Customer Engineer, SLED, Educational Institution

About the role

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.

Responsibilities

• Collaborate with the Sales team to uncover and qualify Google Cloud and AI-first opportunities, address technical objections around adoption, and develop strategic pathways to clear technical blockers.
• Own the technical relationship with stakeholders at Educational Institutions, leading product briefings on Google Cloud and Google's GenAI portfolio, managing innovative, agentic proof-of-concept (PoC) work, and orchestrating specialized technical resources across Google Public Sector.
• Demonstrate and prototype intelligent integrations, bringing autonomous agents and AI-powered workflows to life directly within complex 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.
• Sit onsite 2-3 days a week and travel to industry conferences and related events as required to engage directly with educational leaders.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
• Experience working as a Technical Sales Engineer in a cloud computing environment, or equivalent experience in a customer or partner-facing role.
• Experience migrating legacy applications to cloud platforms, and establishing data structures for machine learning workloads.

Preferred qualifications

• Experience partnering with Higher Education customers, specifically R1 and R2 institutions, to guide digital transformation and AI-readiness.
• Experience architecting innovative solutions and building compelling demonstrations using generative AI technologies, specifically Gemini and independent agentic workflows.
• Understanding of enterprise security and complex networking principles to secure AI pipelines, LLM deployments, and distributed architectures.
• Agility to learn and adapt to the fast-paced evolution of emerging AI methodologies and new Google Cloud solutions.

Benefits

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