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Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, or equivalent practical experience. 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development. Experience writing, reading, and debugging code in one of the following: Java, C, C++, Python, or Go. Experience with web technologies (e.g., HTTP, HTML, DNS, TCP). Ability to participate in on-call rotation, which may occur outside of standard working hours, including nights, weekends and holidays. Preferred qualifications: Experience administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks. Experience with open source distributed storage and processing utilities in the apache hadoop family or workflow orchestration products. Experience in data analytics, warehousing, ETL development, data science or other big data applications. 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. The high touch support solutions engineers step in and own the large and important customer issues in addition to proactively helping improve customer experiences. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. In this role, you will provide a high-touch, dedicated service to the most critical customers with complex environments, aiming to anticipate their needs, optimize product performance, and enable customer success across complex environments.The high touch support team’s focus on proactive solutions and customer-centric supportability helps avoid issues, build customer trust, enable customers' continuous growth and long term success on Google Cloud Platform (GCP). You will troubleshoot technical problems for customers through debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale. Triage and handle technical escalations, including platform outages, technical issues, and executive concerns. Develop an in-depth understanding of Google Cloud's product technology and architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, build tools, and diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production. Work as part of a team that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in a sales role in the enterprise software or cloud space. Experience selling data analytics or data management technologies to clients. Experience with Business Intelligence (BI), data analytics middleware, or data warehouse technologies. Preferred qualifications: Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework). Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Pub/Sub). Ability to engage audiences through social channels, deliver messages that inspire customers. Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics. Excellent problem-solving skills, using data to inform decisions and influence stakeholders. About the jobAs a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what’s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world. As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver the business value, demonstrate product functionality and provide an overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and business plays, manage campaigns, and provide feedback to Product and Global Solutions Teams to inform our product solutions road map. You will shape customers' cloud and Data Analytics strategy and enable digital transformation. You will lead with empathy, while identifying ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Calibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory. Build and maintain relationships with customers as the data analytics subject matter expert, influencing the direction. Develop and execute account plans, including an enterprise plan across key industries. Focus on building accounts. Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and business impacts. Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in a data engineering, data infrastructure, or data analytics role. Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. Preferred qualifications: Experience with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience with data analysis, including statistics, and ML model development (data preparation, model selection, evaluation, tuning). Experience in scripting languages like Python for data manipulation, analysis, and automation. Ability to monitor, troubleshoot, and tune data systems and pipelines to improve efficiency. Ability to develop tools and systems to automate data processes, and increase overall efficiency, with proficiency in programming languages (e.g., SQL, Python), producing readable and well-structured code. Ability to deliver and maintain data projects from conception to production. About the jobGoogle Play provides apps, games, and digital content services that bring Android devices to life. The Play Store serves over four billion users around the world, and is a critical driver of Google’s overall revenue growth. The Play Data Science Analytics (DSA) team works on a variety of challenging data science projects to drive product and go-to-market decisions for Play. Our vision is to Power Play’s growth by building a deep understanding of our users and developers, enabling data-driven decision making, through strategic insights, thought leadership, and unified data foundations.As a Data Engineer on the Play Data Science Analytics team, you will take a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex, scalable data pipelines, moving beyond basic development to own key components of our data warehouse. This role requires a technical expert who can handle massive datasets, write highly efficient SQL and Python code, and collaborate effectively with senior stakeholders and engineers. You will build innovative data foundations and AI-driven insights solutions while helping to define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives.ResponsibilitiesDesign, build, and maintain scalable data pipelines to ingest, process, and store data from various sources. Implement data quality checks and monitoring to ensure accuracy and integrity.Write complex SQL queries for data extraction and transformation to enable ad-hoc analysis and automated reporting. Conduct quantitative analysis to support business decisions.Develop and manage scalable data foundations and models specifically designed to support AI/ML initiatives and AI-driven insights.Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis and system orchestration.Partner with executive stakeholders and data scientists.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. 5 years of experience in program management. Experience managing projects in a technical or software engineering environment. Preferred qualifications: 8 years of experience working in a data analytics development environment, with supply chain applications, through the project life-cycle. Experience leading development of analytics automation for one or more of supply chain verticals (e.g., Logistics, Procurement, Order Management etc.). Experience working in a program management environment with shared resources. Experience conveying data insights through visualizations and working with customers. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 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 Work with functional supply chain teams across the organization (e.g., Manufacturing, Quality, Logistics, Procurement, etc.) to understand their data analytics requirements, and develop solutions in an Agile approach, own technical aspects of the solution development (e.g., data visualizations, data tables, scripts, etc.). Lead a cross-functional analytics team with business subject-matter-experts to deliver the insights for our customers and on time, discuss constraints and communicate the progress. Lead investigative analytics, support/program-manage developing dashboards and reports, what-if analyses, models, data pipeline management, advance analytical tool kits or decision-support systems to improve the efficiency and responsiveness of Google’s infrastructure. Support Cloud Supply Chain Data's best practices by developing documentation, training and webinars to enable self-serve analytics for the supply chain. 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 Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with an advanced degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with developing machine learning models (e.g., supervised and unsupervised), launch experiments (e.g., A/B Testing), and data infra and analytics pipelines. Experience in developing new models, methods, analysis and approaches. Experience with classification and regression, prediction and inferential tasks, training/validation criteria for ML algorithm performance. Experience in identifying opportunities for business/product improvement and defining/measuring the success of those initiatives. Experience with engineers and product managers around providing product insights. About the jobAs a Product Data Scientist, you will be working with multiple stakeholders across play to define metrics and deliver insightful data and analysis. