Alphabet · San Salvador, El Salvador

Data Cloud Sales Specialist III, Google Cloud (Spanish, English)

San Salvador, El SalvadorData & Analytics

Listed on Alphabet’s official careers site. Listed as of October 30, 2026. Check that it is still open and apply there.

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Job description

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 a 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.

You will be a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP.

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