Cake 求人検索

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Hyderabad District, Telangana, India
Marketing / Communications
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms.Experience developing accessible technologies. 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.The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 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. 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 like Java, C, C++, or Python Preferred qualifications: 10 years of experience in Artificial Intelligence/Machine Learning (AI/ML). About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google 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 Analyze core AI and BI use cases and build easy-to-use and scalable features. Collaborate with a team of Engineers to develop techniques that improve system performance, efficiency, and scalability. Own end-to-end ownership of critical components from design and implementation to testing and optimization. Be an expert in Business Intelligence (BI) domain. Foster an environment of continuous learning and knowledge sharing. 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; Hyderabad, Telangana, India.Minimum qualifications: PhD degree in Computer Science, Electrical Engineering, or a related technical field. Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security. Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization. Experience in algorithms, complexity analysis, and system design. Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang. Preferred qualifications: Experience in areas such as algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking, or general systems. Expertise in designing and implementing complex systems for either production or experimental use. Proficiency in performance analysis or the analysis of systems data. Demonstrated success in publishing peer-reviewed articles in prestigious conferences or journals (e.g., ACL, KDD, SOSP, Nature). Availability to commence a full-time position in 2026. Exceptional engineering capabilities. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. We seek innovative engineers with various expertise, including information retrieval, distributed computing, large-scale system design, networking, data storage, security and AI/ML. Within Google Cloud, the AI and Infrastructure(AI2) organization is at the forefront of creating groundbreaking AI/ML capabilities. We are responsible for designing and managing the software, hardware, and Machine Learning (ML) systems infrastructure that power essential Google services such as Search and YouTube, as well as Google Cloud products.As a PhD Software Engineer within AI2, your specialized research expertise will be instrumental in solving complex, real-world problems on an unprecedented scale. You'll engage in innovative projects spanning areas like AI/ML, networking, data storage, security, and distributed systems.Responsibilities Define and drive the technical goal for next-generation distributed systems. Design, develop, and implement scalable, reliable, and high-performance large-scale distributed systems. Apply specialized research expertise to the design, analysis, and development of complex systems across the stack. Investigate, diagnose, and resolve technical issues by analyzing root causes and impact. Write and review code, ensuring adherence to best practices in style, accuracy, testability, and efficiency. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience programming in Python or C++.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 one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. 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 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 Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 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. Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. 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. 3 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 5 years of experience in operations management (i.e., process improvement, operational reviews, optimizing workflows, etc.). 5 years of experience working with Unix or Linux operating systems/commands. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in a customer-facing role. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners. Lead the technical investigation, triage, and resolution of complex escalations related to identity management, authentication pipeline failures, and unauthorized access vectors within the Ads ecosystems. Act as the technical engineer on passwordless authentication rollouts, directly supporting the mandate, troubleshooting, and implementation of Passkey technology (WebAuthn/FIDO2) for enterprise customers. Develop tools and automation for better diagnostics/data fixes and debugging, either independently or in partnership with Product Engineering teams. Partner directly with Product Engineering and Trust and Safety teams to identify systemic vulnerabilities in the authentication stack, executing precise bug routing and advocating for infrastructure-level fixes. 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 in Engineering, Computer Science, a related field, or equivalent practical experience. Experience with data/SQL and web technologies. Ability to work non-standard working hours in line with customer requirements. Preferred qualifications: Experience in business analysis to conduct analytics, develop dashboards, and make recommendations Experience working in technical product/cloud support/quality engineering/Site Reliability Engineering (SRE). Experience using Google Ads or other online advertising solutions and the media/tech landscape. Experience in technical troubleshooting or customer support in a tech organization, and customer-facing experience translating technical concepts and solutions to non-technical and executive audiences. Experience in solving issues and developing tactical perspectives on customer-focused solutions. Excellent customer first and empathetic mindset, and ability to own end-to-end experience and solutions. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Apply subject matter expertise in Google's AI-driven ad products, with a focus on performance max, by understanding intricate functionalities to provide guidance and troubleshooting effectively. Develop and implement automation tools for diagnostics and debugging, streamlining processes and enhancing support efficiency, leading to faster resolution times. Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners. Analyze data and insights to create action plans to solve issues at the root cause for our customers focusing on knowledge management, operational improvements, account reviews and product adoption. Partner with our Sales, Product, Engineering and other cross-functional partner teams (as applicable) to own and continuously improve the journey of all clients across, resolve complex issues and understand customer pain points 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: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: 5 years of experience in a data-driven environment, specifically in building and deploying investigative solutions at scale. Ability to write complex SQL and use Python to build data pipelines, analyze data, and develop forecasting models (statistical or ML). Ability to influence executive stakeholders and manage complex projects with minimal oversight. Ability to work flexible hours aligned with North America. