Top Tech Jobs & Startup Jobs in Chicago, IL

Lead end-to-end AI product work across Mitratech's shared AI platform and customer experiences. Set strategy and roadmap, convert ambiguous problems into shipped, enterprise-grade features, partner with engineering and design, prioritize based on customer feedback, and represent products to senior stakeholders and customers.

Leads product program operations across a multi-product GRC SaaS portfolio. Establishes operating cadences, planning and reporting rhythms, launch and release readiness, cross-functional dependencies, milestone tracking, prioritization, and decision governance. Connects Product with Product Marketing, Sales, Customer Success, Engineering, Enablement, and Support to ensure coordinated delivery and go-to-market execution. Builds scalable playbooks, tooling, dashboards, and accountability systems while facilitating portfolio trade-offs and maintaining commitment integrity.

Provides technical leadership and architectural oversight for scalable AI-integrated software. Designs agentic AI systems, MCPs, APIs, RAG solutions, microservices, and prompt strategies; decomposes product goals into engineering tasks; reviews human- and AI-generated code; mentors distributed developers; and improves DevOps and CI/CD pipelines with AI-enhanced testing and reviews.

Supports technical escalations by investigating, reproducing, and diagnosing customer issues; communicates with stakeholders; develops and deploys code fixes; performs root-cause analysis; improves documentation and runbooks; and follows secure development practices. The role uses Go and Ruby on Rails, relational databases, SQL, Unix shell scripting, and AI-assisted development tools in a fully remote environment.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.