Senior AI Product Manager (CMH Health)

Location: Hybrid role preferred on-site at offices in Chicago, Illinois; Milwaukee, Wisconsin; or Hartford, Connecticut. Remote candidates will be considered. Candidates must be legally authorized to work in the United States without current or future immigration support or sponsorship.

Salary: $131,600–$249,780 annually, with location-based ranges of $151,340–$249,780 in specified jurisdictions and $131,600–$217,200 elsewhere.

Company

hirify.global is an independent firm providing actuarial, risk management, technology, data, and economic consulting, including commercial healthcare software products.

What you will do

• Lead pragmatic architecture and integration across services, APIs, data models, and external systems.
• Translate business and healthcare domain needs into sequenced, testable technical delivery plans.
• Strengthen automated testing, data-quality controls, regression checks, and AI evaluation practices.
• Improve deployment, monitoring, rollback, support, and production-operability practices.
• Guide accountable use of coding agents and other AI-assisted development tools.
• Coach engineers, delegate technical ownership, and connect engineering decisions to client and user outcomes.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least six years of relevant experience in software engineering, data-intensive systems, platform engineering, or related work.
• At least six months of comparable technical direction, delivery ownership, and engineering development responsibilities.
• Strong production-software engineering skills, including code inspection, debugging, implementation improvement, and technical delivery leadership.
• Experience operating cloud-based systems on Azure or a comparable platform, including deployment, identity and access, observability, and reliability.
• Strong knowledge of SQL, data modeling, APIs, cross-system integration, testing, data integrity, security boundaries, and AI-assisted development validation.

Nice to have

• Experience with Azure services, infrastructure as code, CI/CD, or Databricks.
• Healthcare analytics, claims data, actuarial systems, or another regulated data-intensive domain experience.
• Experience with production AI workflows, evaluation datasets, traceability, and human review.
• Experience modernizing established applications and data pipelines without disrupting users.

Culture & Benefits

• AI-assisted engineering culture with senior leaders accountable for client outcomes and commercial results.
• Forward-deployed engineering and product work embedded in real client and consulting workflows.
• Medical, dental, vision, life insurance, disability coverage, and an employee assistance program.
• 401(k) matching and profit-sharing contributions, flexible spending accounts, and a discretionary bonus program.
• Paid time off, at least 10 observed holidays, paid parental leave, and family-building benefits.