Sr. Engagement Manager, FDE

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.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will help customers accelerate value by positioning and selling FDE and training engagements. You will engage early in the sales process, identify upsell opportunities, develop commercial models, scope and write SOWs, and resolve delivery challenges while meeting FDE and training KPIs.

Requirements

  • Data and AI domain knowledge and production implementation experience
  • Senior customer-facing or services sales experience
  • Strong relationship skills with senior executives
  • Strong leadership, project governance and program management skills
  • Experience estimating effort and scope
  • Experience achieving CSAT, bookings and revenue KPIs
  • Native-level English and professional Mandarin or Bahasa

Responsibilities

  • Engage early in the sales process to understand customer needs and success definitions
  • Identify new service opportunities and articulate business value
  • Develop commercial models using Databricks and partner investment vehicles
  • Meet or exceed FDE and Training KPIs
  • Articulate customer success stories and metrics
  • Consult with clients on scope, requirements, time, cost and benefits
  • Estimate, scope and develop statements of work
  • Resolve delivery challenges, resource contention and scoping issues