We launched recruiters.rip, let your AI apply for you. First month free with code onemonthfree

Enterprise Account Executive - Hunter (New Logo)

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

View jobs by Databricks

Skills

Candidate Availability

About the Role

You will identify, acquire, and grow new business across multiple industries in Japan. You will develop a focused strategy for high-potential accounts, close quick wins while managing complex sales cycles, build C-level relationships, and coordinate Databricks teams and partners. You will report to the Director, Sales in Japan.

Requirements

  • 5+ years selling multi-million dollar complex software deals to Enterprise organizations
  • Knowledge of segment priorities, buying processes and decision-making
  • Background selling usage-based PaaS/SaaS or Data/AI/ML technologies
  • 5+ years in sales methodologies such as MEDDPICC, value selling, Command of the Message
  • 5+ years hunting in greenfield space and expanding existing accounts
  • Ability to build customer champions and collaborative teams
  • Understanding of partner strategy

Responsibilities

  • Secure new Enterprise accounts across multiple industries
  • Develop and execute a strategy to win high-potential accounts in untapped markets
  • Close quick wins while managing complex sales cycles
  • Plan and drive growth of Databricks usage in new accounts
  • Establish C-Level relationships across Engineering, Platform, Architecture and Data Science
  • Use a solution-based approach to selling
  • Develop a deep understanding of the customer's business
  • Provide leadership to customers and technical teams
  • Identify data use cases and buying centers
  • Orchestrate Databricks teams and ecosystem partners