Top Entry Level Information Technology Jobs in Chicago, IL

As a Technical Support Engineer, you'll assist customers by answering queries, resolving issues, collaborating with engineering, and enhancing support processes while ensuring customer satisfaction.

The Associate, Market Operations at DraftKings ensures market integrity through managing activities, supporting Exchange Members, conducting market surveillance, and collaborating with teams for operational excellence.

The Customer Success Manager will manage client accounts, drive user adoption, act as an advisor, and meet retention KPIs. Responsibilities include relationship building and strategic planning to mitigate churn and promote client success.

The Cloud Technical Support Engineer - Co-op aids enterprise customers with application integration, supports deployment, engages with engineers on service enhancement, and assists in diagnosing issues related to Wasabi's cloud storage.

Protect CrowdStrike intellectual property by detecting and investigating eCommerce fraud. Build and maintain Snowflake data pipelines and SQL queries, develop rules-based risk engines, leverage Python and AI/LLM tools for detection, triage incidents, communicate findings across stakeholders, and refine automated workflows to reduce fraud and onboarding vulnerabilities.

As a Junior Research Enablement Engineer, you will develop tools for the LanguageAI research team, focusing on machine learning tasks. Responsibilities include designing applications, working with data services, conducting research, and enhancing product quality.

The Sales Development Representative will reach out to potential clients, manage contacts, set appointments, and assist the sales team in acquiring new business.

The AI-Native Quality Engineer will establish software validation capabilities using AI and automation. Responsibilities include automation, specification clarity, and exploring AI in quality engineering, requiring strong programming and API experience.

The Product Engineer role involves owning the complete product lifecycle, building features end-to-end across frontend and backend, driving product decisions, and creating scalable systems using modern AI tools. A focus on user experience and speed of delivery is essential.

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