AI Success Engineer (Education)

TL;DR

AI Success Engineer (Education): Leading the technical relationship and driving adoption for education institutions, ensuring technical readiness, identifying high-impact use cases, and delivering measurable value. Focus on translating technical concepts into business language, leading multi-workstream initiatives, and guiding value realization through institutional outcomes.

Location: Hybrid in Paris or Munich, France/Germany, with relocation assistance available.

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.
• Conduct technical enablement and configuration sessions across hirify.global's broad product portfolio.
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.
• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback and technical blockers.
• Guide value realization through student, faculty, and institutional outcomes, supported by baselines and reporting.

Requirements

• 8+ years of experience in technical customer-facing roles such as technical account management, GenAI consulting, or solutions architecture.
• Deep, hands-on knowledge of hirify.global product capabilities, APIs, SDKs, connectors, and common integration patterns.
• Ability to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and fine-tuning.
• Proficiency in translating technical concepts into clear business language and understanding strategic impact of AI technologies.
• Excellent project and program management instincts to lead multi-workstream initiatives.
• English proficiency at B2 level or higher.
• Must be based in Paris or Munich and adhere to a hybrid work model of 3 days in office per week.

Nice to have

• Experience working with education institutions.

Culture & Benefits

• Work with a team dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
• Shape how AI changes work, productivity, and innovation.
• Hybrid work model of 3 days in the office per week.
• Relocation assistance offered to new employees.
• Committed to diversity and providing reasonable accommodations.