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At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in software engineering, software infrastructure engineering, security, big data and analytics, cloud computing, or cloud networking. Experience with infrastructure, storage, platforms and data, as well as the cloud market and customer buying behavior. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience in technical sales or consulting in cloud computing, data analytics, and big data. Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems. Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures. Understanding of customer requirements with the ability to break down requirements and design technical architectures. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to perform designing of data foundation architectures and develop MVPs (Minimum Viable Products) to promote new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development. You will leverage excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.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 win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case identification, technical evaluation, and through customer ramp. Combine business strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. Provide critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues. 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.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 2 years of experience with two or more of the following: web tech, data/big data, systems admin, machine learning, networking, Kubernetes, Oracle, SAP. Experience with debugging codes written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks. Preferred qualifications: Experience in customer advocacy. Experience with Linux/Unix or other operating systems (Kernel to Shell, file systems, client-server protocols). Knowledge in Web application development/deployment, HyperText Transfer Protocol (HTTP)/RESTful Application Programming Interface (API) troubleshooting, or database design/troubleshooting. Knowledge of networking fundamentals (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP), routing, Virtual Private Networks (VPNs)). Excellent communication and technical presentation skills for multiple audiences. Excellent problem-solving and investigative skills, with attention to detail. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will own the customer issues with providing level two support to the other support teams. You will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.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 Develop an understanding of Google Cloud's data analytics (e.g., BigQuery) and underlying architectures by troubleshooting, reproducing, and planning the root cause for customer-reported issues, building tools, and diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, business, and customer organizations to resolve technical deployment issues and improve Google Cloud. Work as part of a team of engineers and consultants that ensure customer support globally. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, and drive quality production. Work with customers on their production databases. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in a sales role in the enterprise software or cloud space. Experience selling data analytics or data management technologies to clients. Experience with Business Intelligence (BI), data analytics middleware, or data warehouse technologies. Preferred qualifications: Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework). Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Pub/Sub). Ability to engage audiences through social channels, deliver messages that inspire customers. Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics. Excellent problem-solving skills, using data to inform decisions and influence stakeholders. About the jobAs a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what’s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world. As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver the business value, demonstrate product functionality and provide an overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and business plays, manage campaigns, and provide feedback to Product and Global Solutions Teams to inform our product solutions road map. You will shape customers' cloud and Data Analytics strategy and enable digital transformation. You will lead with empathy, while identifying ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.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 Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory. Build and maintain relationships with customers as the data analytics subject matter expert, influencing the direction. Develop and execute account plans, including an enterprise plan across key industries. Focus on building accounts. Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and business impacts. Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Applicants to this role must have work authorization in Australia. This role is not eligible for work visa sponsorship.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in promoting analytics, data warehousing, or data management software. Experience with planning, pitching, and executing a territory business strategy. Experience in working with sales engineers and customer technical leads to build business cases for transformation and plans for implementation. Preferred qualifications: Experience with market leading Business Intelligence (BI), data analytics middleware, or data warehouse technologies. Knowledge of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, Extract, Transform, and Load (ETL) and data governance, predictive analytics, data science framework). Knowledge of Google Cloud Data and Analytics (e.g., BigQuery, Looker, Pub/Sub). Ability to engage with audiences through social channels and deliver messages. Ability to collaborate with executive stakeholders as a business advisor and thought leader in data and analytics. Excellent business and investigative skills with using data to inform decisions and collaborate with stakeholders. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will build an understanding of customer's businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with Account teams, Customer Engineering, and Partners to ensure customer results.Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 Calibrate business against the objectives and key results, and report the state of the business for the assigned territory. Build and maintain executive relationships with customers as the data analytics subject matter expert. Develop and execute account plans including enterprise plans across key industries. Focus on building accounts. Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, providing solution differentiation and business impact. Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Applicants must have a right to work in Australia as Google is currently unable to sponsor a visa for this position.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in a sales role in the enterprise software or cloud space. Experience selling data analytics or data management technologies to clients. Experience with relevant technical stacks and Google Cloud Data Analytics offerings (e.g., Predictive Analytics, Hadoop/Spark Data lakes). Experience in a leadership role within a quota-carrying team, such as people management, team lead, mentorship or coaching. Preferred qualifications: Experience with people and business management, supporting career development of a high-performing sales team and business growth. Experience planning and organizing go-to-market strategies, business programs, and sales activity within the team and territory. Experience in, or supporting, travel, logitstics, energy, or manufacturing industries. Experience influencing cross-functional teams to impact business goals, customer experience, and expansion. Understanding of relevant products, solutions, and market trends, with the investigative abilities to analyze sales performance data or market changes, to drive strategic direction. Excellent problem-solving, communication, presentation, active listening, and program management skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data Analytics Sales Specialist Manager, you will lead a team responsible for growing our Data Analytics business by building and expanding relationships with new and existing customers. You will effectively build relationships with internal stakeholders (e.g., Field Sales, Customer Engineering, Solution Architecture, Product) and customers, supporting the team to do the same. You will ensure your team has the necessary selling skills to demonstrate product functionality and comprehensive overviews of key business use cases, and close business. You will support a positive, high-performing team culture, while leading with empathy and identifying innovative ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.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 Foster a positive and high-performing team culture, support the team to drive a pipeline, manage business-cycles from lead generation to customer onboarding, and meet and exceed business goals. Develop and own the go-to-market (GTM) plan to scale and impact your business in key areas, including business, new customer growth, expansion, and referenceability. Partner with Field Sales, Marketing, Customer Engineering, Customer Success, Channels, Product, and Engineering to understand customers needs, impact messaging and collateral, and provide excellent prospect and customer experience. Expand relationships to influence long-term tactical direction and be a trusted advisor to your team and their accounts. Inspire executives at prospective customers to partner with Google. Represent your business in forecasts, town halls and meetings, report forecasts and business performance in Salesforce and other 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in pre-sales or field engineering at an enterprise technology company, or similar customer facing experience. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience in pre-sales management or people management on a data analytics-related or technical team. Experience with data analytics technologies or concepts, cloud, and on-premise technologies. Preferred qualifications: Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion. Experience tailoring and delivering compelling messages to audiences, asking strategic questions, and leading conversations that drive business opportunity. Specialization in "Big Data," including analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. Thought leader in data analytics and adjacent practice areas, specialized in technical sales and strategizing around holistic customer and industry solutions. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. Specialist Customer Engineers seek to accelerate Google Cloud customer success by providing domain-specific technical expertise, while responsibly influencing products and solutions.As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.Applicants must have a right to work in Australia as Google is currently unable to sponsor a visa for this position.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 a team of technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development, and opportunity coverage to deliver successful cloud transformation outcomes for customers and accelerate business goals. Execute the technical vision and strategy for your region’s data analytics practice. Lead the broader region's data analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing. Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled. Lead technical engagements with strategic customers, working with cross-functional peers to plan customer engagements. Travel up to 25% to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts. Experience in managing data workflows using tools like Airflow, dbt, or Prefect. Experience in building and querying data within BigQuery, Snowflake, or Redshift environments. Experience in developing operational dashboards using Looker, Tableau, or Power BI. Preferred qualifications: Experience working with semiconductor manufacturing data or large-scale industrial datasets. Ability to manage complex data exchanges and integration workflows with external foundry or assembly partners. Ability to identify manufacturing anomalies and to explain architectures to non-technical stakeholders. 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. As a Machine Learning Data and Analytics Engineer, you will be the architect of manufacturing intelligence. You will design, build, and maintain the data infrastructure that transforms fragmented information from the global partners into a cohesive, high-performance data ecosystem. Your work will directly enable the operations team to monitor production health, optimize yields, and make data-driven decisions in real-time.The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.Responsibilities Design and deploy scalable pipelines to manage high-volume manufacturing data, including wafer maps, test results, and quality reports. Build automated tools to clean and normalize disparate data formats from foundry and assembly partners, ensuring a single source of truth. Create and maintain intuitive visualizations and high-impact dashboards to monitor critical KPIs and production health metrics. Develop and optimize data schemas that support high-speed ingestion and complex investigative querying for real-time decision-making. Partner with Operations and Engineering teams to translate business requirements into technical solutions while ensuring platform reliability and performance. 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.

