Sr. Manager, Field Engineering
crypto:applicationengineeringIC5Field Engineering - Other
Compensation
Not disclosed
FEQ427R422
As a Sr.Manager, Field Engineering, you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts for the Korean market. Your experience partnering with the sales organization will help close revenue with the right approach whilst coaching new sales and pre-sales team members 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 key stakeholders in customers' companies. You will report to the Director, Field Engineering based in Korea.
The impact you will have:
Manage hiring, building the pre-sales team of Solutions Architects
Rapidly scale the designated Field Engineering segment organization without sacrificing quality
Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture
Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
Promote a solution and value-based selling field-engineering organization
Display an understanding of business needs and revenue potential for accounts in the assigned region
Build Databricks' brand in partnership with the Marketing and Sales team
What we look for:
Experience in a Pre-Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams.
Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
Great at instituting processes for technical field members to improve efficiency
Background experience in Data Architecture such as Data Lake, Data Engineering / Data Warehouse technologies or Data Science
Native level Korean required; business‑level English strongly preferred
About Databricks
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