Google Jobs

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of quota-carrying enterprise sales experience.
• Experience building business cases through workshops or product demos to business executives.
  
• Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
  
• Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
  
• Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred qualifications:

• 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 within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
• Understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
  

About the job

As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization.

Responsibilities

• Deliver against quota and achieve or exceed strategic business and growth goals. Drive new greenfield logos and workloads in existing accounts through proactive campaigns.
• Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
  
• Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data and AI capabilities to quantified business outcomes.
  
• Align cross-functionally with FSRs and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
  
• Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.