FEQ227R233
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, strong customer outcomes, and durable business impact.
This role is typically aligned to an account district, patch, segment, or comparable portfolio and leads a team of approximately 8–10 Field Engineering professionals. You will stay close to the work while building the coaching, operating, and collaboration practices that enable your team to succeed.
The Impact You Will Have
• 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 as appropriate to the engagement.
• 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.
• Create a culture of psychological safety, inclusion, accountability, continuous learning, and recognition.
• Experiment with AI-enabled tools and repeatable practices that improve team productivity and customer impact.
What We Look For
• Experience leading technical customer-facing professionals in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
• A track record of hiring, coaching, motivating, and retaining strong technical talent.
• Ability to provide timely feedback, hold clear career conversations, recognize contributions, and address performance issues directly and compassionately.
• Strong customer-advisory skills, including discovery, executive communication, technical storytelling, and value-based solutioning.
• Practical technical judgment and the ability to coach team members through architecture, deployment, adoption, and risk discussions.
• Operational discipline: you use data and inspection mechanisms to identify issues, make priorities visible, remove blockers, and drive predictable execution.
• An AI-first, builder mindset: you learn quickly, test new approaches, incorporate feedback, and use AI to improve customer and team outcomes.
• Demonstrated alignment with Databricks Culture Principles, including humility, curiosity, transparency, inclusion, and accountability.
Basic Qualifications
• Experience managing or leading a technical customer-facing team.
• Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements.
• Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.
• Strong written, verbal, presentation, and stakeholder-management skills.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Preferred Qualifications
• Experience with Databricks or comparable data and AI platforms.
• Experience building trusted 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.
#CMEG
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$172,500—$237,150 USD
Zone 2 Pay Range
$172,500—$237,150 USD
Zone 3 Pay Range
$172,500—$237,150 USD
Zone 4 Pay Range
$172,500—$237,150 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where