Top Tech Jobs & Startup Jobs in Chicago, IL

The Junior Recreation Management Analyst supports data analysis, planning, and project coordination for National Park Service projects. Key responsibilities include data collection, trend analysis, report preparation, and interdisciplinary team support.

The Head of Product Marketing will optimize the entire web and in-app funnel, conduct A/B tests, write copy, and analyze user data for improving conversions in a high-growth mobile app environment.

The role involves providing telephonic interpretation services in English and Uyghur across various settings, ensuring confidentiality and superior customer service.

Design and implement avatar movement, sandbox systems, customization and progression, and 3C (Character, Camera, Controls). Prototype and iterate with cross-disciplinary teams, integrate audio/animation/effects, create NPCs, and own social/cooperative gameplay systems to foster player expression and community.

Design and model mechanical systems for data centers, manage project phases, lead BIM coordination, and ensure compliance with standards. Requires PE license and frequent travel.

The Technical Recruiter will manage technical searches across software, data, AI, and cloud roles, collaborating with hiring managers and ensuring detailed candidate assessment and feedback.

The Founding Account Executive will shape the outbound sales strategy, manage the sales cycle, collaborate with founders, and refine the sales process to drive growth at Blaze, an AI marketing platform.

The Senior Full Stack Engineer will design and maintain features across backend and frontend systems, focusing on scalability and security while collaborating on production-grade solutions in a fast-paced environment.

This position allows candidates to express interest in working with Wade Trim, addressing unlisted openings and encouraging innovative contributions to the company culture and projects.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.