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.
192k – 264k
Hybrid7+ YOEEngineering Management
About the role
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 EngineeringData ScienceMachine LearningAIBig DataData WarehousingSolutions ArchitecturePre-SalesProof Of ConceptsTechnical Qualification
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