Top Tech Jobs & Startup Jobs in Chicago, IL

The Staff Product Manager will define and execute the product vision and strategy for Stacks and project context experiences, collaborating cross-functionally, and helping users navigate complex workflows and systems.

As a Senior Infrastructure Engineer, you'll build scalable systems for a next-generation search platform, ensuring data integrity and user experience while collaborating with cross-functional teams.

Design, implement, and operate large-scale distributed storage systems ensuring data durability, availability, and performance. Build and maintain replication, erasure coding, and lifecycle systems; write high-quality Go/Rust/C++ code; participate in on-call rotations; troubleshoot production incidents; collaborate with networking, hardware, and capacity teams; lead scoped projects and drive infrastructure evolution.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

Design and re-architect the Identity systems at Dropbox to support multi-product capabilities, mentor junior engineers, and ensure software excellence.

As a Group Product Manager, you will lead a team of Product Managers, define product strategy for Dropbox Sign, and collaborate with cross-functional teams to enhance customer experiences with document workflows.

The role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

The Director of People Operations will lead a global team to enhance the employee journey through effective onboarding, compliance, global mobility, and service delivery, driving strategic initiatives and operational excellence.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.