Drive growth for Google Cloud's Agentic Data Cloud business by cultivating new and existing customer relationships. This role focuses on delivering tangible business value, showcasing product capabilities, and detailing key use cases. You will champion Google Cloud's comprehensive data suite, including BigQuery, Knowledge Catalog, and Borderless Lakehouse, positioning it as the premier data intelligence platform for Agentic workflows. Highlight the distinct advantages of Lakehouse, governance, and semantic cataloging in creating high-quality, hallucination-free AI Agents. Empower clients to utilize unified data foundations for real-time, AI-driven experiences, and shape their cloud and Agentic Data Cloud strategies to foster digital transformation. Lead with empathy, seeking innovative methods to amplify personal and team impact, thereby maximizing value for Google Cloud.

Achieve and exceed sales targets, driving strategic business and growth objectives. Focus on acquiring new customers and expanding workloads within existing accounts through proactive outreach.

Manage intricate, multi-stakeholder sales cycles, from initial discovery and value hypothesis formulation through to ROI business case development and commercial closure.

Engage senior business leaders, including CDOs, CFOs, CMOs, and CAIOs, by articulating value-based propositions that connect modern Data and AI capabilities to measurable business outcomes.

Collaborate effectively with Field Sales Representatives (FSRs) and Partners to implement joint Data+AI initiatives, promoting platform standardization and co-selling opportunities.

Present modern architectural solutions (e.g., BigQuery, Spark, Spanner, AlloyDB) to illustrate how unified data foundations support high-performance, hallucination-free AI agents.

Requires a Bachelor's degree or equivalent practical experience, alongside a decade of quota-carrying enterprise sales expertise.

Demonstrated ability to build compelling business cases through workshops or product demonstrations tailored for business executives.

Proven experience developing partnerships with key technical stakeholders, such as Enterprise Architects, Data Engineers, and Data Scientists.

Significant experience positioning and selling technical solutions across data management, analytics, infrastructure, or AI/ML domains. Preferred expertise includes selling streaming solutions, open data lakehouses, and analytics tools against legacy systems, as well as showcasing the commercial value of AI platforms and agent-driven applications on open data foundations.