建構與優化機器學習模型: 運用多維度運動數據（如賽事數據、球員表現），開發球員薪資計算、表現預測等核心模型，並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢，提供數據洞察，協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能，例如自動化產出運動新聞與球員動態，豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程，提升團隊整體開發效率。

Join Our Fast-Growing APAC Team! Are you a data-driven problem solver with strong Python and SQL skills? Do you have a keen eye for detail and a passion for optimizing financial processes through data analysis? If so, we want to hear from you! In this role, you will play a key part in delivering high-quality customer data analysis and quality assurance to support our internal financial control function. You will also help the Revenue Operations team uncover valuable customer insights through data analysis on our existing inline services. As inline continues its rapid expansion across APAC, we are looking for highly detail-oriented individuals with strong analytical capabilities to derive insights from diverse data sources. Fluency in English is a plus, as this role involves communication with global partners. We value proactive problem-solvers who take ownership of their work, manage their time efficiently, and continuously seek to improve workflows and documentation. If you're passionate about financial data analytics and eager to drive meaningful impact, this role is for you!What You Will Do Data Analysis & Optimization Python & SQL are essential – use them to automate, analyze, and optimize financial data.Enhance and optimize the billing system using Google Apps Script (GAS) to enable automation.Analyze customer payment behaviors and propose data-driven solutions to improve collection efficiency.Monitor and analyze monthly revenue performance to ensure accuracy and financial health.Maintain clean, structured, and well-documented financial data dashboards for better decision-making. Billing & Accounts Management Set up, manage, and optimize billing systems to improve efficiency.Support customer billing inquiries, ensuring clarity and resolution.Enhance the customer payment experience, making transactions seamless.Maintain accurate financial records and ensure proper cash flow tracking.Conduct regular follow-ups with domestic and international clients via calls, emails, and meetings.Standardize billing processes and ensure invoice accuracy. Process Management & Documentation Accurately track internal and external requests, process information quickly, and resolve issues.Develop and maintain clear, well-structured documentation to improve operational efficiency.Implement and maintain daily, weekly, and monthly productivity and quality metrics based on department needs.

About the job：作為團隊中的軟體工程師，您將在打造次世代電池管理系統 (BMS) 的核心骨幹中扮演關鍵角色。我們位於軟體、韌體與硬體的交會點，致力於解決直接影響能源效率與系統可靠性的真實世界挑戰。您不只是在寫程式，更將負責架構模組化且高效能的 Rust 系統。您將與前端、韌體及硬體工程師緊密合作，設計 API、管理複雜的非同步任務，並建立與邊緣裝置 (Edge Devices) 之間的橋樑。我們是一個崇尚開源貢獻與技術卓越的實踐者團隊。如果您對 Rust、系統程式設計以及建構能與物理世界互動的軟體充滿熱情，這就是適合您的職位。Responsibilities：- 設計並維護高效能、可重用的 BMS 後端服務，並與前端、韌體及硬體工程師緊密協作。- 開發用於大規模系統驗證、自動化診斷、組態管理及運作指標收集的系統級軟體。- 主動參與架構決策與團隊內的開源專案，推動技術創新。Our Tech Stack：我們使用現代化、高效能的工具來解決複雜問題。我們重視型別安全 (Type Safety)、可重現性 (Reproducibility) 及非同步效率。- Core Backend: Rust, Tokio, Actix- Data Analytics: PostgreSQL (SQLx)- Embedded Systems: Embassy- Infrastructure Tooling: Nix, Gitea- Workflow: Waterfall, Kanban, Scrum