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SLSQ427R684
Databricks operates at the leading edge of the Data and AI space with a mission to help companies solve the world's toughest problems.
We are seeking an experienced strategic sales leader to manage and grow our Seoul-based Business Development team and help us expand our South Korean business.
Reporting to the Director, Sales Development, you will be an important contributor to our sales leadership team, leading recruiting, pipeline generation/consumption growth strategy, and constructive coaching for our Business Development team members.
You will have experience driving pipeline generation, leading sales development teams, and working with sales and marketing teams.
The impact you will have:
- Take the primary leadership role in building and scaling an outstanding team
- Support and shape the strategy for pipeline generation within KR
- Create innovative strategies to accelerate new customer acquisition and consumption growth
- Manage your team's pipeline target and be active in coaching team members to be successful
- Work with cross-functional regional leaders to maximize the contribution of the team
- Analyze team performance and funnel data to identify and fix inefficiencies
What we look for:
- Minimum 2-3 years of experience as a Sales Development manager with consistent overachievement against quota
- Experience in a quota-carrying, end-to-end sales role with consistent overachievement against quota
- Experience growing a sales development team by recruiting and developing BDRs focused on giving people the training and support that they need to succeed
- Expertise in using Salesforce and Outreach.io, additional experience with AI tools will be advantageous
- Proficiency in Native Korean and business-level English proficiency required. The role involves regular communication with regional and global stakeholders in English, including meetings, reporting, and written communication. English proficiency may be assessed through the interview process or equivalent evidence such as TOEFL, TOEIC, IELTS, or relevant work experience.
- Experienced in sales processes focused on value selling, prospecting, and opportunity qualification
- Ability to adapt to a fast-paced environment and lead through ambiguity
- Passion for cloud, big data, and AI
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.
Skills Required
- 2–3 years of experience as a Sales Development Manager with consistent quota overachievement
- Experience in a quota-carrying, end-to-end sales role with consistent quota overachievement
- Experience recruiting and developing BDRs and growing a sales development team
- Expertise using Salesforce and Outreach.io
- Native Korean proficiency
- Business-level English proficiency
- Experience with value selling, prospecting, and opportunity qualification
- Ability to adapt to a fast-paced environment and lead through ambiguity
- Passion for cloud, big data, and AI
- Experience with AI tools
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
