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Databricks

Builds cloud software for data analysis and AI

Senior Manager - Field Engineering

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • Experience in a pre-sales manager role developing, managing, and building a team of successful 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, artificial intelligence, and cloud software models.
  • Background experience in data architecture, such as data lakes, data engineering, data warehouse technologies, or data science.
  • Native-level Korean is required.

Responsibilities

  • Build and lead a team of pre-sales Solutions Architects focused on assigned accounts in the Korean market.
  • Coach new sales and pre-sales team members to work together.
  • Guide and participate in improving the team's effectiveness.
  • Communicate complex, business value-focused solutions.
  • Support complex sales cycles and build relationships with key stakeholders in customer companies.
  • Hire and build the pre-sales Solutions Architect team.
  • Scale the designated Field Engineering segment organization while maintaining quality.
  • Build a collaborative culture within a rapid-growth team and promote the company's customer-focused, teamwork, and diversity culture.
  • Increase the return on investment of Solutions Architect involvement in sales cycles by 2–3 times over 18 months.
  • Promote a solution- and value-based Field Engineering organization.
  • Understand business needs and revenue potential for accounts in the assigned region.
  • Build the company's brand in partnership with the Marketing and Sales teams.

Desired Qualifications

  • Business-level English is strongly preferred.
  • Ability to institute processes that improve efficiency for technical field members.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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