About the role

What will you do at Google?

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 and presenting to technical stakeholders and

executive leaders.

* Experience with cloud infrastructure engineering, on-premise environments,

virtualization, or containerization platforms.

* Ability to travel up to 30% of the time to university campuses, industry

conferences, and related events as required to advocate Google Public

Sector's goals and engage directly with educational leaders.

PREFERRED QUALIFICATIONS:

* Experience partnering with Higher Education customers, specifically R1 and R2

institutions, to drive digital transformation and AI-readiness.

* Experience architecting innovative solutions and building compelling

demonstrations using generative AI technologies, specifically Gemini and

autonomous agentic workflows.

* Expertise migrating and modernizing legacy applications to scalable cloud

platforms, laying the essential data groundwork for advanced AI/ML workloads.

* Understanding of enterprise security and complex networking principles as

needed to secure AI pipelines, LLM deployments, and distributed

architectures.

* Proven agility to rapidly learn and adapt to the changing evolution of

emerging AI methodologies and new Google Cloud solutions.

ABOUT THE JOB:

As a Customer Engineer, you will partner with technical Sales teams to

differentiate Google Cloud and our unique Google Public Sector offerings for our

R1 and R2 higher education customers in California. You will empower

universities and colleges to harness the full potential of the Google ecosystem

by designing creative, agentic AI solutions that solve complex institutional

issues.

Moving beyond traditional data lifecycles, you will lead proofs of concept and

guide technical strategy to build proactive, autonomous AI agents and

intelligent data ecosystems that transform the student, researcher, and

administrative experience. Leveraging your technical expertise and compelling

presentation skills, you will engage with educational leaders to translate their

academic requirements into visionary, highly automated, and practical

architectures tailored for the public sector.

Bringing excellent technical, communication, and organizational skills, you will

join a team of fellow Googlers dedicated to mutual respect and equal

opportunities for success.

Google Public Sector

[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Collaborate with the Sales team to uncover and qualify Google Cloud and

AI-first opportunities, proactively addressing technical objections around

adoption, and developing pathways to clear technical blockers.

* Lead the technical relationship with our premier Higher Education customers

in California, leading immersive product briefings on Google Cloud and

Google's GenAI portfolio, driving innovative, agentic proof-of-concept (PoC)

work, and orchestrating specialized technical resources across Google Public

Sector.

* Demonstrate and rapidly prototype intelligent integrations, bringing

autonomous agents and AI-powered workflows to life directly within complex

customer and partner environments.

* Design and recommend AI-optimized enterprise architectures and integration

strategies, laying the secure platform and data infrastructure foundations

required to successfully deploy comprehensive, forward-looking solutions

using Google Cloud best practices.

Which skills does this role require?

Cloud-native architectureCloud infrastructure engineeringVirtualizationContainerizationData migrationApplication modernizationTechnical presentationStakeholder managementStrategic planningProof of conceptCloud-nativeAutonomous agentsLegacy application modernizationDistributed architecturesR1 institutionsR2 institutionsCloud infrastructureSales engineeringCustomer-facingArchitecture designAutomationTechnical blockersProduct briefingsGCPMachine LearningLLMsPrototyping

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