Head of Customer Engineering, Air Force and Navy

Head Of Customer Engineering, Us Air Force And Us Navy

As the Head of Customer Engineering for US Air Force and US Navy, you lead customer engineering teams, deploying a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.

Responsibilities:

• Foster strong partnerships with key customers across the book of business.
• 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.
• Work cross-functionally across Google, our partners, and your team to resolve technical roadblocks including capacity needs, constraints and product issues affecting customer satisfaction.
• Lead a team of Customer Engineers for the US Air Force and US Navy customer base.
• Build a thriving, growth culture. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals for your territory.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• 5 years of experience as a pre-sales, solution architecture or engineering manager in a technical, customer-facing role.
• 5 years of experience supporting, or selling to, Federal Government customers.
• Experience as a sales leader, managing a team.
• Ability to obtain a Top Secret security clearance.

Preferred qualifications:

• Experience managing a team through sales processes, operations and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
• 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.
• Ability to travel up to 50% of the time as needed.

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