Top Tech Jobs & Startup Jobs in Chicago, IL

The Principal Machine Learning Engineer will design and scale ML systems for personalization and search, mentor engineers, and lead major ML initiatives at Fetch.

The Staff Product Manager will define and lead AI-driven product experiences at Fetch Labs, focusing on both consumer-facing and internal automation solutions. Responsibilities include managing product strategy, developing personalized AI features, and collaborating across teams to deliver impactful outcomes. This role requires strong product judgment, technical fluency, and the ability to navigate ambiguity while building innovative workflows.

The Staff Product Manager will evolve receipt intelligence systems, drive product strategy, and enhance matching accuracy using machine learning, while collaborating with other teams.

The Senior Data Scientist at Fetch will develop and scale data science capabilities, architect predictive models, and influence product strategy through collaboration and experimentation. They will lead initiatives focused on engagement, churn, and business impact measurement using advanced analytics and machine learning tools.

Lead a team of data scientists to tackle product and business challenges, aligning analytics with business outcomes and driving technical strategy.

The Senior Product Manager will own and evolve the rewards redemption ecosystem focusing on user experience, economic value, and partnering with cross-functional teams to drive product strategy and execution.

The Director of Engineering, Growth will lead multiple teams to drive user retention and engagement by delivering scalable systems and technical guidance while collaborating with product and marketing teams.

As a Principal Software Engineer at Fetch, you'll design scalable systems for user engagement, drive experimentation, lead technical strategy, and mentor teams to improve engineering productivity and system reliability.

As Director of Audience and Measurement, you'll develop Fetch's go-to-market strategy for audience data products, coordinate cross-functional efforts, and define performance metrics while ensuring effective execution and market positioning.