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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
Serve as the senior technical authority for enterprise supply‑chain integrations and agentic AI workflows. Architect and build data pipelines, microservices, APIs, and LLM-powered automation; own POCs to production, define reusable integration standards, support pre-sales, mentor engineers, and drive platform roadmap and customer outcomes across ERP/OMS/WMS/TMS ecosystems.
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
Lead end-to-end delivery of enterprise supply chain visibility implementations, managing program plans, budgets ($150K–$1M+), cross-functional teams, ERP/TMS/WMS integrations, stakeholder communications, risk and change control, go-live and hypercare, and drive adoption and continuous improvement across concurrent implementations.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Lead and manage enterprise SaaS implementations for Global 1000 customers: consult on supply chain workflows, build project roadmaps, coordinate internal and external stakeholders, drive adoption through training and executive alignment, and deliver measurable business outcomes.
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.
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Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
As a Senior Customer Engineer, you manage technical relations, design solutions, deploy AI workflows, mentor peers, and ensure system integration for enterprise clients.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Provide advanced technical support for a B2B SaaS platform: triage inbound requests, troubleshoot using logs, APIs and SQL, engage customers proactively, collaborate with Product and Engineering, and contribute to AI-assisted support workflows and internal knowledge sharing.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Lead and develop a team of Customer Success Managers to drive customer adoption, retention, and expansion. Own account planning, risk mitigation, renewals strategy, executive relationships, playbook execution, and cross-functional collaboration. Monitor customer health, satisfaction, and revenue metrics while scaling team processes and serving as escalation for client issues. Role requires ~25% travel for client site visits.
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.
