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Lead Engagement Manager, FDE - DNB

Databricks· Engineering
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San Francisco, CA$178.8k - $245.9kFull-timePosted 1mo ago

About the role

The Lead Engagement Manager delivers measurable impact for Digital Native Business (DNB) customers and at the Business Unit or Regional level within the Forward Deployed Engineering organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.

Responsibilities

  • Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals.
  • Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
  • Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
  • Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
  • Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.

Qualifications

  • 10+ years of leadership experience in Professional Services.
  • Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
  • Proficient thought leadership, increasingly viewed as an external expert in the industry.
  • Participate in the hiring process to attract top-tier talent.
  • Expertise in Databricks architecture, ecosystem, and strategic account planning.
  • Ability to travel up to 25-50% as required.

Benefits

  • For more information regarding benefits, see region-specific details linked in the job description.
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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