Sr. Manager, Field Engineering

Req ID - FEQ127R325

Location: Central US

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.  This team is focused on the Energy Industry, a sector leveraging the Databricks Data Intelligence Platform to enable an unprecedented transformation.  We help Energy customers realize AI’s potential to drive the future of sustainable and efficient power.  Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward.
Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Energy segment of Databricks’ Field Engineering team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments)  to increase revenue and help customers achieve meaningful business outcomes. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

The impact you will have:
You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.
Make your customers extremely successful with Databricks and provide outsized value to their businesses.
You will maintain a robust hiring pipeline at all times.
Establish relationships across the business to make your customers and team successful.
Partner with sales leadership to hit sales and consumption targets and ensure customer success.
Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.

What we look for:
3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre- and post-sales professionals.
7+ years of experience in the data space with a technical product (i.e., data warehousing, big data, or machine learning).
A deep technical understanding of the impact that Data & AI can drive within various industry segments.
Trusted advisor to technical executives who guide strategic data infrastructure decisions.
Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
Create a positive dynamic within the team and foster a working relationship among Field Engineering, Sales, and other key internal partners.
Experience working with teams across Sales, Product Management, Engineering, and Customer Success.
Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers towards ideal solutions - that scale.
Demonstrated experience hiring and enabling top talent in a fast-paced, ever-changing environment.