Top Tech Jobs & Startup Jobs in Chicago, IL

The Machine Learning Engineer will develop and maintain scalable ML systems, collaborate across teams, and innovate solutions for real-time applications to enhance customer experiences.

Design, build, test, and maintain scalable software systems. Collaborate with cross-functional teams, participate in code reviews, write tests and documentation, troubleshoot production issues, and contribute to product and architecture decisions.

The role involves designing, building, and optimizing a data platform, collaborating with cross-functional teams, and ensuring data quality and security.

As a Fullstack Software Engineer, you'll design, build and own the onboarding experience for Twilio's Stytch identity product, creating secure integration solutions for developers and enhancing customer authentication.

Lead technical response to security incidents across Twilio's global cloud infrastructure. Triage, contain, remediate, document incidents, drive post-incident improvements, automate workflows (SOAR), extend SIEM capabilities, participate in on-call rotation, mentor teammates, and collaborate with R&D to improve detection and threat mitigation.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Senior Software Engineer at Twilio will design, build, and maintain scalable communication systems, collaborate with cross-functional teams, mentor engineers, and contribute to architecture and delivery. Responsibilities include writing high-quality code, improving performance and reliability, shipping product features, and participating in technical planning within a remote-first, inclusive environment.

Designated Technical Account Manager providing technical support to strategic customers, troubleshooting complex API, server-side and network issues, collaborating with product and engineering, driving improvements from customer feedback, and managing dedicated customer accounts while supporting US hours.

Own vision, strategy, and roadmap for GTM data products and platforms. Translate business needs into data product requirements, prioritize initiatives, ensure governance and data quality, enable self-service access, track success metrics, drive adoption, training, and cross-functional collaboration to power analytics and decision-making.

Design, build, and maintain GTM data models, automated data quality checks, and BI-as-code pipelines. Deliver sales and executive analytics, visualizations, and partner with cross-functional teams to ensure trusted metrics and drive continuous improvement toward AI-ready reporting.