Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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.
- Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to Return on Investment (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 Field Sales Representatives (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.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in quota-carrying enterprise sales.
- 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 Generative AI (GenAI) platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or Independent Software Vendors (ISVs) to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation agreements within specific regulated or high-growth enterprise verticals (e.g., financial services, healthcare/life sciences, retail, or manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.