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. The principal goal of your analyses will be to guide better product and business decisions. You will be responsible for translating data into meaningful interpretations and recommendations and, where relevant, implement process improvements. The metrics and analyses you develop will serve as a key input in product development and operations decision-making. You will work collaboratively across Play teams (e.g., engineering (Eng), product management (PM), UX and commercial operations) as well as other product teams within Google and cross-functional teams such as legal, finance and marketing teams.Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.Responsibilities Guide analysis for play, focusing on product features and user experience, with the primary goal of optimizing our purchase flow and experience. Partner with product management, engineering, and other Play teams to provide data feed, experiment design and product insights that will improve performance, and ensure proper logging and metrics are available for performance measurement. Act as thought partner to produce insights and metrics for various technical and business stakeholders across play. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develop framework and build views to measure product success and provide insights at scale. 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, Mathematics, a related field, or equivalent practical experience. 3 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience with database administration techniques or data engineering, and writing software in Java, C++, Python, Go, or JavaScript. Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience working with Big Data, information retrieval, data mining, or machine learning. Experience in building applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow). Experience architecting, developing software, or production-grade Big Data solutions in virtualized environments. About the jobAs a Data Engineer for the Analytics, Insights and Measurement (AIM) team, you will Help customers, grow their businesses through trusted analytics, insights and measurement that ensure user privacy.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Responsibilities Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Design, develop, and maintain reliable data pipelines to collect, process, and store data from various data sources. Implement data quality checks and monitoring to ensure data accuracy and integrity. Collaborate with cross-functional teams (data science, engineering, product managers, sales and finance) to understand data requirements and deliver data solutions. Enhance data infrastructure for performance, efficiency to meet evolving business needs. 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. 5 years of experience with software development in one or more programming languages. 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 3 years of experience testing, maintaining, or launching software products. 1 year of experience with software design and architecture. Experience in Data Analytics, Big Data, SQL, SQL Pipelines, Object-Oriented Analysis and Design, Object-Oriented Design. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience in working with API integrations, Services, Continuous Integration/Continuous Deployment (CI/CD) etc. 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. In this role, you should be willing and enthusiastic about working on Analytics infrastructure, which also is a core infra in our ML life cycle. You will be flexible and willing to learn. You will need to navigate through ambiguities, clarify problem areas, identify areas of impact and present the perspectives to stakeholders.Google One (G1) is Google's membership for personal cloud storage and Google's cutting-edge AI features. G1 is one of Google's fastest growing subscriptions, with over 150 million subscribers. This is a unique opportunity to be part of a high-impact team, shaping the future of our subscriber experiences, premium features and business growth initiatives.Responsibilities Build and enhance self-serve tools to help other teams create and manage data pipelines that generate metrics. Build and enhance the infrastructure that makes Analytics possible. Create critical dashboards for visualization, and helping others create less critical dashboards. Take complete ownership and accountability for coming up with ideas and solving problems (along with your teammates). Build/Lead or enhance infrastructure that enables other teams in Google One and Photos to launch faster, safer, reliably by adding self-service offerings in the analytics and experimentation platform. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Experience in Apache Spark for data processing. Preferred qualifications: Experience driving product goal, go-to-market strategy, and design discussions. Experience working on developer tools or open source projects. Experience with data analytics tools (Hadoop, Spark), project involvement, and committership. Ability to drive results in collaborative, cross-functional environments with minimal oversight. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will be responsible for Google Cloud Platform (GCP) Data Analytics' big data analytics portfolio for Spark and other open source components in Dataproc and Serverless Spark.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 Drive the new set of innovation and growth powering Open Source Analytics at scale on Google Cloud. Work closely with customers, field and partners to address unmet need. Partner with business development and GTM teams to build growth strategies. Partner with engineering, research and key stakeholder teams to align roadmap and Objectives and Key Results (OKRs). 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 Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience in product analytics within payments, e-commerce, or financial services. Ability to take initiative in unstructured environments, with a bias for action and sharp attention to detail. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. As a Product Data Scientist for FOP Optimization, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of the payments routing infrastructure, Smart Router, that utilizes machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. You will drive analytics for form of payment (FOP) optimization, building on success metrics, driving insights, and driving global launches. You will also play a critical role in our interactions on B2C analytics with Play and YouTube to optimize buyflows, purchase readiness, conversion, and UI on these critical Google products.Responsibilities Play a critical role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influence strategy, and create business impact across the organization. Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (e.g., VPs and Directors). Lead complex projects that combine analytical precision with organizational strategy, delivering clear and actionable insights that inform tangible business decisions. Contribute to the development and alignment of team OKRs and analytics strategy to ensure they support broader product and business goals across the Payments organization. Collaborate cross-functionally with product, engineering, and operations to define key metrics and support data-driven decision-making. 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. 5 years of experience in product management or related technical role. 2 years of experience developing or launching products or technologies within databases, analytics, big data, or a related area. Preferred qualifications: Experience with relational databases and building cloud database services. Experience creating product road maps from conception to launch, driving the product goal, defining the GTM strategy, and leading design discussions. Experience in Cloud, developer tools, database management, and building AI capabilities in data management solutions. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive database and Artificial Intelligence (AI) product strategy and road map for the AlloyDB for PostgreSQL portfolio. Engage with customers and partners to understand their needs and build platform features to enable use cases. Partner with engineering, research, and key stakeholder teams to align road map and Objectives and Key Results (OKRs) across Google Cloud. Work with quantitative research to implement a data-driven framework to define key business metrics that help the team understand and improve the developer experience. Communicate product strategy to executive leaders, engineering, and cross-functional teams, and influence to gain consensus and required resources to deliver. 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.