Sr. Manager, Field Engineering - Digital Native Business

Databricks Databricks · Data AI · CA · Remote · Field Engineering - FE Direct Emerging

Manager of Solutions Architects for Databricks' Digital Native Business, focusing on growing and developing the team, driving platform adoption, and ensuring customer success across data, analytics, and AI workloads. Requires strong leadership, technical expertise in data/AI, and customer-facing experience.

What you'd actually do

  1. Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
  2. Adapt the SA team's skills and engagement model to match the needs of Digital native customers
  3. Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
  4. Travel to customer sites for executive sessions, technical workshops, and building relationships
  5. Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team

Skills

Required

  • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
  • 5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
  • A history of building a territory, growing strategic accounts, and exceeding targets
  • Inspiring a team vision about the unique nature of the digital natives business
  • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
  • Experience owning executive alignment in accounts that guide strategic decisions

Nice to have

  • Stay current with emerging Data and AI trends in the digital native tech sector

What the JD emphasized

  • deeply technical Solutions Architects
  • wide range of data, analytical, and AI workloads
  • technically qualify workloads
  • build proof of concepts
  • customer life-cycle
  • emerging Data and AI trends