Agentic Data Cloud Sales Specialist, Google Cloud

Google•Boulder, CO

2d•$138,000 - $200,000

About The Position

As an Agentic Data Cloud Sales Specialist at Google Cloud, you will drive data and AI growth by securing net-new greenfield customers and finding untapped workloads in existing accounts. You will work with Field Sales Representatives, Customer Engineers, and partners on joint Data+AI initiatives that establish long-term data platform standardization. The role focuses on value-based selling to business leaders, including Line-of-Business leaders, CDOs, CAIOs, and CFOs. You will identify business challenges, develop ROI and total-cost-of-ownership business cases, and demonstrate the business value of modernizing data estates on Google Cloud. You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud products—including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB—as a data intelligence platform for AI. Through demonstrations and architecture discussions, you will show how unified, governed data foundations 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 closing large-scale data and AI transformation deals 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 strategic 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, the Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer through value-selling that connects modern Data and AI capabilities to quantified business outcomes.
Coordinate with Field Sales Representatives and partners to execute joint Data+AI initiatives, drive platform standardization, and support co-selling.
Whiteboard modern architectures using BigQuery, Spark, Spanner, and AlloyDB to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.