Manager, Field Engineering Israel

Databricks Databricks · Data AI · Herzliya, Israel · Field Engineering - Other

Manager, Field Engineering Israel role at Databricks, leading a team of technical pre-sales Solutions Architects and Solutions Engineers. Focuses on driving revenue, coaching sales teams, building relationships with partners, and ensuring value-based selling. Requires experience managing Big Data, Cloud, or SaaS professionals, with 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 in Israel
  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

  • 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
  • Strong communication skills
  • Hebrew native-speaker and fluent in English

Nice to have

  • Passion for data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions

What the JD emphasized

  • lead a team of technical pre-sales Solutions Architects and Solutions Engineers
  • partnering with the sales organisation
  • coach sales and pre-sales teams
  • technical pre-sales
  • Big Data, Cloud, or SaaS professionals
  • technical teams
  • technical field members
  • Sales and other cross-functional leaders
  • data and AI market
  • Technical or consulting background either in Data Engineering, Database technologies or Data Science