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Описание вакансии
Текст:
TL;DR
Sr. Manager, Field Engineering (Data & AI): Building and leading a Korean-market pre-sales Solutions Architect organization with an accent on team scaling, value-based selling, and complex data and AI solutions. Focus on mentoring field-engineering teams, improving sales-cycle effectiveness, supporting enterprise stakeholders, and increasing the return on investment of Solutions Architect involvement.
Location: Seoul, South Korea
Company
Databricks is a data and AI company providing a unified platform for data, analytics, AI applications, and agents to organizations worldwide.
What you will do
- Build, hire, and lead a pre-sales team of Solutions Architects for assigned Korean-market accounts.
- Scale the Field Engineering organization while maintaining quality.
- Coach sales and pre-sales team members to collaborate effectively through complex sales cycles.
- Promote solution- and value-based selling and improve the effectiveness of Solutions Architect involvement in sales.
- Develop relationships with customer stakeholders and understand account business needs and revenue potential.
- Build Databricks' brand in partnership with Marketing and Sales.
Requirements
- Experience as a Pre-Sales Manager 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 data-driven decision-making, AI, and cloud software models.
- Experience establishing processes that improve the efficiency of technical field teams.
- Background in data architecture, including data lakes, data engineering, data warehouses, or data science.
- Native-level Korean required; business-level English strongly preferred.
Culture & Benefits
- Collaborative culture within a rapid-growth team.
- Customer-obsessed, teamwork-oriented, and diverse working environment.
- Comprehensive benefits and perks, with details varying by region.
- Inclusive hiring practices and equal employment opportunity standards.
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