Top Tech Jobs & Startup Jobs in Chicago, IL

Own quality engineering for Commerce: run structured manual QA, build E2E automation (storefront, checkout, brand portal), wire tests into CI, define Shopify-specific compatibility playbooks, set quality metrics and gates, participate in planning and spec reviews, and lead the teamto shift coverage left.

Lead development of digital twin and simulation models for warehouse operations, deploy AI-driven decision systems, build forecasting and optimization models, validate experiments linking operational metrics to financial impact, and partner with engineers, operations, and external AI/academic partners to scale innovations across fulfillment networks.

The Staff Software Engineer will lead technical initiatives, drive quality code, mentor engineers, and work on scalable systems in a high-impact team environment.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Lead and build a new Embodied AI data business: win initial customers, define data products, stand up warehouse capture operations, build data pipelines and quality processes, hire and lead a senior team, and own the P&L.

Lead full sales lifecycle to enterprise customers across the US: prospect, demo Stord platform, build strategic relationships, manage CRM pipeline, forecast revenue, and close new business while maintaining customer satisfaction.

Lead and scale a multi-team engineering organization owning Billing, TMS, WMS, and LMS. Manage five engineering managers and a Principal Engineer, drive billing automation, deliver a standalone TMS/Parcel system, improve network LMS efficiency, and ensure WMS reliability and international scalability. Build cross-functional partnerships with Finance and Parcel, make organizational design decisions, coach managers, and prioritize technical investments to deliver measurable cost and revenue outcomes.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.

Prepare complex fulfillment and parcel invoices, analyze large datasets using Excel, collaborate with Sales/Operations/Implementations, resolve billing disputes, document processes, produce KPI reporting, and support audits to ensure accurate, timely revenue recognition.