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Manager, Field Engineering Italy

Pubblicato il 12-08-2026 - Databricks in Milano

FEQ427R185Note: Location for the role is in Milan (i.e. within commutable distance).As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Italy. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.The impact you will have:Hire, mentor and grow the pre-sales team in ItalyBuild a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed,



teamwork and diverse cultureSupport increased return on investment of SA involvement in sales cyclesEnsure a solution and value-based selling within the field-engineering organizationDisplay an understanding of needs and revenue potential for accounts in the assigned regionEngage with key customer executives to build and strengthen strategic partnershipsEnsure close alignment with partners and internal services to secure implementation strategies within accountsContinue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the regionWhat we look for:Experience managing a team of successful Big Data, Cloud, or SaaS professionalsExperience in consumption based business environmentsHave experience mentoring and scaling technical teamsSuccess in instituting processes for technical field members to lead efficiency and product focusAbility to partner and collaborate with Sales and other cross-functional leadersPassionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutionsTechnical or consulting background either in Data Engineering, Databas

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