Top Tech Jobs & Startup Jobs

The Implementation Engineer manages the launch of 3PL warehouse sites, ensuring project goals, timelines, and overall satisfaction through effective collaboration, training, and risk management.

Senior individual contributor owning complex end-to-end ML problems for supply chain and consumer applications. Build and deploy predictive models (demand forecasting, delivery ETA, recommendations), embed with engineering teams, define MLOps standards, and advise leadership on data science strategy and investments.

Lead technical architect for an innovation lab building and evaluating warehouse automation. Own control systems design, PLC/HMI development, industrial networking, vendor evaluation, systems integration, prototyping, testing, and lab-to-production deployment of robotics and sortation solutions.

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.

The Industrial Engineer designs operational systems for growth and efficiency in warehouse launches, leading initiatives to improve productivity and reduce costs.

Design and scale operational systems for network growth, acquisitions, and new warehouse launches. Lead IE workstreams, develop labor models and engineered standards, drive productivity and cost-reduction initiatives, mentor CI engineers, and quantify network-level impact through data-driven operating models.

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 Implementation Engineer owns operational readiness for warehouse launches, ensuring seamless integration of systems, workflows, and data in live environments.

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.

Lead end-to-end experimentation pipeline for Stord Labs, coordinating robotics, AI, vendors, engineering, and operations to validate and scale logistics innovations into production pilots and enterprise rollouts, develop deployment playbooks, and manage co-funded customer pilots and executive demonstrations.