
201 - 500 employees
Founded 2010
🏢 Enterprise
☁️ SaaS
Enterprise • AI • SaaS
Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.
🕒 May 4
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201 - 500 employees
Founded 2010
🏢 Enterprise
☁️ SaaS
Enterprise • AI • SaaS
Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.
• Work directly with enterprise customers to understand business workflows, data environments, and risk challenges • Design scalable AI-driven solutions aligned to customer objectives and platform capabilities • Lead implementation of data integrations (DFI/CDIF), workflows, and AI use cases • Configure and deploy solutions in customer environments with speed and accuracy • Own time-to-value from onboarding through initial outcomes • Build and deliver Proof of Concepts and MVPs that demonstrate measurable business impact • Serve as a technical expert across customers and internal teams • Train internal teams and customers on platform capabilities, best practices, and solution design • Partner with Product and Engineering to relay customer feedback and influence roadmap • Work closely with Implementation, Sales, and Customer teams to ensure successful adoption
• 4–8 years of experience in solutions engineering, forward deployment, or enterprise architecture • Strong hands-on experience with: • Data integration (APIs, ETL pipelines, SQL) • Cloud platforms (Azure preferred) • Working with large, messy enterprise datasets • Exposure to AI/ML concepts (practical application preferred over theory) • Ability to work directly with global enterprise customers in a consulting capacity • Strong problem-solving skills with a bias toward execution • Excellent communication skills with the ability to engage both technical and business stakeholders.
• Full-stack benefits for health, wealth and wellbeing
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