Manager, Field Engineering

About the role

As a Manager, Field Engineering, you will lead a team of technical customer advisors who help organizations solve complex data, analytics, and AI challenges. You will work closely with Sales and cross-functional partners to translate customer priorities into effective technical strategies and strong business outcomes. This role involves building coaching, operating, and collaboration practices to enable your team of 8–10 professionals to succeed.

Responsibilities

• Lead, coach, and develop a high-performing and inclusive Field Engineering team.
• Partner with account teams to define technical-win strategy, qualify opportunities, and prioritize customer needs.
• Build trusted relationships with customer stakeholders, including Director, Head of, and VP-level audiences.
• Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization for customer engagements.
• Establish regular operating rhythms to inspect progress, customer health, technical risk, escalations, capacity, and business impact.
• Coach team members to communicate clearly, navigate ambiguity, influence stakeholders, and connect technical recommendations to business outcomes.
• Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues.
• Experiment with AI-enabled tools and repeatable practices that improve team productivity and customer impact.

Required skills

• Team leadership
• Technical strategy
• Stakeholder management
• Cloud architecture
• Data platforms
• AI technologies
• Technical consulting

Nice to have

• Databricks
• Automation
• AI-enabled tools

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• Equivalent practical experience

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.