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負責開發、更新和維護主要產品「車麻吉」的功能與產品經理、設計師和後端團隊緊密合作，參與產品設計和開發使用 Slack、Notion 和 ClickUp 等協作工具與團隊互相合作 車麻吉－打造卓越行車體驗 車麻吉是一個致力於為全世界車主提供最佳行車體驗的應用程式！ 我們不僅提供加油和停車服務，還結合了數位支付等多種行車場景。 「與車麻吉一同出發，沿路將是最美的風景。」 行車領域創新技術領導者 除了行動裝置開發，我們也注重在行車領域的技術發展。 作為 Apple 蘋果爸爸 CarPlay 和 App Clips 的重點合作夥伴，我們持續開拓行車領域的可能性： 車麻吉 App 支援 Apple CarPlay、Android Auto 車載雙系統 iOS 14 推「輕巧 App」，台灣新創車麻吉、券券登 Apple 官網成為重點合作夥伴 我們正在尋找和我們一樣充滿熱情的夥伴 加入我們的團隊，讓我們攜手合作，共同打造出卓越的行車體驗！

你是對產品有熱情、對技術有野心的 iOS 工程師嗎？ 你喜歡快速學習、主動嘗試，想參與產品從 0 到 1 的成長？ 歡迎加入 i-TRUE（艾思網絡股份有限公司），我們是國內最大化妝品使用心得及排行榜綜合網站@cosme Taiwan(前身UrCosme,2004年創建)在台營運20年，為國內消費者找尋化妝品使用心得及排行榜綜合資訊的主流網站，隸屬於日本上市公司istyle Inc.集團。除日本、台灣外，在香港、大陸、韓國、美國等地，亦有集團旗下化妝品社群/電商/零售等相關事業營運。現在正朝向 AI 賦能與全球化服務邁進。 我們在找的 iOS 工程師： 具備原生 iOS(Swift)開發經驗熟悉 App 上架、維運與基本 UI/UX 架構具備獨立開發與 debug 能力，勇於挑戰問題若有 Android 開發經驗加分(我們雙平台皆有開發)對 AI 技術應用或跨國服務架構有興趣大加分！ 你將參與： 維運與優化 @cosme TW / HK App與各國協作，支援 @cosme 的 Global App 開發將 AI 技術導入平台，打造「以消費者為中心」的智慧消費體驗 在這裡，我們相信工程師不只是寫程式的人，而是 「創造價值」的關鍵角色。

1.負責軟體之分析、設計以及程式撰寫，包含生產管理、物料用量、原料用量等Web Base應用管理系統。2. 負責行動裝置應用APP開發(於Android Studio環境，使用Kotlin開發)。3.規劃資料庫架構設計、程式開發撰寫、測試上線，並控管專案開發進度。4. 有表單電子化系統開發與維護經驗者尤佳5.進行相關系統維運及異常排除。6.軟體開發新技術與新工具導入。『具工作經驗者，薪資另議』

【職缺描述】 打造千萬用戶量級的掌上型體驗 TVBS 的行動應用程式 (App) 是我們觸及數百萬用戶、傳遞新聞資訊與影音內容的核心渠道。我們追求的不僅是功能的實現，更是流暢的互動體驗、毫秒必爭的效能，以及穩健的程式架構。 我們正在尋找經驗豐富的資深 app 開發工程師，您將是我們 app 產品的技術核心。您需要利用對 Swift 或 Kotlin 或 Flutter語言的深刻理解，主導 App 的架構演進，並解決複雜的效能挑戰。在這個角色中，您將有權力定義技術規範、引導團隊成員，並直接影響最終用戶的滿意度。如果您對打造頂級 App 充滿熱情，並樂於在快速變化的媒體環境中接受挑戰，誠摯邀請您加入。 【主要職責】 (Responsibilities) App 架構主導與演進： 負責 iOS 或 Android App 的架構設計、重構與優化。評估並導入新的技術和設計模式（如 MVVM, VIPER, Clean Architecture），確保架構的可維護性與擴展性。效能瓶頸突破： 深入分析並解決 App 效能問題，包括啟動速度優化、記憶體管理、UI 流暢度調校，以及網路請求效率提升。程式碼品質與團隊指導： 主導 Code Review，制定並推行開發規範 (Coding Standards)。提供技術指導 (Mentorship)，協助團隊成員共同成長。核心功能開發： 與產品經理、UI/UX 設計師及後端工程師緊密協作，交付高品質的核心功能，並確保最佳的使用者體驗。技術探索與創新： 持續研究 iOS 平台新技術（如 SwiftUI, Combine, Concurrency），評估其可行性並應用於實際產品中，推動團隊技術創新。 TVBS開發團隊對於軟體的品質有最高的要求。我們致力於以穩定的開發速率，持續地交付有價值的軟體來滿足客戶需求，並以全局為考量穩定改善團隊以及消除多餘的浪費。我們深信最佳的架構與設計皆來自於能自我組織的團隊，歡迎有相同信念的朋友一起加入！【職務內容】1. 設計並建置 iOS or Androi平台應用程式2. 與跨職能團隊共同合作開發3. 依需要撰寫良好自動化單元測試4. 修復應用程式bug，並持續改善效能5. 輔導跨職能Scrum團隊與Product Owner協同開發 Job Description Crafting Mobile Experiences for Millions of Users TVBS's mobile applications are central to how we reach millions of users, delivering news and video content daily. We pursue not only feature completion but also a seamless interactive experience, millisecond-level performance, and a robust application architecture. We are looking for an experienced Senior app Developer to be the technical cornerstone of our iOS or Androidproducts. You will leverage your deep understanding of Swift or Kotlin or Flutterto lead the evolution of our app architecture and solve complex performance challenges. In this role, you will have the authority to define technical standards, mentor team members, and directly influence end-user satisfaction. If you are passionate about building top-tier applications and thrive on challenges in a fast-paced media environment, we sincerely invite you to join us. Key Responsibilities Application Architecture Leadership: Lead the design, refactoring, and optimization of the mobile application architecture. Evaluate and implement new technologies and design patterns (e.g., MVVM, VIPER, Clean Architecture) to ensure maintainability and scalability.Performance Bottleneck Resolution: Conduct in-depth analysis and resolution of app performance issues, including startup time optimization, memory management, UI rendering smoothness, and network request efficiency.Code Quality and Mentorship: Lead code reviews and establish coding standards. Provide technical mentorship to help team members grow professionally.Core Feature Development: Collaborate closely with Product Managers, UI/UX Designers, and Backend Engineers to deliver high-quality core features and ensure optimal user experience.Technology Research and Innovation: Continuously research new iOS technologies (e.g., SwiftUI, Combine, Concurrency), evaluate their feasibility, and apply them to products to drive team innovation.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience with the software development life cycle and managing engineering programs. Experience with designing and executing A/B testing, incrementality testing, or advanced measurement frameworks and statistical modeling. Preferred qualifications: Experience leading large-scale, complex programs to deliver innovative and high-impact solutions. Experience in software programming or with scripting languages (R, SQL, Python, etc.). Experience applying advanced statistical modeling and quantitative methods to drive data-informed decision-making. Experience translating business challenges into structured analysis. Experience with the digital advertising ecosystem. Strong stakeholder management and communication skills. 