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Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: Experience with Adverse Impact Analysis or regulatory compliance audits. Experience working with sensitive HR or people data. Experience in statistical analysis (e.g., hypothesis testing, regression) and applying these methods to the business problems. Ability to automate manual analytical processes, such as self-service tools and AI agents. About the jobThis is a unique opportunity at Google to be at the forefront of applying AI/ML to solve complex people-analytics challenges at a global scale. You will leverage Google's people data and technology to develop and deploy innovative solutions that directly impact Googlers' lives. You will also play a crucial role in shaping the future of People Analytics by collaborating with cross-functional teams, upskilling colleagues in AI/ML, and fostering a data-driven culture within People Operations. You will make a real difference in the lives of Googlers while contributing to the advancement of AI/ML in the HR domain.Responsibilities Design, develop, and implement "repeatable solutions", such as custom AI agents, NLP models (sentiment/topic modeling), etc., to replace manual workflows with automated code. Lead the design and implementation of data pipelines to collect, process, and transform datasets from different sources into "AI-ready" formats. Conduct model evaluations and collaborate with teams to deploy ML solutions and automated pipelines into production environments. Partner with various teams to understand business problems, define project scope, and gather requirements for HR data products. Be a technical lead for annual external audits and adverse impact analysis by preparing validated datasets and translating regulatory requirements into data specifications. Apply the data science expertise within People Analytics domain to develop ML models and AI solutions. Communicate findings and technical concepts to technical and non-technical audiences. 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 Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development. 2 years of experience in full-stack software development. Experience with front-end languages (e.g., JavaScript or TypeScript). Experience with backend languages (e.g., Java, Python, or C++). Experience working with database technologies (e.g., SQL, NoSQL). Preferred qualifications: 2 years of experience designing and optimizing databases. Experience with unit testing, agile project development, and bug and change management systems. Ability to be flexible/adaptable in exercising judgment in a dynamic environment and to prioritize and manage tasks efficiently. Ability to provide effective technical solutions to business challenges. About the jobIn gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).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 Design, build, deploy, and improve the modern full-stack web applications using standard and Google-specific software development tools. This may include ensuring reliable backends, building pipelines to aggregate data from multiple sources, implementing responsive and UX-rich front-ends, or enhancing performance of existing tools and services. Analyze problems and develop solutions, while identifying dependencies and resolving issues to drive implementation. Make technical contributions, including writing and reviewing design documents, tests, and code (e.g., JavaScript, Python, TypeScript, SQL). Provide subject-matter expertise and utilize knowledge of Google's related technologies, principles, practices, and coding standards. Collaborate with cross-functional users and stakeholders to identify pain points and devise technical solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 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. 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 8 years of experience with data analysis and SQL/MySQL. 8 years of experience in a customer-facing role. 8 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc). 8 years of experience working with Unix or Linux operating systems/commands. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. 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. Learn our AI powered Ads products like AIMax, PMax, and Ads Platforms. Troubleshoot complex technical product issues and apply deep product expertise to solve technical customer issues and escalations. Develop tools and automation for better diagnostics/data fixes and debugging, either independently or in partnership with Product Engineering teams. Improve product feature offerings by providing partner feedback to internal cross-functional teams, including Product Management, Engineering and Business Solutions teams. 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: Hyderabad, Telangana, India; Gurugram, Haryana, India.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 with data analysis and SQL/MySQL. 5 years of experience in a customer-facing role. 5 years of experience in operations management (i.e., process improvement, operational reviews, improving workflows, etc.). 5 years of experience working with Unix or Linux operating systems/commands. 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, troubleshoot and resolve issues with Google's advertisers and Sales teams, agencies and partners. Learn the AI powered Ads products like PMax, and Ads platforms. Troubleshoot complex technical product issues, apply product expertise, solve complex technical customer issues and escalations and carry out strategic projects. Develop tools and automation for better diagnostics/data fixes and debugging, either independently or in partnership with Product Engineering teams. Improve product feature offerings by providing partner feedback to internal cross-functional teams, including Product Management, Engineering and Business Solutions teams. 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; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and supporting customer projects. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost). Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Understanding of the auxiliary practical concerns in production machine learning systems. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.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 Be a trusted technical advisor to customers and solve complex machine learning challenges. Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models. Work with customers, partners, and Google Product teams to deliver tailored solutions into production. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. 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: Hyderabad, Telangana, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. Experience building machine learning or data science solutions. Experience writing software in Python, Scala, R, or similar. Experience with data structures, algorithms, and software design. Ability to travel up to 30% of the time. