Sr. Manager, Field Engineering

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

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.