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Lead the strategy, development, and implementation of complex forecasting models, and Google-standard code for critical systems. Own the functional requirements and data pipelines for critical operational metrics, either directly or through oversight of supplier resources. Act as a technical mentor for statistical methods and other investigative solutions and provide technical oversight to unblock automation goals. Drive problem framing for ambiguous and complex programs, build new processes with the foresight to address future business challenges. Architect, develop, and deploy scalable forecasting and Machine Learning (ML) solutions using Python, and drive the adoption of Google-standard coding practices to ensure robust, repeatable analyses that optimize global vendor operations. 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 in Computer Science, Management Information Systems, or a related technical field, or equivalent practical experience. 12 years of experience in software engineering or enterprise application development. 5 years of experience with managing engineers. Experience with reviewing codes and configurations, and contributing to architectural decisions. Preferred qualifications: Experience in utilizing knowledge of Google-wide technologies and methods. Experience with Application Programming Interface (API) development. Experience with enterprise architecture development. Ability to manage technical relationships with third-party vendors, including overseeing vendor selection, onboarding, performance evaluations, and team management and engagement. About the jobFinance Engineering’s mission is to build financial architecture to enable Alphabet’s incredible growth and innovation through intelligent, compliant and seamless solutions. We Innovate enterprise-grade services, solutions to drive financial and operational efficiencies empowering Google employees and Enterprise running SAP and other financial systems on Google Cloud.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Develop and drive a multi-year technology roadmap aligned with business goals. Lead projects. Manage in-house and third-party products. Manage in-house and third-party products integrations. Oversee application development, systems integration, and ensure engineering excellence using Software Development Life Cycle (SDLC), by building and managing a performing engineering team. 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: Mumbai, Maharashtra, India; Bengaluru, Karnataka, India; New Delhi, Delhi, India; Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with leading negotiations or business development. Experience in working with cross-functional stakeholders and external partners, including government agencies. Experience with economic development issues such as direct or indirect taxes, tax policy, or infrastructure development. Experience with the local data center and digital infrastructure marketplace. Preferred qualifications: Experience in data center location strategy or industrial strategy in India. Experience with power transmission and distribution, telecommunications infrastructure, data center technology, industrial electrical and cooling technology, or a related technical area. Experience in collocation agreements, site selection for industrial projects, real estate evaluation, acquisition, development, construction, utility agreements management, energy tests, implementing clean energy initiatives, or financial modeling. Experience with real estate markets within APAC and establishing infrastructure in APAC markets. Experience in APAC economic development policy in infrastructure transactions. About the jobGoogle's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future -- everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific project teams on negotiating agreements, managing vendor and partner relationships and presenting the recommendations to our Tech leadership. Your successful negotiations have the potential to save Google millions of dollars in operating costs and impact every part of the business. In this role, you will be expanding mission-critical infrastructure by securing agreements with government agencies and executive-level partners. You will focus on navigating regulatory landscapes and tax policies to build economic development frameworks across India. You will unify cross-functional efforts by integrating legal, finance, and policy requirements to influence third-party strategies. You will ensure the delivery of infrastructure programs while managing partnerships that shape the regional road map.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Manage confidential projects with awareness of value and timing, and contribute to development of overall project plans. Serve as a commercial liaison between vendors and internal stakeholders. Develop and work on regional or market segment strategy for the infrastructure development programs. Influence third-party strategy at the executive level. Collaborate with cross-functional partners including, but not limited to, tax, finance, legal, policy, and communications on a variety of economic development matters. Provide region specific business advisory support for economic development agreements, including commercial review of terms, tax implications and infrastructure funding. 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. 15 years of experience working in customer relationship development by working with digital media or digital marketing/advertising solutions. 8 years of experience leading, mentoring, and developing teams. Preferred qualifications: Experience collaborating with multiple stakeholders across organizational boundaries to influence across teams with similar objectives, aligning resources and direction. Experience with offline media, brand lift, marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc.). Understanding of the media Industry issues to advance Google's forward-looking strategies within the marketplace by being a creative and performance-minded thinker. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Lead a team of product specialists responsible for driving the strategy to help advertisers meet their business objectives.  Coach the team and demonstrate both expansive and reductive thinking as needed. Invest in your own product and market expertise in the constantly changing Media landscape. Partner with Sales and gTech region team, drive a dual focus on fostering a customer-centric culture by pivoting all solutions around customer or marketing objectives. Build commercial muscle within the team to help deliver business through either bespoke or scaled work. Prioritize and build capabilities accordingly and represent gTech Ads Solutions for your markets. Contribute significantly to and own the strategy development and execution for your team, including in areas such as stakeholder management, continuous upskilling, vendorization, automation and operational efficiency. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Cake 求人検索

今すぐCakeに参加!何万件もの求人情報から理想の仕事を見つけよう。