Manager, Field Engineering Italy
Posted by employer 9 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 hour ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Field Engineering Manager at Databricks, the individual will oversee a team of pre-sales Solutions Architects and Engineers, focusing on enhancing team effectiveness and driving revenue through strategic partnerships. Key skills include experience in Big Data, Cloud, or SaaS environments, along with strong communication abilities in both Italian and English. This position is ideal for someone with a background in technical management and a passion for data and AI, looking to contribute to a collaborative culture within a rapidly growing organization.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page November 6, 2026.
Quick facts
- Is the Manager, Field Engineering Italy role remote?
- It's hybrid — Databricks expects some on-site time in Milan, Italy.
- Where is the role based?
- Databricks is hiring for this position in Milan, Italy.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Big Data, Cloud, Data Engineering, Data Science, SaaS, database technologies.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Manager, Field Engineering Italy role at Databricks.
From the original posting
FEQ427R185
Note: 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 Italy
- Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
- Support increased return on investment of SA involvement in sales cycles
- Ensure a solution and value-based selling within the field-engineering organization
- Display an understanding of needs and revenue potential for accounts in the assigned region
- Engage with key customer executives to build and strengthen strategic partnerships
- Ensure close alignment with partners and internal services to secure implementation strategies within accounts
- Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region
What we look for:
- Experience managing a team of successful Big Data, Cloud, or SaaS professionals
- Experience in consumption based business environments
- Have experience mentoring and scaling technical teams
- Success in instituting processes for technical field members to lead efficiency and product focus
- Ability to partner and collaborate with Sales and other cross-functional leaders
- Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions
- Technical or consulting background either in Data Engineering, Database technologies or Data Science
- Strong communication skills. Italian native-speaker and fluent in English.
#LI-hybrid
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here.
About Databricks
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