Top Tech Jobs & Startup Jobs in Chicago, IL

The Lead Technical Product Manager drives AI product strategies, manages development teams, and ensures alignment on product goals while prioritizing business value.

The Senior AI/ML Engineer will lead the development of AI systems for complex problem-solving using deep learning and reinforcement learning methodologies in retail contexts.

Lead and independently execute consumer research projects—designing questionnaires/discussion guides, analyzing data, creating deliverables, advocating consumer insights, standardizing research tools, and collaborating with client and pillar leadership to scale research products.

The Lead Software Engineer will design and develop scalable software solutions, mentor other engineers, and guide implementation decisions to deliver maintainable solutions combining technical and business needs.

The Lead Data Engineer will build data platform solutions, manage data ingestion, transformations, and support AI capabilities, collaborating with teams to drive project completion, data governance, and mentoring junior staff.

The Lead Client Success Manager drives growth strategies for a client portfolio, overseeing objectives, engagement, and insights while ensuring commercial execution and collaboration with cross-functional teams.

The Sr. Client Partnership Executive leads client partnership strategies, develops executive relationships, drives revenue growth, and collaborates with teams on digital media solutions.

Lead development of enterprise data platform services, design and deliver scalable APIs and platform capabilities (Python/FastAPI/AKS/Databricks), mentor engineers, drive engineering best practices, CI/CD, testing, and collaborate with product and cross-functional teams to enable AI-ready data systems.

Responsible for developing and implementing optimization models for ecommerce retail operations, writing production-quality code, and collaborating across teams to deliver analytical solutions.

As a Senior Data Engineer, you'll design, build, and maintain data pipelines, ensuring efficient data ingestion and transformation while mentoring junior engineers and collaborating on complex problems.