your passion?Here, you’ll lead one of our sport categories — Camping Mountain Sports, Skiing Water Sports, Fitness, Cycling, or Team Sports (Balls) — and create unforgettable sports experiences for our customers through omnichannel solutions.** Job Responsibilities | Bringing Sports into Every Customer’s Life- Promote Sports and Sustainability –Deliver high-quality products and sustainable values through omnichannel sales and services to meet diverse customer needs.-Create Immersive Shopping Experiences – Thoughtfully plan product displays and store ambiance to spark customers’ curiosity and inspire them to try our products.-Lead Sport Category Growth – Develop your assigned sport category, achieve business targets, and nurture your teammates’ autonomy and growth.-Ensure Efficient Store Operations – Oversee daily operations, maintain a safe environment, ensure adequate staffing, and keep inventory well-stocked.-Lead and Develop Your Team – Implement management processes, enhance team autonomy, and ensure compliance with labor regulations.** Exclusive Benefits for You- Recharge and refresh: 10 days of annual leave after your first year- Enjoy sports shopping perks: Exclusive employee discounts- Support the planet: Sustainable commuting incentives- Stay active without the extra cost: Sports allowances and subsidies- Share the fun: Diverse sports clubs and activities- Be rewarded for your effort: Performance bonus upon achieving targets- Peace of mind: Free group insurance for employees-Your Health Matters: Free annual health check-up Apply now and turn your passion for sports into your career!