Data Analytics Sales Specialist, Enterprise, Brazil (Portuguese, English)
Job description
Please submit your resume in English - we can only consider applications submitted in this language. Minimum qualifications:
• Bachelor's degree or equivalent practical sales experience.
• 7 years of experience in quota-carrying enterprise sales, including data management, database, analytics, cloud infrastructure, or AI/ML solutions.
• Experience selling business outcomes to line of business executives across industries (such as Financial Services, Life Sciences, Retail, Manufacturing) or horizontal functions (such as Finance, Marketing, Operations).
• Experience building business cases through workshops or product demos to business executives.
• Experience building and influencing partnerships with technical decision-makers (Such as Enterprise Architects, Data Engineers or Data Scientists).
• Ability to communicate in Portuguese and English fluently to manage stakeholder relationships.
Preferred qualifications:
• Experience closing data and AI transformation deals 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.
• Demonstrated success positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
• Proven track record of collaborating with Global System Integrators, hyperscalers, and ISVs to co-sell and accelerate pipeline.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Data Analytics Sales Specialist, you will blend sales expertise with in-depth knowledge of Data and AI solutions. Your primary focus is to drive measurable business impact and deliver high-value outcomes for key customer stakeholders.
In this role, you will engage directly with CxO-level executives across the field while orchestrating internal cross-functional teams and external partners to manage the full business lifecycle. You will also advocate sales strategy, lead demand generation initiatives, and oversee commercial execution.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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 growth by "hunting" net-new greenfield logos and net-new workloads in existing accounts through proactive campaigns.
• Engage LoB leaders, CDO, CFO, CMO, CAIO, through value-selling, tying modern Data and AI capabilities to quantified business outcomes. Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
• Align cross-functionally with FSRs and Partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
• Illustrate modern architectures (e.g., BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
• Develop Analytics and AI solution roadmaps with customers, understanding their unique and complex requirements on a business and technical level.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .