Agentic Data Cloud Sales Specialist, Google Cloud

Google; Austin (TX); On-site; USD 138,000 - 200,000; Full time

Job summary

Google Cloud is seeking an Agentic Data Cloud Sales Specialist in Austin, TX, to drive growth by securing new greenfield logos and untapped workloads. You will partner with field sales, customer engineers, and partners to execute Data+AI plays that standardize data platforms and accelerate pipelines.

You will engage LoB leaders (CDO, CFO, CAIO) with value-selling, demonstrate ROI, and align modern data/AI capabilities to business outcomes, including secure, real-time AI experiences on Google

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of quota-carrying enterprise sales experience.
• Experience building business cases for executives through workshops or product demos.
• Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
• Experience selling data management, analytics, infrastructure, or AI/ML solutions.

Responsibilities

• Deliver against quota and achieve growth goals, securing new logos and workloads.
• Lead multi-threaded sales cycles from discovery to ROI business case and close.
• Engage LoB leaders and CFOs with value-selling to map capabilities to business outcomes.
• Coordinate with FSRs and partners to drive Data+AI plays and co-sell motions.
• Whiteboard modern architectures to show how data foundations power AI agents.

Skills

Enterprise sales

Business case development

Partnership with tech stakeholders

Data/AI/ML solution selling

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Spanner

AlloyDB

Knowledge Catalog

Borderless Lakehouse

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.
  

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.
  

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 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 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 are a master of value-selling and 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.
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 organisation'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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.

Responsibilities

• Deliver against quota and achieve or exceed strategic business and growth goals. Drive 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 LoB leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, and Chief AI Officer through value-selling, tying modern Data & 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.
  
• Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.