Agentic Data Cloud Sales Specialist II, Google Cloud (Korean, English)
공고 요약
원티드담당업무
쿼터 달성 및 전략적 사업·성장 목표 달성
신규 기업 고객과 기존 계정의 미발굴 워크로드 발굴
초기 니즈 탐색부터 가치 가설, ROI 비즈니스 사례 작성, 계약 체결까지 복합 영업 사이클 관리
사업부 리더 및 데이터·재무·마케팅·AI 책임자 대상 가치 중심 영업과 정량적 사업 성과 제시
현장 영업 담당자 및 파트너와 협업해 데이터·AI 공동 영업 및 플랫폼 표준화 추진
BigQuery, Spark, Spanner, AlloyDB 기반 아키텍처 설명 및 데이터 기반 AI 에이전트의 활용 방안 제시
자격요건
임원 대상 워크숍 또는 제품 데모를 통한 비즈니스 사례 구축 경험
엔터프라이즈 아키텍트, 데이터 엔지니어, 데이터 사이언티스트 등 기술 이해관계자와의 파트너십 개발 경험
데이터 관리, 분석, 인프라 또는 AI/ML 기술 솔루션의 포지셔닝 및 판매 경험
이해관계자 관계 관리를 위한 한국어 및 영어 유창한 의사소통 능력
지원방법
기업 사이트에서 지원
마감기한
상시채용
구글(Google) 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
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.
주요업무
• 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.
자격요건
• Bachelor's degree or equivalent practical experience. • 7 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.
우대사항
• 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.
혜택 및 복지
자세한 사항은 홈페이지 참조
