---
title: 'Revenue Enablement Manager at Databricks'
canonical: 'https://feeny.ai/job/revenue-enablement-manager-databricks-seoul-4vpvc8n4fnkv'
type: 'job'
last_seen: '2026-11-07'
---

# Revenue Enablement Manager at Databricks

- **Company:** Databricks
- **Location:** Seoul, South Korea
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-07
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8931269002

## Job description

CSQ427R519

Databricks is looking for a Revenue Enablement Manager to strengthen the capabilities of our Korea go-to-market organization. This is an internal enablement role spanning Field Engineering, Forward Deployed Engineering, Managers and Sales. Based in Korea, you will partner with the local team to identify capability gaps, improve how teams engage customers, and help accelerate adoption, Databricks consumption and revenue outcomes.

You will bring a strong technical pre-sales perspective — ideally from a very strong Solutions Architect, pre-Sales Engineer, or similar role—and apply it to practical, high-impact enablement. You will connect the needs of Korea’s sellers and Field Engineering team with global enablement programs and product teams, adapting and delivering relevant content locally.

The ideal candidate understands the end-to-end customer consumption and revenue motion, can translate business priorities into skill-building programs, and is comfortable both setting direction and delivering sessions hands-on.

The impact you will have:

- Partner with Korea Sales and Field Engineering leaders to identify business priorities and skill gaps, then prioritize enablement that supports customer outcomes across the revenue lifecycle.
- Design, adapt, and localize global programs for Korea; create and deliver practical workshops and learning experiences for sales and technical audiences.
- Help sellers and Field Engineering connect Databricks’ platform and Data and AI capabilities to customer needs, from discovery and solution positioning through adoption and expansion.
- Collaborate with Sales, Field Engineering, Strategy & Operations, Product, and Enablement partners to keep programs aligned with business priorities, customer needs, and evolving product capabilities.
- Measure program effectiveness using feedback and relevant data; continuously improve enablement and demonstrate impact on adoption, productivity, and revenue outcomes.
- As an addition - You will be the main interface for the APJ revenue enablement function to interlock with the global Field Engineering Enablement team.  This means you should have a strong technical background and inclination.

What we look for:

- 7+ years of experience in technical pre-sales, Solutions Architecture, Sales Engineering, Field Engineering, enablement, or a related customer-facing role in technology or SaaS, with an understanding of the end-to-end customer and revenue motion.
- Ability to identify capability gaps and translate them into practical enablement programs; experience designing, localizing, delivering, or scaling programs for sales and technical audiences.
- Strong facilitation, communication, storytelling, and presentation skills, with the ability to engage technical and business audiences.
- Strong program and stakeholder management skills, including the ability to influence cross-functional partners, manage competing priorities, and operate effectively amid change.
- An outcome-oriented, data-informed approach to measuring and improving programs, plus genuine curiosity about Data and AI and the ability to communicate technical concepts in business-relevant ways.
- Native proficiency in Korean and professional proficiency in English, both verbal and written.

## 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)

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