Top Tech Jobs & Startup Jobs in Chicago, IL

As a Senior Client Success Manager, you will manage client relationships, drive media and incentive activation strategies, and ensure successful campaign execution and optimization.

The Director of Software Engineering leads the Agentic Foundations team, focusing on AI-driven platforms, managing engineering teams, and ensuring high reliability in AI solutions for the Kroger enterprise.

Lead the design and development of AI and agentic platforms, ensuring scalable solutions and mentoring engineers while delivering enterprise-level capabilities.

The Senior Pricing and Promotion Consultant drives price/promo science strategies for Kroger, collaborating with stakeholders, enhancing products, and supporting adoption of pricing solutions.

The Senior Product Manager will oversee AI platform initiatives, translating visions into clear roadmaps while ensuring alignment with market trends and user needs. Responsibilities include managing delivery, metrics, collaboration with various teams, and ensuring successful rollout and adoption of AI tools.

Manage client accounts and campaign execution while developing strong relationships with clients. Ensure successful campaign delivery and reporting, working cross-functionally and supporting client needs.

Own revenue growth and retention across enterprise and agency portfolios by driving new business, upsell/cross-sell, and client success. Lead and develop a client-facing team, orchestrate cross-functional execution, influence product, manage forecasting/operations, and represent the company in industry thought leadership.

Lead development and delivery of ML, optimization, and simulation solutions for supply chain and retail operations. Manage projects from discovery to production, build MLOps pipelines, collaborate with engineering and product teams, and drive automation, documentation, and near real-time model delivery to generate actionable business recommendations.

The Manager of Strategic Partnerships will lead 1-3 strategic partnerships, collaborating with business partners and cross-functional teams to maximize partnership value and drive growth.

The Senior ML Data Engineer will build and maintain data infrastructure for machine learning models, ensuring scalability and reliability while managing feature engineering and data operations.