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

GoogleMexico City, CDMX, Mexico
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Please submit your resume in English - we can only consider applications submitted in this language.

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.

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 net-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 engage with line-of-business (LoB) leaders, Chief Data Officer (CDO), Chief AI Officer (CAIO), and Chief Financial Officer (CFO) to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on Google Cloud Platform (GCP). Additionally, you will guide technical stakeholders and position Google Cloud's agentic data cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.

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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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