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 durable business impact.

Responsibilities

• Lead, coach, and develop a high-performing and inclusive Field Engineering team.
• Partner with account teams to define technical-win strategy, qualify opportunities, prioritize customer needs, and align team resources.
• 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.
• Maintain technical credibility across Databricks platform concepts, data and AI technologies, cloud architecture, governance, security, and networking.
• Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve outcomes.

Required skills

• Team leadership
• Technical consulting
• Enterprise software
• Cloud architecture
• Data platforms
• AI
• Analytics
• Stakeholder management

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.