Experience leading technical overlay customer-facing teams
Expertise in data warehousing big data or machine learning
Proven track record hiring and ramping technical talent
Databricks is seeking a Sr. Manager, Specialist Solutions Architect to lead a team focused on technical sales cycles within the data space. The ideal candidate will have extensive experience in managing customer-facing teams, particularly in pre-sales environments, and will be responsible for enhancing team effectiveness, developing technical expertise, and fostering customer relationships
Job Summary
You will lead a diverse team of Specialist Solutions Architects responsible for key elements of the technical sales cycle and deep technical expertise.
The role requires exceeding region consumption targets by deploying technical experts to drive critical use cases and prevent churn in strategic accounts.
You will act as a supportive manager handling escalations, mentoring team members, and building career paths while resolving customer concerns on strategic opportunities.
Matching Summary
Match Score: 85
Databricks is seeking a Sr. Manager, Specialist Solutions Architect to lead a team focused on technical sales cycles within the data space. The ideal candidate will have extensive experience in managing customer-facing teams, particularly in pre-sales environments, and will be responsible for enhancing team effectiveness, developing technical expertise, and fostering customer relationships.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Experience leading technical overlay customer-facing teams
Expertise in data warehousing big data or machine learning
Proven track record hiring and ramping technical talent
Ability to guide complex sales cycles and proof of concepts
Strategic planning for regional consumption targets
Nice-to-have
Trusted advisor to technical executives
Strong relationship building with large corporations
Cross-functional collaboration with Sales and Product teams
Fostering positive team morale and career development
Key Requirements
Senior roles in data space with technical product experience
Leadership experience with team sizes greater than 8
Experience working with Sales, Product Management, and Professional Services