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Enterprise Account Executive - Retail/CPG

DatabricksTokyo, Japan
Full-timeMid Level
👁️ 8 views📝 0 applicationsPosted 5/21/2026Expires 10/23/2026
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Job Description

SLSQ427R74 As an Enterprise Account Executive - Retail/CPG your mission will be to grow some of our focus Retail/CPG enterprise customers in Databricks Japan. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will focus on growing our business in existing accounts. You will report to the Director of Sales, Japan. The impact you will have: You will grow strategic accounts in the Retail/CPG vertical. Expand Databricks use cases in existing and newly won accounts to maximize impact for customers. Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates. You will build value in all engagements to guide successful negotiations. You will plan, document, and drive the growth of Databricks usage for your customers. You will develop a deep and detailed understanding of the customer's business. Provide leadership to the customer, important staff, and technical teams. Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization. Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions. What we look for: 7+ years of experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment. Selling experience to Enterprise Retail/CPG customers in Japan. Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies. 5+ years of experience in sales methodologies and processes, e.g. account plan

Required Skills

Advanced ExcelData ScienceExcelLeadershipMachine LearningNegotiationSpark

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