Senior Director, Engineering (AI)

Location: Chicago, Illinois, United States

Salary: USD 151,800–220,000 per year

Company

hirify.global is a consumer intelligence company providing retail measurement, consumer insights, advanced analytics, and SaaS platforms across more than 100 markets.

What you will do

• Lead the transformation of customer-facing SaaS product engineering toward an AI-first model.
• Define technical direction and guide architecture reviews, system design, modernization, and engineering tradeoff decisions.
• Lead delivery across large-scale distributed systems, cloud-native services, APIs, data-intensive platforms, and integrated user experiences.
• Strengthen production excellence through CI/CD, automated testing, observability, reliability, security, and operational readiness.
• Develop Directors, Senior Managers, Principal Engineers, and other senior technical leaders.
• Align Product, Architecture, Engineering, Business, Security, Data Governance, and Responsible AI stakeholders across globally distributed teams.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 15+ years of progressive technology and software engineering leadership experience.
• Experience leading senior engineering and technical leaders in customer-facing enterprise SaaS, analytics, data-intensive platforms, or comparable commercial software.
• Deep experience with system design, distributed systems, cloud-native architecture, APIs, integrations, performance, reliability, and enterprise architecture.
• Hands-on leadership familiarity with Java, Python, Angular, Azure cloud services, and AI/GenAI technologies.
• Experience leading globally distributed engineering teams in a highly matrixed organization.

Nice to have

• Experience with AI-driven product transformation and measurable customer or commercial impact.
• Knowledge of AI application patterns, orchestration frameworks, model integration, retrieval-augmented generation, agentic workflows, or AI-enabled analytics.
• Background in retail, CPG, consumer measurement, market intelligence, or data-rich enterprise domains.
• Experience improving engineering operating models through metrics, platform thinking, productivity practices, and production excellence.

Culture & Benefits

• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee Assistance Program.
• Inclusive workplace with a commitment to diversity, equity, and inclusion.