About The Position
This Sr. Field Engineering Manager will lead a team of Solutions Architects (SA) focusing on clients in the Financial Services industry within our mid market segment (Emerging Enterprise). This role will expand and develop a dynamic team skilled in working with customers to help them define their Data and AI strategy along with transforming their data engineering, analytics, and ML/AI workloads. It will require experience partnering with the sales organization to help grow consumption and win new workloads by enhancing your team's effectiveness; being an expert at communicating complex value-focused solutions; and building relationships with key stakeholders in large customers.
Requirements
- 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).
- 2+ years of experience building and leading technical customer-facing teams - hiring, onboarding, and supporting team members in a hypergrowth environment;
- A history of building a territory; growing strategic accounts; and exceeding targets
- Led a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
- Inspiring a team vision about the unique nature of their group - to help foster a healthy and productive working relationship within the team and other organizations.
- A history of execution by managing workloads and consumption with sales counterparts. Sharing learnings and blockers with the team and working to accelerate growth and adoption.
- Experience with driving executive alignment in accounts that guide strategic data infrastructure decisions and establish partnerships through adoptions and growth.
Nice To Haves
- Experience in Financial Services industry as an IC or leader is a big plus
Responsibilities
- Hire, train, and grow a team of Solutions Architects for a company and business unit in high-growth mode.
- Consistently meets or exceeds field targets by making sure the SA team knows how to qualify workloads - especially from a technical perspective, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle.
- Ensure customer success with Databricks and provide outsized value to their businesses.
- Establish relationships across internal organizations (partners, services, sales, product, engineering, etc.) to ensure the success of the customers and team.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
