Databricks is the data and AI company, and they are seeking a Sr. Manager for their Field Engineering team. This role involves managing a team of Solutions Architects focused on enterprise software and AI, driving customer success and accelerating growth in the market.
Responsibilities:
- You will hire, train, grow, and manage a bar-raising 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 while ensuring customer success
- Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs
Requirements:
- 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
- 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI)
- A deep technical understanding of the impact that Data + AI can drive within various industry segments
- Technical competence to earn the trust of Engineering talent and leadership at Databricks
- 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
- Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans
- Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners
- Experience working with other teams such as Product Management, Engineering, and Customer Success
- Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale