Join the Google Cloud Platform team and empower businesses to innovate with cutting-edge cloud technology. We help organizations of all sizes leverage the power of the cloud to enhance security, reliability, and scalability across their operations. As a key member of our entrepreneurial team, you'll shape the future of how businesses connect and thrive.

This role focuses on driving growth within Google Cloud's Data and AI sector. You will be instrumental in acquiring new customers and uncovering untapped opportunities. Collaborating closely with Field Sales Representatives, Customer Engineers, and Partners, you'll execute joint Data+AI strategies to establish long-term data platform standardization.

Master value-selling by engaging with line-of-business leaders, CDOs, CAIOs, and CFOs to pinpoint critical challenges. Develop compelling business cases with a focus on ROI and TCO reduction, demonstrating the clear business value of modernizing data estates on Google Cloud.

Guide technical stakeholders by positioning Google Cloud's Agentic Data Cloud suite, including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB, as the premier data intelligence platform for AI. Present impactful demos showcasing how unified, well-governed data foundations empower secure, hallucination-free AI agents and real-time experiences.

Achieve and exceed sales quotas by driving net-new greenfield logos and workloads. Manage complex sales cycles from initial discovery and value hypothesis to business case creation and commercial close.

Engage key business executives, including Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers, using value-selling techniques. Align with Field Sales Representatives and Partners on joint Data+AI plays to drive platform standardization and co-sell motions.

Illustrate modern architectures using BigQuery, Spark, Spanner, and AlloyDB, demonstrating how unified data foundations support high-performance, hallucination-free AI agents. A Bachelor's degree or equivalent practical experience is required, alongside 7 years of quota-carrying enterprise sales experience. Experience in building business cases through workshops or product demos, developing partnerships with technical stakeholders, and positioning technical solutions in data management, analytics, infrastructure, or AI/ML is essential.