Manager Field Engineering
Manager Field Engineering
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Job Description
FEQ426R174
As a Manager in the Databricks Field Engineering team you will lead a team of presales Solutions Architects.
You will help to continue expansion of the German market and develop the technical presales teams. Your experience partnering with the sales organisation will help close revenue with the right approach whilst coaching new sales and presales teams to work together.
You will guide and get involved to enhance your teams effectiveness; be an expert at communicating complex business valuefocused solutions; support complex sales cycles and build relationships with important partners in large corporations.
You will report to the Director Field Engineering in Germany.
The impact you will have:
- Manage hiring and building the Solutions Architect team scaling the designated field engineering segment organization without sacrificing quality
- Build a motivated collaborative culture within a hypergrowth team. To embody and promote Databricks customerobsessed teamwork and diverse culture
- Support increased Return on investment of SA involvement in sales cycles by 23x over 18 months
- Ensure a solution and valuebased selling fieldengineering organization
- Display an understanding of needs and revenue potential for accounts in the assigned region
- Engage with Customer Executives to deliver strong point of views and driving the partnership with Databricks while supporting account teams
- Ensure close alignment with partners and internal services to secure implementation strategies within accounts
- Continue to build Databricks brand in Germany in partnership with the Marketing and Sales team
What we look for:
- Familiar with building a team of successful Big Data Cloud or SaaS professionals
- Have experience scaling and mentoring field or technical teams from scratch at hypergrowth speed
- Knowledgeable in and passionate about datadriven decisions AI and Cloud software models
- Great at instituting processes for technical field members to lead efficiency
- Technical background either in Data Engineering / Database technologies or Data Science
- Experienced in strategic customer engagements.
- Ideally fluent in German
Required Experience:
Manager
Employment Type
Full Time
