Sr. Manager, Field Engineering - Public Sector (intel, Navy, Air Force)

Databricks Databricks · Data AI · New York, NY · Field Engineering - FE Direct Enterprise

This role is for a Sr. Manager of Field Engineering focused on the Public Sector (Intelligence Community, Navy, Air Force, Space Force). The primary responsibility is to lead and grow a technical sales team that promotes enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI solutions. The role involves setting strategy, hiring, training, and enabling the team to drive revenue and customer success, with a focus on technical sales and architectural guidance.

What you'd actually do

  1. Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers
  2. You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode.
  3. Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses.
  4. You will maintain a robust hiring pipeline at all times.
  5. Establish relationships across the business to make your customers and team successful.

Skills

Required

  • Proven experience building and leading technical pre(or post)-sales teams
  • 5+ years of experience in the data space with a technical product (data warehousing, big data, machine learning, or generative AI)
  • 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective
  • Trusted advisor to technical executives
  • Lead technical qualification, validations, architecture discussions, and product demonstrations
  • Strategic mindset focused on driving customer outcomes
  • Experience hiring and developing technical talent
  • Cross-functional collaboration skills
  • Technical and business acumen
  • Demonstrated architectural influence

Nice to have

  • experience with Databricks platform
  • experience with Apache Spark, Delta Lake, MLflow

What the JD emphasized

  • lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI
  • Leading the technical sales team
  • scale and maintain an outstanding Field Engineering team
  • Proven experience building and leading technical pre(or post)-sales teams
  • 5+ 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)
  • Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective
  • 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.
  • Strategic mindset focused on driving customer outcomes in an accelerated fashion
  • Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
  • Technical and business skills to earn the trust of Engineering talent and leadership at Databricks.
  • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.