Databricks is the data and AI company, and they are seeking a Manager, Field Engineering to lead a team of Solutions Architects. The role focuses on driving customer success through technical sales and team leadership in a high-growth environment.
Responsibilities:
- You will hire, train, and grow 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
- 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
Requirements:
- Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
- 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
- Trusted advisor to technical executives that guide strategic data infrastructure decisions
- Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
- Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
- Strong understanding of consumption-driven business models and the recipes for long term growth and success
- Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
- Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams
- Experience working cross-functionally with other teams such as 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