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Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Own the Over-the-Road visibility product portfolio across truckload, LTL, parcel, and last mile. Analyze adoption, engagement, retention, tracking quality, and ETA accuracy using SQL and product analytics tools. Conduct customer discovery, prioritize roadmaps, build AI-assisted prototypes, and partner with engineering, design, customer success, sales, and marketing to ship measurable product improvements.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Serve as the first point of contact for customers, partners, and consultants. Research, troubleshoot, replicate, and test product issues; track incidents and provide resolution updates. Collaborate with Development, QA, and Consulting Services, occasionally support AI-related initiatives, and participate in a weekend rotation for 24/7 emergencies.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Manage enterprise customer relationships to drive product adoption, usage, retention, satisfaction, and expansion. Serve as a strategic advisor, establish customer goals and KPIs, conduct executive business reviews, identify upsell opportunities, manage escalations, and advocate for customer needs internally. The role also includes customer training, cross-functional collaboration, and occasional travel for customer engagements.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
The Product Manager will oversee the Inventory & Orders module, handling product specifications, customer feedback, and integration requirements, while collaborating with cross-functional teams.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Build, deploy, monitor, and retrain machine learning models for ETA forecasting, status extraction, and logistics automation. Develop regression, classification, time-series, NLP, and LLM-based solutions using noisy supply chain data. Own production ML pipelines, diagnose offline-to-live performance gaps, and measure business impact. Collaborate with product, engineering, and operations teams while mentoring data scientists and making architecture and build-versus-buy decisions.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Build and maintain Java backend services and end-to-end features (backend and frontend). Design data models and DB schemas, integrate with frontend, perform code reviews, troubleshoot, deploy with DevOps, and collaborate with US teams and partners to expand the supply-chain platform.
