Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
8 years of experience in technical sales, solutions consulting, sales engineering, education technology, or a related field.
Experience with SaaS, cloud infrastructure, and web technologies.
Experience technically deploying the Google for Education toolset.
Experience looking after the technical architecture for a university, school group or similar.
Preferred qualifications:
5 years of experience in sales engineering or technical consultancy.
Experience with AI/ML technologies and their application in education.
Experience supporting technology adoption and change-management initiatives.
Deep understanding of Higher Ed/K-12 IT infrastructure and identity management (SSO).
Deep understanding of Google for Education tools.
About the job
The Google for Education Solutions Engineering team is at the forefront of managing technology integration and innovation in schools and universities. We provide the technical expertise to design, architect, and implement Google solutions at scale.
As a Solutions Engineer, you will develop and execute the technical GTM strategy for Google for Education, with a focus on accounts and new technology adoption (e.g., Gemini AI). You will act as a technical trusted advisor to key institutions.
Responsibilities
Identify customer business and academic requirements to design and architect solutions that integrate Gemini into their existing infrastructure.
Act as a technical advocate for Gemini, promoting its capabilities in customer-facing meetings, workshops, and public events.
Work closely with our Product, Engineering, and Sales teams to provide customer feedback, influence the product roadmap, and stay ahead of industry trends.
Prepare and present compelling demonstrations of Gemini, and address technical questions that arise throughout the sales and adoption process.
Take responsibility for technical aspects of solutions to include activities such as bid responses, product and solution briefings, partner training, proof-of-concept work and the coordination of supporting technical resources.
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