Google

Agentic Data Cloud Sales Specialist III, Cloud

Google • $138K — $200K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

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 such as Enterprise Architects and Data Scientists.
  • Experience selling technical solutions in data management, analytics, and AI/ML.

Responsibilities

  • Deliver against quota and achieve strategic business and growth goals.
  • Run complex, multi-threaded business cycles from discovery to commercial close.
  • Engage executives through value-selling linked to business outcomes.
  • Align cross-functionally to execute joint Data AI plays for platform standardization.
  • Showcase modern architectures to illustrate AI capabilities.

Benefits

  • Comprehensive benefits package including health, dental, and vision insurance.
  • Generous paid time off and holiday policies.
  • 401(k) plan with company match.
  • Access to employee wellness programs and resources.
  • Opportunities for professional development and training.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Addison, TX, USA.

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 managing large-scale data and AI transformation agreements 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

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 net-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 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.

Additionally, 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. Present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.

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 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 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.
  • Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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