Manager, Field Engineering

Databricks Databricks · Data AI · Sao Paulo, Brazil · Field Engineering - FE Direct Enterprise

Manager, Field Engineering for Databricks in Latam, leading a team of Solutions Architects to drive technical sales, increase revenue, and ensure customer success with Databricks' platform, which includes generative AI capabilities. The role focuses on hiring, training, and enabling the team, maintaining technical expertise, and fostering cross-functional relationships.

What you'd actually do

  1. hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
  2. Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  3. maintain a robust hiring pipeline at all times.
  4. Establish relationships across the business to make your customers and team successful.
  5. Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

Skills

Required

  • building and leading technical pre(or post)-sales teams
  • hiring, on-boarding, and enabling pre(or post)-sales professionals
  • 10+ years of experience in the data space with a technical product
  • technical qualification
  • technical validations
  • architecture discussions
  • product demonstrations
  • establishing and fostering external partnerships with systems integrators (SIs) and independent software vendors (ISVs)
  • consumption-driven business models
  • hiring candidates that continually raise the bar
  • ramping them up to be successful
  • promoting into larger roles
  • creating a positive morale for the team
  • fostering a working relationship between Field Engineering, Sales, and other important internal cross-functional teams
  • working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
  • technical enough to earn the trust of Engineering talent and leadership
  • Demonstrated architectural influence
  • influencing and reviewing complex architectures
  • guiding your team and customers towards ideal solutions

Nice to have

  • advanced knowledge of the technology stack
  • continuously learning

What the JD emphasized

  • Proven experience building and leading technical pre(or post)-sales teams
  • 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).
  • Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.