Agentic Data Cloud Sales Specialist III, Google Cloud

Google•Sunnyvale, CA

4d•$138,000 - $200,000

About The Position

As an Agentic Data Cloud Sales Specialist, you will drive Google Cloud data and AI growth by securing net-new greenfield customers and identifying untapped workloads. You will partner with Field Sales Representatives, Customer Engineers, and partners on joint Data+AI initiatives that support long-term data-platform standardization. The role focuses on value-based selling to business leaders, including line-of-business executives, CDOs, CAIOs, and CFOs. You will uncover business challenges, build ROI and total-cost-of-ownership business cases, and demonstrate the value of modernizing data estates on Google Cloud. You will guide technical stakeholders and position Google Cloud’s Agentic Data Cloud offerings—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, 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 closing data and AI transformation deals in regulated or high-growth enterprise verticals such as Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing.
Experience working with Global System Integrators, hyperscalers, or Independent Software Vendors to co-sell and accelerate pipeline.
Practical understanding of how modern cloud architectures, data governance (such as 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.
Run complex, multi-threaded sales cycles from initial discovery and value hypothesis through ROI business case creation and commercial close.
Engage line-of-business leaders and executives, including the Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer, using value-selling to connect modern data and AI capabilities to quantified business outcomes.
Align with Field Sales Representatives and partners to execute joint Data+AI initiatives, drive platform standardization, and support co-selling.
Illustrate modern architectures, including BigQuery, Spark, Spanner, and AlloyDB, to demonstrate how unified data foundations can power high-performance, hallucination-free AI agents.