Data Analytics Sales Specialist, Google Cloud
Google · Posted Oct 28
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Google Cloud Platform team helps customers across more than 200 countries transform their businesses with enterprise-grade cloud infrastructure and applications. This role sits within Google Cloud data and AI sales, focused on the Agentic Data Cloud suite including BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB. The specialist will drive net-new greenfield logos and workloads, build ROI/TCO business cases with business and technical stakeholders, and partner with Field Sales Representatives, Customer Engineers, and Partners on joint Data+AI plays.
What you will do
- Deliver against quota and achieve or exceed business and growth goals. Drive net-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 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.
- Illustrate modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
Skills used in this role
What the employer is looking for
- Bachelor's degree or equivalent practical experience.
- 7 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.
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).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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