Sr. Manager, Field Engineering
Databricks·Chicago, Illinois; Connecticut; New Jersey; Remote - New York; Remote - Washington D.C.; San Francisco, California·remote global
crypto:applicationengineeringIC5Field Engineering - FE Direct Emerging
Compensation
Not disclosed
FEQ427R411 Req ID
Mission
Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and gener ative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help ac celerate Data bricks' growth in the market.
The Impact You Will Have
You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
Make your customers e xtremely successful with Databricks and provide outsized value to their businesses
You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
You will establish relationships across the business to make your customers and team successful
You will keep your team of SAs ah ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
You will ensure that you r team is continuously learning and working to provide our customers with the most comprehensive solution s for their needs
You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets
What We Look For
Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
10+ years of experience in the data space with a technical product (i.e. data warehousing,