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Manager, Field Engineering

DatabricksSeoul, South KoreaPosted Aug 25, 2026Fresh
Engineering ManagerSenior
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1h ago
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Job descriptionReq 8736179002

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

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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

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What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can typically expect an online application followed by an initial recruiter screen. The process may include multiple stages such as a hiring manager conversation, one or more technical or role-specific assessments, and panel interviews with prospective peers or cross-functional stakeholders. For technical roles, candidates may encounter coding exercises, system design discussions, or case studies, while non-technical roles may involve competency-based questions and work samples. Communication is commonly handled through the Greenhouse platform, including scheduling and status updates, though response times vary by team and role. Candidates can generally expect requests for references or background checks later in the process, and it is advisable to prepare examples of past work relevant to the specific position.

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Manager, Field Engineering
Databricks · Seoul, South Korea
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