DatabricksSr. Manager, Field Engineering
Databricks is hiring a Sr. Manager, Field Engineering in Seoul, South Korea. Level rates it ; you can apply on Databricks.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Cloud, Big Query and pre sales.
- Level classifies it as a senior role.
- Level lists 904 other open roles at Databricks.
AI in this role
Lead a team of pre-sales Solutions Architects focused on data and AI cloud software solutions for the Korean market at Databricks.
FEQ427R422
As a Sr.Manager, Field Engineering, you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts for the Korean market. Your experience partnering with the sales organization will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in customers' companies. You will report to the Director, Field Engineering based in Korea.
The impact you will have:
- Manage hiring, building the pre-sales team of Solutions Architects
- Rapidly scale the designated Field Engineering segment organization without sacrificing quality
- Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture
- Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
- Promote a solution and value-based selling field-engineering organization
- Display an understanding of business needs and revenue potential for accounts in the assigned region
- Build Databricks' brand in partnership with the Marketing and Sales team
What we look for:
- Experience in a Pre-Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
- Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams.
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to improve efficiency
- Background experience in Data Architecture such as Data Lake, Data Engineering / Data Warehouse technologies or Data Science
- Native level Korean required; business‑level English strongly 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, 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
Sr. Manager, Field Engineering 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 pre sales was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where cloud software was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Pre Sales, Team Management, Cloud Software, Data Architecture, and Data 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.
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