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives. Experience with core data science techniques. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load (ETL)/Extract, Load and Transform (ELT) and reporting/analytic tools and environments. Excellent customer-facing communication and listening 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. In this role, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with product management and product engineering to drive excellence in Google Cloud products and features.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Deliver effective big data and machine learning solutions and solve technical customer issues. Act as a technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with product managers and engineers to influence the roadmap of Google Cloud Platform. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders. 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, Engineering, a related technical field, or equivalent practical experience. Experience in supporting Salesforce production environment. Experience in debugging and troubleshooting Salesforce production support issues. Preferred qualifications: Experience in Salesforce, Risk Management Compliance, System Integration, Operations Management. Experience working with web technologies, API design and development, back-end systems, and coding in Java or Python. Experience in supporting other third-party applications e.g., Salesforce, Intellum, Contentstack, Verint. Experience in designing, implementing and testing applications, integrations and systems. About the jobTechnical support for a technology company is a big task. As the Corporate Operations Engineer within the IT Support Technician team, your mission is to enable the people and technology that keep Google running. Your team provides the front line user support for all of our internal tools and technologies. Beyond the day-to-day, the team will contribute to longer-term technical projects, process improvement and the documentation efforts that help make the Google magic happen. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Support the enterprise platforms, both first-party (1P) and third-party (3P) through participation in Oncall, issues troubleshooting, root cause analysis and testing. Drive security governance programs for applications used within the organization aligning with business objectives focusing on minimizing the risk exposure through identifying and remediating security related issues as well as maintaining the security compliance. Ensure the success and quality of operational processes by working with cross-functional organizational units, this includes but not limited to incident management, problem management, capacity management, availability management, change management and new product introduction. Manage various programs involving analysis and availability or efficiency improvements. Develop and prepare project documentation, presentations and tracking reports to provide detailed current status of each project. 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 Statistics, Engineering, Sciences, or a related quantitative field, or equivalent practical experience. 7 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience as a people manager within a technical leadership role. Experience with building and deploying machine learning models for business applications. Preferred qualifications: PhD in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience. 9 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in collaborating with executive leaders and driving cross-functional alignment, with excellent stakeholder management skills. Experience with leading, developing, and prioritizing work for an offshore pod across timezone. Excellent technical and applied ML skills, with the ability to drive technical designs. 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. In this role, you will act as a key leader to own and scale outcomes for the new Artificial Intelligence (AI)-focused demand. You will hire, mentor, and lead a Data Science pod based in India to drive data science initiatives for People Operations use cases. You will bridge the gap between business questions and advanced technical execution. You will provide the advanced technical leadership, solution code design, and cross-functional alignment required to guide the team and ensure these models are built to Google's standard from day one. You will drive technical conversations and guide the overarching architecture while managing executive stakeholder influence and advocating AI transformation across the organization.Responsibilities Hire, manage, and coach a Data Science pod based in India. Build community, promote a welcoming environment, and develop a performing team of data scientists. Provide technical expertise and knowledge of Machine learning, Agent development lifecycle, statistical analysis, applied mathematics, and data science applications to review solution design, Python code, and guide technical architecture. Translate business questions into analysis, define data requirements, and develop project roadmaps for open-ended problems. Oversee development, deployment, and integration of Artificial Intelligence/Machine Learning (AI/ML) models, such as predictive models, Natural Language Processing (NLP) models, AI solutions and adverse impact analysis. Utilize executive communication to persuade executive leaders, align partner teams with engaging goals, and integrate workstreams across multiple People Operations initiatives. 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: Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in technical project management or a customer-facing role. Preferred qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience in project/program management, consulting, or a client-facing role. Ability to work flexible non-standard working hours in line with customer requirements. Ability to engage with cross functional teams. 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 Orchestrate resources to solve cross-product, partner-level troubleshooting escalations, providing additional context and interim advice to unblock issues. Identify troubleshooting and knowledge gaps within the agency to prioritize enablement, training, and automation opportunities. Analyze escalation types across the partner's portfolio to identify trends and reduce escalations. Lead conversations for priority escalations flagged by sales teams for faster resolution. Manage customer experiences for a designated portfolio of clients, ensuring resolution of issues and customer satisfaction by monitoring key client engagement metrics (e.g., product adoption, issue resolution time, and satisfaction scores) to identify and address areas for improvement. 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.