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# Agentic Data Cloud Sales Specialist II, Google Cloud

- **Company:** Google LLC
- **Location:** Irvine, CA, United States
- **Experience:** Expert
- **Salary:** $116,000.0 - $169,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Architectural Patterns, Big Data, BigQuery, Data Governance, IT Sales, Data Streaming, Multithreading, Google Cloud, Apache Spark, Agentic-AI, Data Management
- **Published:** October 15, 2026
- **Apply:** https://dejobs.org/x/x/F0C86943F40E48A2A35CE5518FB1438F/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * 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.

## Description

* 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 business cycles from initial discovery and value hypothesis to 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 & 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.