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Field Engineering Manager - Solutions Architects

DatabricksMelbourne, AustraliaNew
On-site Full-time

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Experience Level

Manager

Qualifications

What We Are Looking For:Proven experience as a Pre Sales Manager in developing, managing, and building successful teams in Big Data, Cloud, or SaaS environments. Experience working with Digital Native companies or ecosystems. Demonstrated ability to scale and mentor field and technical teams, both locally and offshore. Strong knowledge and passion for data-driven decision-making.

About the job

Join Databricks as a Field Engineering Manager!

We are seeking a dynamic and experienced Field Engineering Manager to lead our Solutions Architects team in Melbourne. In this role, you will be responsible for building and leading a pre-sales team focused on delivering exceptional solutions to our clients. Your ability to collaborate with the sales organization will be crucial in driving revenue growth and mentoring new team members. You will play a vital role in enhancing team effectiveness, communicating complex value-driven solutions, supporting intricate sales cycles, and establishing strong relationships with key stakeholders within client companies.

Your Responsibilities:

  • Recruit and develop a high-performing pre-sales team of Solutions Architects.
  • Scale the designated Field Engineering segment organization efficiently while maintaining high-quality standards.
  • Create a collaborative culture within a rapidly growing team, embodying Databricks' commitment to customer obsession, teamwork, and diversity.
  • Boost the return on investment of Solution Architect involvement in sales cycles by 2-3x within 18 months.
  • Foster a solution and value-based selling approach within the field engineering organization.
  • Understand and address business needs and revenue potential for assigned accounts.
  • Enhance Databricks' brand in collaboration with the Marketing and Sales teams.

About Databricks

Databricks is a leading cloud-based data platform that empowers organizations to make data-driven decisions efficiently and effectively. We are committed to fostering innovation, collaboration, and a diverse work environment, where every team member's contribution is valued.

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