Agentic Data Cloud Sales Specialist, Google Cloud - Singapore

Google Inc.; Singapore; Presencial; SGD 210 000 - 260 000; Tempo integral

Resumo da oferta

Google Cloud Singapore seeks an Agentic Data Cloud Sales Specialist to drive AI and data platform growth, engaging with C-level leaders to build ROI/TCO cases and secure new workloads. You will partner with Field Sales, Customer Engineers and Partners to scale Data and AI plays that establish long-term standardization.

You will demo BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner and AlloyDB to prove how unified data foundations power hallucination-free AI and real-time experiences

Qualificações

• 10 years of quota-carrying enterprise sales experience.
• 5 years leading enterprise data modernization or data platform migrations.
• Experience building business cases for executives.
• Experience partnering with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
• Experience selling data management, analytics, infrastructure, or AI/ML solutions.

Responsabilidades

• Deliver strategic business outcomes and growth goals while achieving or exceeding your sales quota.
• Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
• Engage C-level, Lines of Business and IT teams, through value-selling, tying modern Data and AI capabilities to quantified business outcomes.
• Align cross-functionally with Field Sales Representatives and Partners to execute joint Data and AI sales plays to scale success and GCP data adoption.
• Whiteboard end-to-end modern data architectures including BigQuery, Spark, Spanner and AlloyDB to demonstrate how unified data foundations power optimized -price-performance, hallucination-free AI agents.

Conhecimentos

Quota-carrying enterprise sales

C-level stakeholder engagement

Value selling

Cross-functional collaboration

Data/AI domain knowledge

Formação académica

Bachelor's degree or equivalent practical experience

Ferramentas

BigQuery

Spanner

AlloyDB

Knowledge Catalog

Descrição da oferta de emprego

Product area

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.

Job description

As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and Artificial Intelligence (AI) growth. 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 and AI plays that establish long-term data platform standardization. You will be a master of value-selling. You will engage with line-of-business (LoB) leaders, Chief Data Officer (CDO), Chief Artificial Intelligence Officer (CAIO), and Chief Financial Officer (CFO) to discover critical pain points, build robust business cases (e.g., Return on Investment/Total Cost of Ownership (ROI/TCO) reduction), and demonstrate the quantifiable business value of modernizing data estates on Google Cloud Platform (GCP). You will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (e.g., 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.

Qualifications
Job responsibilities

• Deliver strategic business outcomes and growth goals while achieving or exceeding your sales quota. Drive net-new greenfield logos and new workloads in existing accounts through proactive engagement.
• Run complex, multi-threaded sales cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
• Engage C-level, Lines of Business and IT teams, 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 sales plays to scale success and GCP data adoption, driving platform standardization and co-sell motions.
• Whiteboard end-to-end modern data architectures including but not limited to BigQuery, Spark, Spanner and AlloyDB to demonstrate how unified data foundations power optimized -price-performance, hallucination-free AI agents.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with quota-carrying enterprise sales.
• 5 years of experience leading enterprise data modernization, cloud data warehousing (e.g., Online Analytical Processing (OLAP)), or data platform migrations.
• 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 Generative AI (GenAI) platforms against legacy or other proprietary enterprise systems.
• Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
• 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 agreements within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).