Manager, Field Engineering

FEQ325R69

As a Manager in the Databricks Field Engineering team, you will lead a team of pre-sales Solutions Architects.

You will help to continue expansion of the German market and develop the technical pre-sales teams. Your experience partnering with the sales organisation will help close revenue with the right approach whilst coaching new sales and pre-sales teams to work together.

You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused 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 hyper-growth team. To embody and promote Databrick's customer-obsessed, teamwork and diverse culture
• Support increased Return on investment of SA involvement in sales cycles by 2-3x over 18 months
• Ensure a solution and value-based selling field-engineering 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 hyper-growth speed
• Knowledgeable in and passionate about data-driven 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

Benefits

• Private medical insurance
• Life, accident & disability insurance
• Pension Plan
• Vision Reimbursement
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus