Scaled AI Success Engineer (AI)

TL;DR

Scaled AI Success Engineer (AI): Supporting the post-sales success of a broad customer portfolio through proactive monitoring, programmatic engagement, and technical intervention with an accent on driving enterprise adoption and ensuring high-quality technical outcomes. Focus on identifying adoption risks, coordinating cross-functional resources, and executing repeatable programs to improve customer activation at scale.

Location: Dublin, Ireland

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

• Monitor account health and adoption data to identify expansion or risk signals across a large portfolio.
• Execute proactive outreach and technical interventions to resolve configuration or adoption issues.
• Coordinate pooled resources across technical and operational teams to deliver timely support.
• Perform instance administration and first-line technical triage including configuration and error handling.
• Synthesize customer feedback and adoption trends to provide insights for product and engineering teams.
• Design and operationalize repeatable programs to drive activation and engagement at scale.

Requirements

• 6 years of experience in technical customer-facing roles like technical support, solutions engineering, or technical account management.
• Hands-on experience working with APIs, developer tools, or SaaS platforms in enterprise environments.
• Experience managing large customer portfolios simultaneously.
• Strong troubleshooting skills for technical configurations and setup workflows.
• Ability to balance structured program execution with real-time customer problem-solving.
• Clear communication skills for both technical and non-technical stakeholders.

Culture & Benefits

• Work at the cutting edge of AI deployment with high-impact global organizations.
• Engage in a fast-paced environment with significant operational ownership and context switching.
• Collaborate with cross-functional teams including education, engineering, and sales.
• Support an mission-driven organization focused on safe and beneficial AI.