Join the Google Cloud Platform team and empower businesses to innovate in the cloud. You will play a pivotal role in understanding customer needs and shaping the future of technology adoption across various industries. As a Data Cloud Sales Specialist, your mission is to drive the growth of our Data Cloud business by cultivating and expanding relationships with both new and existing clientele. You'll work collaboratively with customers to deliver tangible business value, showcase product capabilities, and provide insightful overviews of key business use cases. This role is instrumental in positioning Google Cloud's comprehensive data suite as the premier data intelligence platform for Agentic workflows, emphasizing the unique advantages of Lakehouse architecture, robust governance, and semantic cataloging for creating high-quality, reliable AI Agents.

Shape customer strategies for cloud adoption and Agentic Data Cloud, spearheading digital transformation initiatives. This position demands empathy, strategic thinking, and a drive to multiply impact for both individual success and the team's collective achievements, ultimately enhancing the overall value delivered by Google Cloud. Google Cloud is dedicated to accelerating digital transformation for organizations worldwide, offering enterprise-grade solutions powered by Google's advanced technology and tools that promote sustainable development practices for creators. Businesses in over 200 countries rely on Google Cloud as their trusted partner to achieve growth and overcome their most significant challenges.

Achieve and exceed sales quotas and strategic growth objectives, focusing on acquiring new logos and driving adoption of cloud workloads within existing accounts through targeted campaigns. Navigate and manage complex, multi-stakeholder sales cycles, from initial discovery and value proposition development to the creation of compelling Return on Investment (ROI) business cases and commercial closure.

Engage with key business leaders, including Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers, by employing value-selling methodologies. Demonstrate how modern Data and AI capabilities directly contribute to quantifiable business outcomes. Collaborate effectively with Field Sales Representatives (FSRs) and Partners to implement joint Data+AI strategies, promoting platform standardization and co-selling opportunities. Present cutting-edge architectures, including BigQuery, Spark, Spanner, and AlloyDB, to illustrate how unified data foundations enable high-performance, hallucination-free AI agents.

Possess a Bachelor's degree or equivalent practical experience, coupled with a minimum of 10 years of quota-carrying enterprise sales experience. Proven ability to build business cases through interactive workshops or product demonstrations tailored for business executives. Demonstrated experience in fostering partnerships with technical stakeholders, such as Enterprise Architects, Data Engineers, and Data Scientists. Expertise in positioning and selling technical solutions within the domains of data management, analytics, infrastructure, or AI/ML. Preferred candidates will have 10 years of experience in sales roles specifically focused on data analytics or data management technologies. Experience in positioning and selling streaming solutions, open data lakehouses, and analytics tools like Apache Iceberg, Delta Lake, or Apache Spark against traditional, proprietary deployment environments is highly desirable. Furthermore, experience in positioning, selling, or articulating the commercial value of AI platforms, agent-driven applications, and low-latency, highly scalable operational data services built on open data foundations is a significant advantage. Candidates are encouraged to leverage agentic or AI tools for customer demonstrations to effectively "show, don't tell" the value proposition.