Sr. Manager, Field Engineering

Databricks · Seoul, South Korea · Field Engineering - Other · listed August 25, 2026

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The shape of it

Seniority
Manager
Where
Not stated
Requirements listed
6
Length
531 words

In the posting’s own words

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.

What it asks for · 6

  • 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

What the job covers

  • 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

Tools and skills named

Data
  • Data warehouse2×
  • Databricks2×
Ways of working
  • Mentorship2×
Go to market
  • SaaS

Words the posting leans on

  • data6×
  • sales5×
  • build4×
  • experience4×
  • pre-sales4×
  • solutions4×
  • business3×
  • field engineering3×
  • organization3×
  • accounts2×
  • assigned2×
  • building2×
  • cloud2×
  • complex2×
  • culture2×
  • korean2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 30, 2026 and last changed by Databricks on August 25, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.