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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Responsibilities Serve as a high-level individual contributor and thought leader, partnering with App Ads engineering and product leads to facilitate strategic, data-driven decision-making and facilitate cross-functional knowledge sharing. Conduct sophisticated quantitative analysis of performance metrics and market dynamics to drive business outcomes and long term product strategy that align with KPIs. Lead the development of advanced experimentation and measurement frameworks to design business-critical tests that deepen understanding of the ads ecosystem and refine product roadmaps. Design comprehensive data tracking plans and infrastructure for new feature launches, performing deep dives into session-level trends to prioritize engineering resources and identify growth opportunities. Build centralized business metric hubs to monitor key performance drivers, providing early intelligence on competitive risks, market opportunities, and the overall health of the App Ads business. 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. 3 years of experience with Android application development. 3 years of experience in a technical leadership role; overseeing projects, and 2 years of experience in a people management, supervision/team leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 3 years of experience working in a complex, matrixed organization. Experience building large-scale platforms with high impact and consumer facing. 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 Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.Responsibilities Lead, mentor, and manage a team of engineers, fostering their career growth and performance through feedback. Define and drive the technical goal and roadmap. Contribute to User Interface (UI) redesign of Play Games app to make it an appealing destination for gamers. Lead a new team in Bengaluru through the phased roadmap (e.g., Refresh, Delight, Expand), ensuring execution aligns business objectives. Partner with cross functional teams to integrate individual features into the Play Games app. Use AI during the feature development process to maintain high velocity. Be the technical anchor responsible for translating the product goal into a cohesive, scalable architecture. Maintain a high bar for code quality to ship impactful features and experiments quickly. Own a full lifecycle of features for our users, including writing high-quality code, testing, and deployment. 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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience in addressing relatively well-scoped business problems and developing corresponding investigative solutions, including extracting and manipulating large datasets, and applying statistical methods to arrive at answers. Ability to handle multiple assignments simultaneously in a fast-paced environment. Ability to present to stakeholders and communicate effectively with highly technical leadership teams. Deep interest and aptitude in data, metrics, analysis and trends; applied knowledge of measurement, statistics and program evaluation. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Our team's mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.As a Data Scientist in Product on App and Ecosystem Trust team, you will work with multiple stakeholders across Product, Engineering and Operation teams to define metrics and deliver actionable insights to drive product and engineer key decisions. Analysis will span ecosystem impact, policy compliance, review efficiency and model efficacy. You will be responsible for translating data into meaningful recommendations and, where relevant, implementing process improvements. You will work collaboratively across functions including product management, engineering, operations and program management.Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.Responsibilities Develop, own and evolve investigative frameworks providing a source of truth measures for the organization. Work closely with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPIs) and other success measurements. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations. Conduct in-depth revealing opportunities and risks, enabling the team to understand trends and prioritize resources. Work with large, internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. 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. 2 years of experience in digital advertising, consultative sales, digital media sales, business development, online media environment, or digital marketing role. Ability to communicate in English and Korean fluently to communicate in this customer-facing business role. Preferred qualifications: Experience working with clients and building relationships with executive-level stakeholders. Proven track record of meeting or exceeding sales while building pipeline and pitching Google Ads solutions. Understanding of the digital marketing landscape. Understanding of the app marketers and App ecosystem. Ability to be proactive, organized, responsible, and work well in a team. Excellent communication skills, with the ability to pitch comprehensive advertising solutions. About the jobBusinesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. As a Growth Manager, you will be part of a team dedicated to helping GCS app-first clients grow their App or Gaming businesses using Google Ad products and services. You will advise on app marketing strategies which will help our partners achieve their user acquisition goals, and be an expert and advocate for mobile app advertisement within Google. You'll reach out to clients with solutions and insights, from account optimizations, to product betas, to strategic performance reviews in order to build comprehensive solutions for our customers. This role entails some in-country travel, public speaking engagements at industry events, and performance focused conversations with app developers and marketers, where you will work closely with internal stakeholders across GTM, AdMob, Play, gTech and export teams.Our team is set up as a unique cross-channel team and we partner very closely with GCS and XFN.Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.Responsibilities Manage relationships with existing clients and develop a thorough understanding of their business objectives, goals, and challenges. Identify and pursue app and web opportunities in the book of business, prioritize accounts, manage objections, and evaluate campaigns. Consult with C-level clients to achieve national and international marketing goals and utilize Google’s marketing solutions suite, specifically app advertising. Provide service to clients and design app marketing solutions for clients to drive long-term success. Contribute to the development of Google’s comprehensive suite of app install advertisement products, and work and collaborate with mobile-focused, cross-functional teams such as GTM, AdMob, Play, and gTech.  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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience. 4 years of experience with research agendas across multiple teams or projects. One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: 2 years of experience in coding and leading multiple research efforts and influencing research direction in Machine Learning, Privacy, and Security. About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is protecting billions of Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically, and it features an adversarial scenario where we try to detect bad actors who try, in turn, to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.We develop products and services to ensure a safe and high quality experience for users of Android apps across the Android ecosystem with three billion users. We also protect Google's brand and business.Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.Responsibilities Identify problems and threat trends and support the team to move fast and come up with new ideas to manage the adversarial nature of the space and the adaptation of abusers, who would constantly come up with new strategies to bypass our protections. Develop and publish novel research on Android security and AI agent safety, collaborating with global academic and technical partners to improve the defenses. Design neuro-symbolic and agent-powered systems to identify privacy threats, reverse-engineer apps, and ensure the safety of autonomous systems interacting with mobile web environments. Perform analysis on the codebases (e.g., Java, JavaScript, Native) using machine learning to detect malware, bypass obfuscation, and neutralize evasion techniques. Work with teams across Google such as AdSpam, Android Platform, Actor Trust, Google Research to address abuse problems together. 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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of work experience with a PhD. Preferred qualifications: PhD in Statistics, Mathematics, Data Science, Economics, or a related quantitative field. 4 years of experience, including expertise with statistical data analysis on real-world data such as ML modeling, experimentation, sampling methods, and causal inference methods. Experience with machine learning on large datasets. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Ability to demonstrate leadership and self-direction, with a willingness to both teach others and learn new techniques. Ability to demonstrate skills in selecting the right methodology given a data analysis problem. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Our team's mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.As a Data Scientist, Research, you will have the unique opportunity to establish the foundation for data-driven decision-making and product innovation, directly impacting the safety of billions of Android users globally. Your day-to-day will involve data research, innovative solution development (such as improving and evaluating machine learning models), system optimization (e.g., enhancing enqueue and queue prioritization), review quality assessment (for both automated and human decisions), and a variety of other impactful projects requiring strong data and statistical acumen.Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.Responsibilities Work with large datasets and solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and oral delivery of results to business partners. Collaborate closely with stakeholders in Product Management, Engineering, and Operations teams to define relevant questions, objectives, and metrics; identify and implement quantitative methods to answer those questions. Develop, own, and evolve methodologies and frameworks, providing source-of-truth measures for the organization. Establish a comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data-driven solutions to facilitate efficiency improvements. 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.