Role at a glance
- Job function
-
Sales B2B & Enterprise Sales
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Seoul, South Korea
- Employment
- Full-time
- Experience
- Senior Level 10+ years
- Education
- Bachelor's
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Qualifications
Required
- 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 Korean and English fluently to manage stakeholder relationships.
Preferred
- 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).
- 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 role
Original posting provided by 구글(Google)
About the role
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 and AI plays that establish long-term data platform standardization.
What you'll do
• 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 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 and AI plays, driving platform standardization and co-sell motions.
• Manage whiteboard modern architectures (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 Korean and English fluently to manage stakeholder relationships.
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).
• Understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
Benefits
자세한 사항은 홈페이지 참조
About the company
구글(Google)
고도화된 검색 알고리즘과 데이터 처리 기술을 통해 전 세계의 방대한 정보를 체계화하여 누구나 쉽게 접근하고 활용할 수 있도록 돕는 글로벌 기술 기업입니다. 머신러닝 기술력을 검색, 지도, 유튜브 등 주요 서비스에 녹여내어 사용자가 필요한 정보를 가장 효율적으로 찾을 수 있는 디지털 환경을 구축하고 있습니다.