Sr. Manager, Field Engineering

Databricks
Seoul, South Korea
On-siteCareer-pivot friendly

Who this role is best for

Geared toward experienced pre-sales leaders comfortable with building and mentoring teams in the Korean market.

Best fit for

  • Candidates with pre-sales leadership experience in Big Data or SaaS who can build and mentor teams
    — “Experience in a Pre-Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
  • Individuals who have successfully scaled technical teams in both onshore and offshore environments
    — “Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams
  • Professionals with a deep understanding of data architecture and a passion for AI and Cloud technologies
    — “Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models

Things to consider

  • Native-level Korean is required, which may be a critical language barrier for non-native speakers
    — “Native level Korean required; business‑level English strongly preferred
  • The role involves a significant focus on revenue generation through pre-sales efforts
    — “Support complex sales cycles; and build relationships with key stakeholders in customers' companies

How to stand out

  • Emphasize your ability to mentor technical teams and implement efficient processes
    — “Great at instituting processes for technical field members to improve efficiency
  • Demonstrate your expertise in data architecture and Cloud technologies in your resume and interview responses
    — “Background experience in Data Architecture such as Data Lake, Data Engineering / Data Warehouse technologies or Data Science
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Scaling the Field Engineering segment
  • Building a collaborative culture
  • Increasing ROI of SA involvement
Typical background
Experience in a Pre-Sales Manager roleBackground in Data Architecture

Skills & requirements

Required

Field Engineering ManagementPre-sales Solutions ArchitectureTeam Building And MentoringTechnical Field Member CoachingData Architecture Knowledge

Preferred

Experience In Big Data, Cloud, Or Saas

Stack & domain

Big DataCloudSaasData ArchitectureData LakeData EngineeringData WarehouseData ScienceLeadershipProblem-solvingTeamworkCommunicationFinanceHealthcareManufacturingRetailCPGPharma

About the role

Original posting from Databricks

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.

Source: Databricks careers

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