Sr. Manager, Field Engineering Qatar&africa

Databricks Databricks · Data AI · Paris, France · Field Engineering - Other

Lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Qatar & Africa, driving revenue through effective sales partnerships, coaching, and relationship building with large corporations. Requires experience managing Big Data, Cloud, or SaaS professionals and a technical background in Data Engineering, Database technologies, or Data Science.

What you'd actually do

  1. Hire, mentor and grow the pre-sales team for the Qatar & Africa markets
  2. Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
  3. Support increased return on investment of SA involvement in sales cycles
  4. Ensure a solution and value-based selling within the field-engineering organization
  5. Display an understanding of needs and revenue potential for accounts in the assigned region

Skills

Required

  • Team management
  • Pre-sales technical leadership
  • Sales collaboration
  • Customer executive engagement
  • Strategic partnership building
  • Big Data, Cloud, or SaaS professional management
  • Consumption-based business environments
  • Mentoring and scaling technical teams
  • Process implementation for technical teams
  • Collaboration with Sales and cross-functional leaders
  • Data Engineering, Database technologies, or Data Science background
  • Strong communication skills
  • Italian native-speaker
  • Fluent in English

Nice to have

  • Passion for data and AI market
  • Strong POV on Databricks solutions

What the JD emphasized

  • Experience managing a team of successful Big Data, Cloud, or SaaS professionals
  • Experience in consumption based business environments
  • Have experience mentoring and scaling technical teams
  • Success in instituting processes for technical field members to lead efficiency and product focus
  • Ability to partner and collaborate with Sales and other cross-functional leaders
  • Technical or consulting background either in Data Engineering, Database technologies or Data Science