Enterprise Architect, Professional Services, Google Cloud
Please submit your resume in English – we can only consider applications submitted in this language. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bogotá, Bogota, Colombia; Buenos Aires, Argentina. Minimum qualifications: • Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. • 6 years of experience performing customer-facing services focused on translating enterprise customer needs into cloud architectures and approaches. • Experience in developing solution architectures through system design techniques. • Ability to travel 20% of the time as required. Preferred qualifications: • Experience in implementing Google Cloud or software projects in corporate environments. • Experience working with cloud architecture with a broad set of enterprise use cases. • Understanding of modern application migration and modernization approaches. • Excellent organizational, problem-solving, and influencing skills. About the job As an Enterprise Architect, you will work with customers to transform their businesses through the use of Google Cloud Platform. You will also work cross-functionally to provide pre-business enterprise architecture support, solutions delivery/migration, and engineering expertise for Google’s customers. You will also help inform the scope of services, staffing, and timelines. In addition, you will advise customers on architecture best practices and architectural blueprints as the foundation for migration to Google Cloud. You will work on customer Requests for Proposal (RFPs) and proposal processes, including partnering with Sales and Customer Engineering counterparts to deliver technical architecture and services strategies. You will propose, develop, and implement approaches as well as strive for execution consistency and repeatability for these engagements. Additionally, You will be part of a team and work on a broad set of migration approaches to meet enterprise customer needs across all segments. In this role, you will also represent and deliver best practices across the areas of infrastructure, application, data modernization, and more. You will collaborate cross-functionally within Google and support our services partner community. You will also develop knowledge in advising enterprise customers on migration approaches and work with a diverse set of internal and external stakeholders. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Recommend and document migration paths, integration strategies, and application architectures required to implement complete solutions using best practices on Google Cloud. • Oversee delivery, customer satisfaction, and accurate estimation of customer results. • Work with prospects looking to move their enterprise IT estate to public/hybrid cloud, including providing enterprise architecture, direction, and recommended professional services to enable digital transformation. • Drive the capturing, developing, and sharing of best practices internally and externally to accelerate implementations. 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
Cloud AI Engineer, Professional Services
Please submit your resume in English – we can only consider applications submitted in this language. For Mexico applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Buenos Aires, Argentina; São Paulo, State of São Paulo, Brazil; Santiago, Chile; Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico.Minimum qualifications: • Bachelor’s degree in Computer Science, Information Systems, related technical field, or equivalent practical experience. • 4 years of experience building machine learning solutions. • Experience coding in one or more languages: Python, Scala, Java, Go, or similar with competencies in data structures, algorithms, and software design. • Experience working with technical customers. Preferred qualifications: • 5 years of experience working with recommendation engines, data pipelines, or distributed machine learning. • Experience with deep learning frameworks (such as TensorFlow, PyTorch, XGBoost). • Experience in technical consulting. • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Hive). • Understanding of the auxiliary practical concerns in production ML systems. About The Job 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 organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Be a trusted technical advisor to customers and solve complex Machine Learning challenges. • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. • Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production. • Coach customers on the practical challenges in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models. • Travel regularly (up to 30%, although we also frequently use video conferencing) in-person 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
Cloud Data Engineer, Professional Services, Google Cloud
Please submit your resume in English – we can only consider applications submitted in this language. (For Mexico applicants only) Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Buenos Aires, Argentina; Mexico City, CDMX, Mexico; Santiago, Chile; São Paulo, State of São Paulo, Brazil . Qualifications Minimum qualifications: • Bachelor’s degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience. • 5 years of experience with data processing software. • 3 years of experience managing client-facing projects, troubleshooting technical issues, working with Engineering, Sales, or Services. • 3 years of experience in coding languages such as Java, Python, Scala, or Go Preferred qualifications: • Experience working with data warehouses, technical data architectures, infrastructure components, ETL/ELT, and reporting/analytic tools. • Experience architecting, developing software, or internet scale production-grade solutions in virtualized environments. • Experience in building multi-tier high availability applications (e.g., NoSQL, Hadoop, etc.). • Experience working with information retrieval or machine learning. • Experience in technical consulting. About the job As 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. In this role, you will help shape the future of businesses of all sizes using technology to connect with customers, employees, and partners. As a Data Engineer, you’ll guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges. In this role, you will be working with Google’s strategic Cloud customers, and with the team you will support customer implementation of Google Cloud products. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Drive the capturing, developing, and sharing of best practices internally and externally to accelerate implementations. • Act as a trusted technical advisor to customers and solve their challenges. • Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. • Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities. • Travel 30% of the time as necessary
Vendor Solutions Consultant, Contracts and Sourcing, Google Cloud
