Head of Customer Engineering, Sled Midwest, Public Sector

Google Google · Big Tech · Chicago, IL +1

Head of Customer Engineering for Google Cloud's Public Sector (SLED Midwest) team. This role leads a Customer Engineering team and their managers, focusing on providing trusted technical and solution advice to accelerate workload migration and remove technical impediments for government and education customers. The role involves talent strategy, fostering partnerships, defining go-to-market strategies, and balancing technical leadership with operational excellence.

What you'd actually do

  1. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals.
  2. Foster partnerships with key customers across the book of business and provide leadership related to cloud, transformation, and relevant industry trends.
  3. Partner with Google Cloud sales leadership to define technical go-to-market strategies and execution plans for the team's book of business.
  4. Balance technical leadership with operational excellence, lead workload and opportunity review meetings, and provide insight into how to achieve a technical agreement and migration strategy while working directly with our customers, partners, and prospects.
  5. Work cross-functionally across Google, our partners, and the team to resolve technical roadblocks, including capacity needs, constraints, and product issues affecting customer satisfaction.

Skills

Required

  • cloud architecture
  • team management
  • management of managers
  • sales processes
  • career development
  • account mapping
  • quota setting
  • performance management
  • managing sensitive information

Nice to have

  • state, county, local municipal agencies, and academic institutions support/sales
  • generative AI products experience
  • product and solution life-cycles
  • building tools
  • architecting and developing deployments
  • data platforms
  • ML platforms
  • AI infrastructure
  • generative AI
  • presenting to technical stakeholders and executive leaders
  • delivering messages to audiences
  • asking tactical questions
  • leading business opportunities