Top Tech Jobs & Startup Jobs in Chicago, IL

Lead the buildout of a new enterprise data platform, designing infrastructure, pipelines, and storage while ensuring data governance and quality.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

Responsible for closing complex SaaS deals with Fortune 1000 companies, managing the sales cycle, and strategizing territory plans to influence C-level stakeholders.

The Senior Advisor leads client programs focused on resilience, advising on best practices and guiding large-scale implementations. Responsibilities include project leadership, client relationship management, and mentoring junior team members.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The role involves leading global partnerships, driving sales growth, managing joint business plans, and maintaining executive relationships with Big 4 consulting firms.

The Senior Director of Product Operations will lead the Product Ops function, focusing on analytics, execution, cross-functional alignment, and building effective processes in a high-growth environment.

The Senior Implementation Consultant supports the delivery of cloud software projects, leading technical tasks, and enhancing client experiences with Salesforce and AI tools.