Data Cloud Sales Specialist III, Power and Utility, Google Cloud

Google•Atlanta, GA

7d•$138,000 - $200,000

About The Position

The Google Cloud Platform team helps customers transform their businesses using cloud technology designed for security, reliability, and scalability. As a Data Cloud Sales Specialist, you will drive Google Cloud’s data and AI growth by securing new greenfield customers and identifying untapped workloads. You will work with Field Sales Representatives, Customer Engineers, and partners to execute joint Data+AI initiatives and establish long-term data platform standardization. You will engage business and executive leaders to identify critical needs, develop ROI and total-cost-of-ownership business cases, and demonstrate the business value of modernizing data estates on Google Cloud. You will also guide technical stakeholders and position Google Cloud’s Agentic Data Cloud suite—including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB—as a data intelligence platform for AI. Through demonstrations, you will show how unified, well-governed data foundations can support secure AI agents and real-time experiences.

Requirements

Bachelor’s degree or equivalent practical experience.
10 years of quota-carrying enterprise sales experience.
Experience building business cases through workshops or product demonstrations for business executives.
Experience developing partnerships with technical stakeholders such as Enterprise Architects, Data Engineers, and Data Scientists.
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Nice To Haves

Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
Experience managing large-scale data and AI transformation agreements in regulated or high-growth enterprise verticals, such as Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing.
Practical understanding of how modern cloud architectures, data governance (including cataloging, lineage, and compliance), and clean data estates enable AI and real-time analytics.

Responsibilities

Deliver against quota and achieve or exceed business and growth goals; drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
Manage complex, multi-threaded business cycles from initial discovery and value hypothesis through ROI business-case creation and commercial close.
Engage line-of-business leaders and executives, including Chief Data Officers, Chief Financial Officers, Chief Marketing Officers, and Chief AI Officers, using value-selling to connect Data and AI capabilities with quantified business outcomes.
Coordinate with Field Sales Representatives and partners on joint Data+AI initiatives, platform standardization, and co-selling motions.
Illustrate modern architectures using BigQuery, Spark, Spanner, and AlloyDB to demonstrate how unified data foundations can power high-performance, hallucination-free AI agents.