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Sr. Manager, Field Engineering

Databricks
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Seoul, South Koreafull-timePosted 2mo ago

About the role

Senior-level leadership role responsible for building and leading a team of pre-sales Solutions Architects in the Korean market, driving revenue through value-based field engineering, and partnering with Sales and Marketing.

Responsibilities

  • Manage hiring, building the pre-sales team of Solutions Architects
  • Rapidly scale the designated Field Engineering segment organization without sacrificing quality
  • Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture
  • Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
  • Promote a solution and value-based selling field-engineering organization
  • Display an understanding of business needs and revenue potential for accounts in the assigned region
  • Build Databricks' brand in partnership with the Marketing and Sales team

Qualifications

  • Experience in a Pre-Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
  • Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams
  • Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
  • Great at instituting processes for technical field members to improve efficiency
  • Background experience in Data Architecture such as Data Lake, Data Engineering / Data Warehouse technologies or Data Science
  • Native level Korean required; business‑level English strongly preferred

Skills

Required:Pre-Sales ManagementTeam scaling and mentorshipData-driven decision making / AI / Cloud softwareProcess optimizationData Architecture / Data Lake / Data Engineering / Data Warehouse / Data ScienceKorean language
Last updated Sep 10, 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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