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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
Build and productionize AI agents for customer support, voice interactions, and carrier onboarding. Develop primarily backend applications in Python and Java or Go, design databases and APIs, integrate frontend components, troubleshoot production workflows, conduct code reviews, and deploy services with Kubernetes. Collaborate with product, engineering, DevOps, US teams, and customers to deliver supply chain platform capabilities.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Supports Sales, Customer Success, and Implementation teams by scoping complex SaaS services opportunities, assessing implementation risks, gathering requirements, designing business processes, and finalizing statements of work. Leads prospect workshops, reviews ROM estimates, manages scope and commercial terms, supports RFPs, develops implementation collateral, trains Sales teams, and ensures smooth handoffs into implementation for enterprise supply chain customers.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Lead enterprise SaaS implementations for Global 1000 supply‑chain customers. Serve as trusted advisor and project manager, develop roadmaps, coordinate internal and external stakeholders, run trainings and executive reviews, ensure adoption, and drive continuous improvement across implementation programs.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Own and scale B2B demand generation programs that convert target accounts into qualified pipeline. Manage Google Ads, LinkedIn Ads, nurture campaigns, content syndication, webinars, paid placements, and campaign planning. Develop integrated marketing strategies, optimize budgets and targeting, draft campaign content, monitor pipeline and ROI, and collaborate with sales, marketing operations, agencies, and corporate marketing leadership. The role requires independently executing campaigns while improving reporting, processes, and messaging.
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
Sell supply chain and logistics SaaS solutions to Fortune 1000 customers, managing 15–25 strategic accounts. Responsibilities include exceeding quota, acquiring new business, expanding existing accounts, developing account strategies, mapping stakeholders, coordinating cross-functional go-to-market efforts, communicating value, managing pricing strategies, collaborating with customer success teams, and maintaining accurate Salesforce records.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Own product outcomes for OTR & Core Visibility: track adoption KPIs, analyze usage with SQL and analytics tools, engage customers for discovery and onboarding, prioritize backlog, collaborate with engineering/design/data science, and ship features that improve adoption, retention, and customer experience.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Own day-to-day product execution for an Inventory & Orders module: write detailed specs and acceptance criteria, synthesize customer discovery into prioritized backlogs, define integration/data requirements, partner with engineering, solutions, and customer success to ship and roll out features enabling proactive supply chain decision-making.
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.
