Role at a glance
- Salary
- Not Disclosed
- Location
- Seoul, South Korea
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Senior Level 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.
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Role Summary
The Sr. Manager, Field Engineering will build and lead a team of pre-sales Solutions Architects for assigned accounts in the Korean market. The role partners with Sales to support complex sales cycles and develop customer relationships through business value-focused solutions.
What You'll Do
- Hire and build the pre-sales Solutions Architect team.
- Scale the designated Field Engineering segment organization while maintaining quality.
- Coach new sales and pre-sales team members to work together.
- Guide and support the team to improve its effectiveness.
- Support complex sales cycles and communicate business value-focused solutions.
- Build relationships with customer stakeholders and partner with Marketing and Sales to build Databricks' brand.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience in a Pre-Sales Manager role developing, managing, and building teams of Big Data, Cloud, or SaaS professionals; experience scaling and mentoring field and technical teams from scratch, including onshore and offshore teams; knowledge of and passion for data-driven decisions, AI, and Cloud software models; ability to institute processes that improve efficiency for technical field members; background experience in Data Architecture, such as Data Lake, Data Engineering / Data Warehouse technologies, or Data Science; native-level Korean required.
Required
- Native-level Korean
Preferred
- Business-level English
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.