Top Tech Jobs & Startup Jobs in Chicago, IL

Manage a book of mid-market customers to drive onboarding, adoption, retention, and renewals. Triage inbound requests, lead cross-functional resolutions, monitor health metrics, identify expansion and churn risks, and mentor other CSMs. Maintain accurate data and advocate customer needs to Product and Operations.

Lead end-to-end global demand planning and forecasting across channels and regions. Develop 18-month SKU-level forecasts, drive S&OP alignment, analyze forecast accuracy (MAPE, bias), identify risks/opportunities, collaborate with Sales, Marketing, Supply, and Finance, and improve systems and processes.

Lead strategy and P&L for The Honest Company's Amazon 1P business. Drive annual operating plans, JBPs, pricing, promotions, retail media, forecasting, and cross-functional execution. Own vendor relationships, trade negotiations, analytics, and promotional execution to grow profitable sales, market share, and brand presence on Amazon.

Lead and execute client EMR and data migrations from kickoff to go-live. Own migration plans, QA data accuracy, coordinate cross-functional teams, manage timelines and risks, and drive scalable migration processes while communicating directly with clients.

The Director of Business Development will drive revenue through strategic sales focused on Shopify Plus, building client relationships, and providing ecommerce expertise.

The Enterprise BDR role involves generating leads, refining outbound strategies, collaborating with the Commercial team, and managing prospecting activities, events, and messaging.

As a Technical Consultant in Data & Analytics, you'll lead process improvements and technical delivery, guiding clients in optimizing Salesforce solutions and data governance.

Provide hands-on pre-clinical, simulated-use, and clinical support for CellFX devices: train and support physicians/staff, deploy and validate devices, contribute clinical insights to product development, and support regulatory and root-cause activities.

The Sales Engineer will develop sales strategies, conduct demos, support technical queries, and bridge communication between sales and product teams.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.