Join Google Cloud's dynamic team and empower customers to innovate and grow through cloud-native solutions. You will be instrumental in shaping the future of business technology by providing secure, reliable, and scalable products across the entire tech stack. This role is perfect for an entrepreneurial individual eager to understand customer needs and drive impactful change.

As an Agentic Data Cloud Sales Specialist, you will spearhead growth within our Agentic Data Cloud business. Your primary focus will be cultivating and expanding relationships with both new and existing clients, demonstrating the tangible business value of Google Cloud's data suite, including BigQuery, Knowledge Catalog, and Borderless Lakehouse. You'll position these as leading platforms for Agentic workflows, emphasizing the unique benefits of Lakehouse architecture, robust governance, and semantic cataloging for creating high-quality, reliable AI Agents. Your expertise will guide customers in leveraging unified data foundations for cutting-edge, AI-driven experiences, ultimately shaping their cloud and Agentic Data Cloud strategies for profound digital transformation.

Key responsibilities include exceeding sales quotas and achieving strategic growth objectives, with a strong emphasis on acquiring new customers and expanding workloads within existing accounts through proactive engagement.

You will expertly manage complex, multi-stakeholder sales cycles, from initial discovery and value proposition to developing compelling ROI business cases and securing commercial agreements.

Engage effectively with senior business leaders, including Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers, by showcasing the quantifiable business outcomes achievable with modern Data and AI capabilities through value-selling methodologies.

Collaborate seamlessly with Field Sales Representatives and Partners to execute joint Data+AI initiatives, fostering platform standardization and driving co-sell opportunities.

Present modern data architectures, such as BigQuery, Spark, Spanner, and AlloyDB, to illustrate how unified data foundations are essential for powering high-performance, hallucination-free AI agents.

We seek an experienced professional with a minimum of 10 years of quota-carrying enterprise sales expertise.

A Bachelor's degree or equivalent practical experience is required.

Demonstrated ability to build business cases through workshops or product demonstrations for executive stakeholders is essential.

Proven experience developing strong partnerships with technical leaders, including Enterprise Architects, Data Engineers, and Data Scientists, is also a key requirement.

Candidates must possess experience positioning and selling technical solutions within data management, analytics, infrastructure, or AI/ML domains.

Preferred qualifications include 10 years of sales experience specifically in data analytics or data management technologies and experience with streaming solutions, open data lakehouses, and analytics tools like Apache Iceberg or Delta Lake.

Additionally, experience positioning AI platforms, agent-driven applications, and scalable operational data services on open data foundations is highly valued. Familiarity with using agentic or AI tools for customer demonstrations to provide a "show, don't tell" experience is a plus.