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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurgaon, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience. 8 years of experience in providing production-grade AI solutions to external or internal customers with L400-level in Python, and architecting AI systems on cloud platforms. Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements. Experience building full-stack solutions that interface with enterprise systems. Preferred qualifications: Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field. Experience in architecting and scaling production-grade ML systems in enterprise environments (e.g., Enterprise MLOps Architecture: L400 proficiency). Experience designing resilient data engineering pipelines using BigQuery and Vertex AI for enterprise-scale analytics. Knowledge of model governance, monitoring, high-throughput batch and low-latency online serving strategies. Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement CI/CD/CT automation and experimentation. 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. As a Field Solutions Architect at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production grade reality within customers. Unlike traditional advisory roles, you will function as a 'builder-consultant', moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will address blockers to production, including solving the integration complexities, data readiness, and state management issues that prevent Artificial Intelligence (AI) from reaching enterprise grade maturity. You will serve a dual purpose: providing 'white glove' deployment of Artificial Intelligence (AI) systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.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 Serve as the lead developer for Artificial Intelligence (AI) applications, transitioning from rapid prototypes to production grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI). Architect and code the 'connective tissue' between Google’s Artificial Intelligence (AI) products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical 'friction points' in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering 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.