Jobs at QAD

Leads the design, deployment, governance, monitoring, and lifecycle management of finance AI agents. Builds semantic data layers using BigQuery, dbt, and Fivetran; defines agent architecture, controls, escalation thresholds, auditability, and performance KPIs. Reengineers finance processes for agent-assisted workflows, manages AI risk and internal controls, and trains finance teams on adoption, usage, limitations, and change management.

Manage end-to-end implementation and deployment of Redzone software across multiple manufacturing clients. Lead customer onboarding for 6-12 week journeys, coordinate onsite success plans and coaching, ensure automation signals and Visual Factory infrastructure are installed and tested, manage risks and schedules, run weekly status calls, maintain project templates/training materials, and support configuration, expansion, and automation requests to achieve successful go-lives.

The Progress Developer II will analyze and resolve application issues, develop and enhance applications primarily using Progress OpenEdge ABL and Java, and participate in the full software development lifecycle while ensuring high-quality code and collaboration with cross-functional teams.

Owns QAD Support’s AI roadmap and governance while coordinating cross-functional initiatives from opportunity identification through implementation, adoption, and optimization. The role manages milestones, dependencies, risks, stakeholders, vendors, success criteria, and measurable business outcomes. It also drives AI enablement, training, communications, continuous improvement, and compliance with security, privacy, legal, and data governance requirements. This is an individual contributor position requiring strong program management and practical AI knowledge, without hands-on AI development.

Own the enterprise-wide architectural vision for a cloud-native, AI-enabled SaaS platform. Define multi-year technical roadmaps, govern frontend, backend, microservices, APIs, and cloud standards, conduct design reviews, resolve performance issues, write reference code, and architect agentic AI integrations. Partner with product and engineering leadership while mentoring senior and principal engineers across teams.

Provides advanced technical and ERP support for QAD and Progress products, including installations, upgrades, configurations, database administration, optimization, backups, and troubleshooting. Handles complex escalated customer cases, documents solutions, develops training content, and collaborates with R&D, Product Management, and global support teams. Requires participation in rotating shifts, weekend coverage, and potential on-call support.