Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead a Customer Engineering team for two clusters within SLED Central and build a growth culture, focusing on talent strategy and development to deliver cloud transformation outcomes for our customers and accelerate business goals for your territory.
- Foster partnerships with key customers across the book of business and provide leadership related to cloud transformation and relevant industry trends.
- Partner with Google Cloud Sales leadership to define technical go-to-market strategies and execution plan for the team's book of business.
- 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, working directly with our customers, partners, and prospects.
- Work cross-functionally across Google and our partners to resolve technical roadblocks including capacity needs, constraints and product challenges affecting customer satisfaction.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud architecture in a customer-facing role.
- 3 years of experience managing a team through sales processes, operations and career development, including account mapping, quota setting, performance management, and managing sensitive information.
- Ability to travel up to 50% of the time, as required.
Preferred qualifications:
- 5 years of experience supporting or selling to state, county, local municipal agencies, and academic institutions.
- 2 years of experience using generative AI products.
- Experience with product and solution life-cycles, building tools, architecting and developing for scalable deployments, including data platforms, ML platforms, AI infrastructure and generative AI to support customer missions.
- Experience presenting to technical stakeholders and executive leaders, including delivering messages to audiences, asking tactical questions, and driving business opportunities.