--- title: 'Account Executive - Strategic Core at Databricks' canonical: 'https://feeny.ai/job/account-executive-strategic-core-databricks-seoul-5eq6tjsftnf9' type: 'job' last_seen: '2026-11-07' --- # Account Executive - Strategic Core at Databricks - **Company:** Databricks - **Location:** Seoul, South Korea - **Posted:** 2026-11-01 - **Last confirmed live:** 2026-11-07 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8880402002 ## Job description ## SLSQ128R22 As a Strategic Core Account Executive, your mission will be to lead the executive relationship, overall consumption growth, and cross-enterprise expansion across a select group of Databricks’ largest strategic accounts in Korea. This role is centered on expanding our strategic footprint within complex conglomerates and large enterprises. You will position Databricks as the enterprise-wide standard for data, analytics, and generative AI by identifying new buying centers, driving multi-million-dollar commitments, and accelerating workload consumption. Working as the general manager of your named accounts, you will orchestrate specialized cross-functional teams, executive sponsors, and global partners to unlock mission-critical customer transformations. You will report to the Director of Sales, Korea. The impact you will have: - Own and grow total annual contract value (ACV), consumption revenue, and customer lifetime value within a dedicated portfolio of Korea's largest strategic enterprise accounts. - Build and execute multi-year strategic account plans that align Databricks capabilities directly with the customer’s strategic transformation roadmaps. - Systematically uncover new buying centers and business units across corporate subsidiaries, expanding adoption from initial workloads to company-wide standardization. - Build and maintain C-level and board-level relationships across both technology and business functions (CEO, CIO, CDO, BU Presidents). - Drive widespread consumption growth by collaborating with customer success, forward-deployed engineering, and professional services teams. - Lead complex commercial negotiations, long-term multi-year enterprise license agreements, and consumption commit structures. - Coordinate deeply with strategic global and domestic SI partners and Hyperscalers (AWS, Azure, GCP) to deliver mission-critical solutions at enterprise scale. What we look for: - 10+ years of experience in enterprise technology sales, managing top-tier named accounts or conglomerate groups in Korea. - Proven track record of closing 8-figure / multi-million-dollar complex cloud, PaaS, or enterprise software agreements. - Deep expertise in consumption-based business models, workload migration, and cloud/data modernization. - Mastery of enterprise sales disciplines (MEDDPICC, Value Realization, Executive Relationship Management, and Matrix Account Planning). - Proven experience orchestrating matrixed internal resources (Pre-sales, Customer Success, Product Management, Legal, Executive Sponsors). - Established executive networks across major Korean conglomerates. - Native-level fluency in Korean is required and fluent, professional business English is 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 - [Senior Software Engineer - Backend Infrastructure](https://feeny.ai/job/senior-software-engineer-backend-infrastructure-databricks-bengaluru-vpasw6hzvvmz) — Bengaluru, India - [Tech Sourcer (Contract)](https://feeny.ai/job/tech-sourcer-contract-databricks-bengaluru-qcngncprng8c) — Bengaluru, India - [Senior Delivery Partner Manager, Services](https://feeny.ai/job/senior-delivery-partner-manager-services-databricks-paris-kbmq216ns03q) — Paris, France - [Senior Delivery Partner Manager, Services](https://feeny.ai/job/senior-delivery-partner-manager-services-databricks-london-wr7h4swwwnve) — London, United Kingdom - [Strategic Account Executive, Telco](https://feeny.ai/job/strategic-account-executive-telco-databricks-finland-a76twpqacb3f) — Finland - [Senior Solutions Architect - Lakebase](https://feeny.ai/job/senior-solutions-architect-lakebase-databricks-stockholm-t18rnhc9p7b2) — Stockholm, Sweden - [Revenue Enablement Manager](https://feeny.ai/job/revenue-enablement-manager-databricks-seoul-4vpvc8n4fnkv) — Seoul, South Korea - [Director of Engineering - Databricks Commercialization & Marketplace](https://feeny.ai/job/director-of-engineering-databricks-commercialization-marketplace-databricks-kd9w2zy06vn9) — Bellevue, WA - [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-databricks-usca-xepft1k0dvwk) — USCA - [Sr. Forward Deployed Engineer - Public Sector](https://feeny.ai/job/sr-forward-deployed-engineer-public-sector-databricks-alabama-berkeley-ca-tka7hfbcjmz4) — Alabama / Berkeley, CA / Connecticut / Kansas City, MO / Maryland / New Hampshire / New Jersey / North Carolina / Rhode Island / San Diego, CA / South Carolina