---
title: 'Sr. Manager, Field Engineering at Databricks'
canonical: 'https://feeny.ai/job/sr-manager-field-engineering-databricks-seoul-dctyd32endgk'
type: 'job'
last_seen: '2026-09-05'
---

# Sr. Manager, Field Engineering at Databricks

- **Company:** Databricks
- **Location:** Seoul, South Korea
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-05
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8736179002

## Job description

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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

## Other roles at Databricks

- [Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers)](https://feeny.ai/job/sr-manager-field-engineering-healthcare-and-life-sciences-healthcare-providers-yr4vq9ck4mjs) — United States
- [Strategic Enterprise Account Executive, State and Local](https://feeny.ai/job/strategic-enterprise-account-executive-state-and-local-databricks-new-york-9nxnagrrk57h) — New York, NY
- [Sr. Recruiter, GTM & Field Engineering](https://feeny.ai/job/sr-recruiter-gtm-field-engineering-databricks-london-kcp6d3mm21sh) — London, United Kingdom
- [Recruiter, GTM & Field Engineering](https://feeny.ai/job/recruiter-gtm-field-engineering-databricks-london-9yb20xg2j6v3) — London, United Kingdom
- [Executive Assistant, R&D](https://feeny.ai/job/executive-assistant-r-d-databricks-belgrade-cyhdd10ajyr8) — Belgrade, Serbia
- [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-databricks-berlin-cmntcda7q98y) — Berlin, Germany / Munich, Germany
- [Strategic Enterprise Account Executive - Financial Services](https://feeny.ai/job/strategic-enterprise-account-executive-financial-services-databricks-new-york-fqfj6fn9869c) — New York City, NY
- [Enterprise Geo Hunter Account Executive - Financial Services](https://feeny.ai/job/enterprise-geo-hunter-account-executive-financial-services-databricks-northeast-0bbs8dp2bafw) — Northeast, United States
- [Solutions Architect (Genie)](https://feeny.ai/job/solutions-architect-genie-databricks-bengaluru-czws9caf45ay) — Bengaluru, India / Delhi, India / Mumbai, India
- [Sr. Solutions Architect (CustomerLake)](https://feeny.ai/job/sr-solutions-architect-customerlake-databricks-tokyo-2b6w41hnhdwp) — Tokyo, Japan