Manager, Field Engineering - Global Telecommunications

Location: Remote - Georgia

Salary: $172,500–$237,150 USD per year

Company

Databricks provides a unified Data + AI Platform for building and scaling data and AI applications, analytics, and agents.

What you will do

• Lead, coach, and develop a team of approximately 8–10 Field Engineering professionals.
• Partner with Sales and account teams to define technical-win strategies, qualify opportunities, and prioritize customer needs.
• Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization.
• Build trusted relationships with senior customer stakeholders and connect technical recommendations to business outcomes.
• Establish operating rhythms for customer health, technical risk, escalations, capacity, and business impact.
• Partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve customer outcomes.

Requirements

• Experience managing or leading a technical customer-facing team.
• Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.
• Experience partnering with Sales and cross-functional teams during complex, multi-stakeholder engagements.
• Strong customer advisory, executive communication, presentation, and stakeholder-management skills.
• Experience hiring, coaching, motivating, and retaining technical talent.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience with Databricks or comparable data and AI platforms.
• Experience building relationships with senior technical and business stakeholders.
• Experience using data, automation, or AI-enabled tools to improve team effectiveness.
• Experience supporting customers across multiple use cases, technical environments, or business functions.

Culture & Benefits

• Inclusive culture focused on humility, curiosity, transparency, accountability, psychological safety, and continuous learning.
• Comprehensive benefits and perks, with details varying by region.
• Potential eligibility for annual performance bonuses and equity.
• Opportunity to experiment with AI-enabled tools and repeatable practices that improve productivity and customer impact.