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Sr. Manager, Sales Development

Databricks· Sales
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Seoul, South Koreafull-timePosted 2w ago

About the role

Databricks is seeking an experienced strategic sales leader to manage and grow the Seoul-based Business Development team and expand the South Korean business. This role reports to the Director, Sales Development and focuses on recruiting, pipeline generation/consumption growth strategy, and coaching for the Business Development team.

Responsibilities

  • Take the primary leadership role in building and scaling an outstanding team
  • Support and shape the strategy for pipeline generation within KR
  • Create innovative strategies to accelerate new customer acquisition and consumption growth
  • Manage your team's pipeline target and coach team members to be successful
  • Work with cross-functional regional leaders to maximize the contribution of the team
  • Analyze team performance and funnel data to identify and fix inefficiencies

Qualifications

  • Minimum 2-3 years of experience as a Sales Development manager with consistent overachievement against quota
  • Experience in a quota-carrying, end-to-end sales role with consistent overachievement against quota
  • Experience growing a sales development team by recruiting and developing BDRs
  • Expertise in using Salesforce and Outreach.io, additional experience with AI tools will be advantageous
  • Proficiency in Native Korean and business-level English proficiency
  • Experienced in sales processes focused on value selling, prospecting, and opportunity qualification
  • Ability to adapt to a fast-paced environment and lead through ambiguity
  • Passion for cloud, big data, and AI

Skills

Required:Sales Development managementPipeline generationSalesforce
Nice to have:Outreach.io

Benefits

  • Benefits information available via regional link
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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