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Synced from Greenhouse · Nov 6

Revenue Enablement Manager

DatabricksSeoul, South KoreaPosted Nov 6, 2026
Sales ManagerMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Nov 6
Posted
Greenhouse
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Job descriptionReq 8931269002

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, 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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Revenue Enablement Manager
Databricks · Seoul, South Korea
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