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About the Role
As an Agentic Data Cloud Sales Specialist, you will collaborate with Field Sales Representatives, Customer Engineers, and Partners to help customers modernize their data foundations on Google Cloud Platform (GCP). You will enable the transition to unified cloud architectures, positioning data as the foundation for AI success and powering next-generation AI and intelligent applications. Your role involves translating technical capabilities into high-impact business outcomes, driving Google Cloud's data and AI growth by securing new customers and identifying untapped workloads. You will partner with sales teams and partners to execute joint Data and AI plays, establishing long-term data platform standardization. You will engage with line-of-business leaders, CDOs, CAIOs, and CFOs to understand pain points, build business cases, and demonstrate the value of modernizing data estates on GCP. You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite as the premium data intelligence platform for AI, presenting demos that showcase how unified data foundations power secure, hallucination-free AI agents and real-time experiences.
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 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 Field Sales Representatives (FSRs) and Partners to execute joint Data and AI plays, driving platform standardization and co-sell motions.
- Whiteboard modern architectures (e.g., BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
Requirements
- 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 Japanese fluently to manage stakeholder relationships.
- 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 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.
Skills
- Data management
- Analytics
- Infrastructure
- AI/ML
- Cloud data platforms
- Lakehouses
- Real-time streaming
- Generative AI (GenAI)
- Data governance
- Value-selling
- Business case creation
- Partnership development
Experience Level
- 10 years of experience in quota-carrying enterprise sales
Education Level
- Bachelor's degree or equivalent practical experience
About the Company
- 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.