Support Engineer (AI)

Location: 100% remote anywhere in the United States

Company

hirify.global provides data integrity software, data enrichment products, and strategic services for global organizations.

What you will do

• Provide technical customer support by phone, email, case management systems, and remote desktop sessions while meeting SLA requirements.
• Diagnose and resolve issues involving data transformation, validation, cleansing, movement, coding-focused products, and data integration workflows.
• Support Spectrum UAM, Data Integrity Suite SaaS services, Code-1, VeriMove, MapInfo, and Finalist, including configuration, job logic, file handling, and execution errors.
• Analyze logs, job outputs, error messages, and customer artifacts to identify root causes and recommend corrective actions.
• Collaborate with Engineering and Product Management on escalations, enhancements, and defect investigations.
• Create knowledge-base documentation, share product expertise, and participate in on-call and after-hours support rotations.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
• 3–6+ years of experience in technical customer support or a related technical role.
• Experience supporting Code-1, VeriMove, Finalist, or similar data-processing and coding-centric products.
• Familiarity with Spectrum UAM, Spectrum-based data integration, batch processing, ETL-style workflows, or data pipelines.
• Experience with SaaS platforms, API-based integrations, and global or follow-the-sun support models.
• Comfort using and critically evaluating generative AI tools in customer support while following data privacy, security, and governance standards.

Nice to have

• Knowledge of z/OS, JCL, and the IBM i platform.

Culture & Benefits

• Work-from-anywhere culture within the United States.
• Distributed environment with a presence in 30 countries and offices across more than five continents.
• Openness, Determination, Individuality, and Collaboration are core values.
• Opportunities for career development, learning, and community building.
• AI-first workflows focused on improving productivity and reducing repetitive operational work.