Sr. Manager, Field Engineering - Financial Services (Banking and Payments)

What We Look For

• Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
• Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale
• 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 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 anticipates 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.