Top Tech Jobs & Startup Jobs in Chicago, IL

The Customer Success Manager will lead onboarding, maintain relationships, analyze data, facilitate renewals, and gather customer feedback while managing complex district implementations.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

As a Senior Site Reliability Engineer, you will design, develop, and maintain reliable infrastructure for Wikimedia's API services, ensuring performance and availability while driving reliability engineering practices and improving developer experience.

The Financial Analyst will design and maintain incentive pay models, ensure data accuracy, handle compensation reviews, and respond to compensation-related inquiries, while collaborating with various teams.

Happiness Engineers at Automattic provide customer support through email and live chat, advocate for customers, and help improve the customer experience. They are self-starters with customer service experience and WordPress knowledge, contributing to operational efficiencies and new initiatives.

The Senior Account Executive will drive growth and close high-value enterprise deals, manage sales cycles, and build partnerships to enhance revenue.

The Data Science Intern will collect and preprocess data, build machine learning models, and assist in deploying models while collaborating with team members.

As a Solutions Architect, you will lead integrations between Brightflag and customer systems, translating requirements into integration designs, managing projects, and driving best practices for integration workstreams.

The Senior Data Analyst transforms data into insights to guide business decisions, conducts analyses, and improves data collection systems.

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.