Revenue Enablement Manager
Databricks is hiring a Revenue Enablement Manager in Seoul, South Korea. Level rates it ; you can apply on Databricks.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions revenue enablement, technical pre sales and solutions architecture among its tools and skills.
- Level classes it as a senior role.
- Databricks has 922 other open roles on Level.
- Posted in the last few days.
AI in this role
Drive technical enablement for Databricks Go-To-Market teams in Korea, connecting platform capabilities including data and AI to customer revenue outcomes.
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.
How we rate this
Revenue Enablement Manager at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where revenue enablement was part of your work. What did you do?
- Tell me about a project where technical pre sales was part of your work. What did you do?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where sales enablement was part of your work. What did you do?
- Tell me about a project where field engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Revenue Enablement, Technical Pre Sales, Solutions Architecture, Sales Enablement, and Field Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new AI jobs (Works on AI ●●●○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step