Job description

As a Customer Engineer in Google Public Sector you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will focus on a range of customer opportunities as a technical generalist, spanning infrastructure modernization, application modernization, data analytics, AI/ML workloads and more. 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: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google . • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. • Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. • Lead prospecting and acquisition of net new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions. • Bachelor's degree or equivalent practical experience. • 10 years of experience with cloud native architecture in a customer-facing or support role. • Experience engaging with, or presenting to, technical stakeholders or executive leaders. • Experience with cloud engineering or containerization platforms. • Experience with GenAI use cases, or deploying custom AI applications. • Ability to travel up to 30% of the time. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 10 years of experience with cloud native architecture in a customer-facing or support role. • Experience engaging with, or presenting to, technical stakeholders or executive leaders. • Experience with cloud engineering or containerization platforms. • Experience with GenAI use cases, or deploying custom AI applications. • Ability to travel up to 30% of the time. Preferred qualifications: • Experience in migrating applications and services to cloud platforms. • Experience architecting innovative solutions and building compelling demonstrations using generative AI technologies, specifically Gemini and autonomous agentic workflows. • Experience prospecting, and building and maintaining customer relationships, with excitement for building out Greenfield territories. • Understanding of enterprise security and complex networking principles to secure AI pipelines, LLM deployments, and distributed architectures. • Ability to rapidly learn and adapt to the fast-paced evolution of emerging AI methodologies and new Google Cloud solutions. • Expertise migrating and modernizing legacy applications to scalable cloud platforms, laying the essential data groundwork for advanced AI/ML workloads.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
Lead prospecting and acquisition of net new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions.
Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Experience with cloud engineering or containerization platforms.
Experience with GenAI use cases, or deploying custom AI applications.
Ability to travel up to 30% of the time.
Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Experience with cloud engineering or containerization platforms.
Experience with GenAI use cases, or deploying custom AI applications.

Nice-to-haves

US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits
Experience in migrating applications and services to cloud platforms.
Experience architecting innovative solutions and building compelling demonstrations using generative AI technologies, specifically Gemini and autonomous agentic workflows.
Experience prospecting, and building and maintaining customer relationships, with excitement for building out Greenfield territories.
Understanding of enterprise security and complex networking principles to secure AI pipelines, LLM deployments, and distributed architectures.
Ability to rapidly learn and adapt to the fast-paced evolution of emerging AI methodologies and new Google Cloud solutions.
Expertise migrating and modernizing legacy applications to scalable cloud platforms, laying the essential data groundwork for advanced AI/ML workloads.

Application prep

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Keywords to mirror

aimlllm

Platform: google
Effort: medium