Sr. Manager, Field Engineering
Lead and manage a team of Solutions Architects in the Manufacturing and HiTech segment, driving pre-sales activities for Databricks' Data + AI platform. Requires 7+ years in Data+AI and 3+ years leading technical pre-sales teams, with a focus on hiring, coaching, customer success, and hitting sales targets.
About the job
Responsibilities
- Hire, train, grow, and manage a team of Solutions Architects.
- Maintain a robust hiring pipeline.
- Establish relationships across the business to ensure customer and team success.
- Partner with sales leadership to hit sales and consumption targets while ensuring customer success.
- Keep the team ahead of the technical curve by ensuring continuous learning and advanced knowledge of the data+AI technology stack.
- Lead the team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
- Create a positive team culture and foster working relationships between Field Engineering, Sales, and other internal partners.
- Work with teams such as Product Management, Engineering, and Customer Success.
- Influence and review complex architectures, guiding the team and customers toward scalable solutions.
Requirements
- 3+ years of experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and enabling pre-sales professionals.
- 7+ years of experience in the Data + AI space with a technical product (data warehousing, big data, data science, machine learning, or AI).
- Deep technical understanding of the impact that Data + AI can drive within various industry segments, specifically Manufacturing and HiTech.
- Technical competence to earn the trust of Engineering talent and leadership.
- Experience as a trusted advisor to technical executives guiding strategic data infrastructure decisions.
- Experience hiring pre-sales professionals, ramping them up, promoting them, identifying performance issues, and implementing improvement plans.
- Demonstrated architectural influence.
Nice-to-Haves
- Experience working with Product Management, Engineering, and Customer Success teams.
Skills
Data Engineering, Data Science, Machine Learning, AI, Big Data, Data Warehousing, Solutions Architecture, Pre-Sales, Proof Of Concepts, Technical Qualification
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