Please submit your resume in English – we can only consider applications submitted in this language. For Mexico Applicants: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina; São Paulo, State of São Paulo, Brazil.Minimum qualifications: • 5 years of experience with service vendors in customer support, tele-sales, engineering, and extended workforce. • Experience in reviewing, drafting, and editing statements of work across service areas in customer service, engineering, and sales operation. • Experience conducting and drawing insights from data analysis. • Ability to speak and write in English fluently. Preferred qualifications: • MBA degree. • Certification in Project Management Professional (PMP). • Experience managing multiple global stakeholders, and collaborate globally/cross-functionally with Vendor, Compliance, Business, Operations, Marketing, and Product teams. • Experience in value consulting, proposal development and execution with technology products or extended workforce services organizations and in writing and negotiating agreement documents. • Ability to deliver business transformation programs in a fast-paced and dynamic environment. • Excellent written/verbal communication, project management and stakeholder management skills, with the ability to negotiate and deliver projects with vendors. About The Job The 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 engineered 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 benchmark rates against different functions, enabling Google Cloud to engage high-quality vendors and performance at optimal costs. You will work with global vendors and collaborate with cross-functional Business teams such as Cloud Support, Legal, Sales, and Engineering to manage extended workforce agreements, vendor selection, administration of requests for location strategy, rate card discussions, etc. You will also support the development of standardized Statements of Work (SOW) terms for Google Cloud services which will protect Google from operational, regulatory, and reputational risks. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Partner on the development/execution of vendor agreement and management strategy including planning, commercial models, and productivity improvement programs, to drive supplier performance and meet/exceed performance goals. • Review, analyze and categorize various agreements across vendor operations and compare against established agreement standards to identify gaps and minimize operational risk for Google with effective mitigation strategies. • Review/propose location strategy and commercial clauses in agreement to identify gaps to established standards and industry best practices, while driving quality and cost optimization. • Conduct primary and secondary external market research around cost benchmarks across global locations and service types, identifying opportunities for improvement of our contracting to payments lifecycle. • Write up requests for cross-documents detailing scope of services, service requirements, capability questionnaires, response templates, pricing templates etc. 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
Customer Solutions Engineer (English, Spanish)
For Mexico: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Please submit your resume in English – we can only consider applications submitted in this language. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience in programming languages such as Python, Java, C++, and SQL queries. • Client-facing experience managing internal and external customers. • Ability to speak and write in Spanish and English fluently. Preferred qualifications: • Experience in the online advertising industry. • Ability to work independently and manage multiple projects simultaneously. • Excellent communication skills and attention to detail. • Demonstrated creative problem-solving approach and investigative skills. About The Job gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities. The Customer Solutions Engineering team is responsible for building innovative, cutting-edge solutions to the business problems faced by the world’s largest advertisers. We work as a critical technical partner for our Sales teams where our coding abilities, communication skills, desire to solve complex problems, passion for scale and big data, and business acumen are all be leveraged to develop answers to questions most don’t even know to ask. Our solutions can take many forms, from prototypes and demos to education, all with the technology resources of Google to back it up. As a Customer Solutions Engineer, you will deliver custom solutions and technical consulting to Google’s advertisers, advertising agencies, and other partners. You will be responsible for identifying and prioritizing your own projects. You will see the unique business challenges faced by our largest advertisers, and you will be given the opportunity to develop solutions no one else has. You will have the chance to leverage your wide-ranging experience and skill-set to find the best solution for the problems. 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 • Provide technical consulting services and guidance around Google APIs to help customers develop cutting-edge applications across products. • Work closely with customers to understand underlying business challenges. • Cultivate relationships with the Sales team and customers, leveraging these relationships to identify and develop innovative technical solutions that lead to more advertising business. • Work across Sales, Support and Product teams to provide innovative solutions to real-world challenges. • Propose, design, create and present prototypes, demos and proofs-of-concept to a wide variety of audiences, from Engineers to Marketing professionals, also leverage Google’s infrastructure and big data analytics systems to achieve your goals. 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
Cloud Data Migration Consultant, Google Cloud
Please submit your resume in English – we can only consider applications submitted in this language. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Buenos Aires, Argentina; Mexico City, CDMX, Mexico. Minimum qualifications: • Experience delivering digital transformation projects to global organizations. • Experience in program management, client service, or management consulting. • Experience managing client relationships at executive level, with a focus on communicating technical concepts to audiences. Preferred qualifications: • Cloud certification. • Experience in customer-facing cloud migration, including service discovery, assessment, planning, execution, and operations. • Experience collaborating with channel partners, systems integrators, and third-party developers to deliver high-impact solutions and working with a cross-functional, geographically dispersed team and customer-base. • Experience leveraging quantitative assessment and analysis for decision-making and prioritization. • Understanding of the cloud marketplace and the differentiators of various cloud offerings. • Ability to quickly learn, understand, and work with emerging technologies, methodologies, and solutions in the cloud/IT technology space. About the job The Services Delivery team is responsible for effectively introducing Google’s clients to Google Cloud Platform and to Google Workspace, and assisting them from inception to production. We deliver product and implementation expertise to our strategic customers to help them get the most out of their Google Cloud investments. We solve technical problems, including infrastructure migration, network optimization, security best practices, and more. In this role, you will specialize in consulting, program management, guidance, and orchestration of cloud engagements. You will support both our customers and internal teams to deliver and execute our programs. You will travel up to 30% of the time as needed. Responsibilities • Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of Google Cloud solutions, becoming a trusted advisor to decision-makers throughout the engagement. • Lead the program management of multifunctional Google Cloud Professional Services projects, covering program planning, delivery assurance/verification, tracking/reporting, and risk/mitigation planning. • Manage the risks, issues, and actions for accounts and regularly track them to meet the expected outcomes and timelines, building mitigation plans as the program evolves. • Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. • Manage the deployment of cloud-based, distributed, virtualized infrastructure solutions according to customer requirements and implementation best practices. 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
Cloud AI Engineer, Global Services Delivery, Google Cloud
Please submit your resume in English – we can only consider applications submitted in this language. For Mexico City: Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina. Minimum qualifications: • Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. • 2 years of experience building machine learning (ML) solutions. • Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar), data structures, algorithms, and software design. • Experience working with technical customers. Preferred qualifications: • 3 years of experience working with recommendation engines, data pipelines, or distributed machine learning. • Experience with deep learning frameworks (e.g., Tensorflow), Vertex AI, or Generative AI. • Experience in technical consulting. • Knowledge of Machine Learning Operations and BigQuery Machine Learning. • Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. About the job The 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 engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to apply machine learning in their business, travel to customer sites to deploy solutions, and deliver workshops to educate and empower customers. Additionally, you will partner with Product Management and Product Engineering to build and drive excellence in our products. In this role, you will work with Google Cloud customers. 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 more. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Act as a trusted technical advisor to customers and solve complex machine learning challenges. • Develop and optimize machine learning models, design processing systems and orchestrate Machine Learning (ML) pipelines. • Work with customers, partners, and Google Product teams to deliver tailored solutions into production. • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders. • Mentor customers on the practical challenges in Machine Learning systems, including feature extraction/feature definition, data validation, monitoring, and management of features/models. 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
Vendor Solutions Consultant, Financial Planning and Analysis
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law. Please submit your resume in English – we can only consider applications submitted in this language. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina; São Paulo, State of São Paulo, Brazil; Santiago, Chile; Bogotá, Bogota, Colombia; Lima, Peru.Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 11 years of experience in FP&A, management consulting, corporate strategy, finance, business, or sales operations. • Experience with Business Finance, Strat Ops FP&A roles and business modeling, management reporting, project management, process improvement, and operational metrics. • Ability to speak and write in English, and Portuguese or Spanish fluently. Preferred qualifications: • MBA or Master’s degree in a finance, management or technical field. • Experience writing and negotiating agreement documents. • Experience managing multiple global stakeholders, and collaborating globally/cross-functionally with vendor, compliance, business, operations, marketing, and product teams. • Ability to engineer financial and operational processes and enable change management. • Excellent written/verbal communication, project management, and stakeholder management skills, with a focus on negotiating and delivering successful projects with vendors. About The Job The Google Cloud Vendor Management Organization (VMO) has responsibility for all extended workforce needs across Google Cloud, including but not limited to extended workforce strategy, vendor partner selection, governance and operations, and performance management. The team is focused on partnering deeply with the businesses we support to achieve issue resolution and value creation. As a Vendor Solutions Consultant, you will assist in sourcing and establishing vendors, engaging structures, and governance models. You will work as an advisor and extended workforce specialist to our business stakeholders, partnering with cross-functional teams for successful execution. In this role, you will benchmark rates against different functions, enabling Google Cloud to engage high-quality vendors and performance at optimal costs. You will work with global vendors and collaborate with cross-functional business teams (e.g., Cloud Support, Legal, Sales, and Engineering) to manage extended workforce agreements, vendor selection, administration of requests for location strategy, and rate card discussions. You will also support the development of standardized Statements of Work (SOW) terms for Google Cloud services which will protect Google from operational, regulatory, and reputational risks. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Partner on the development/execution of vendor agreements and management strategy including planning, commercial models, and productivity improvement programs, to drive supplier performance and meet/exceed performance goals. • Review, analyze, and categorize various agreements across vendor operations and compare against established agreement standards to identify gaps and minimize operational risk for Google with effective mitigation strategies. • Review and propose location strategy, rate cards, and commercial clauses in agreements to identify gaps to established standards and industry best practices, while driving quality and cost optimization. • Conduct primary and secondary external market research around cost benchmarks across global locations and service types, identifying opportunities for improvement of our agreement to payments life-cycle. • Write up requests for cross-documents detailing scope of services, service requirements, capability questionnaires, response templates, and pricing templates. 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
Account Product Strategist, Large Customer Sales (English, Spanish)
As an Account Product Strategist, you will be responsible for ensuring that the strategy and performance of Google Ads products achieves the objectives of our customers. Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We’re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google’s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
Security Cloud Migration Consultant, Professional Services
As a Security Cloud Migration Consultant, you will help shape businesses of all sizes and use technology to connect with customers, employees, and partners. You’ll provide technical guidance to customers adopting Google Cloud Platform services. You will also provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You’ll also provide prescriptive guidance in ensuring customers receive the best of what Google Cloud Platform (GCP) can offer. In this role, you will also ensure that customers have the best experience in migrating, building, modernizing, and maintaining applications in Google Cloud Platform. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features. Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems
