
Director of AI, Operations
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in Alabama, +36 more states.
β’ Create, develop, and implement AI agents and AI-driven tools that address real operational challenges within S&OP, Member Care, Quality, Procurement, Logistics, and Customs.
β’ Build enterprise-ready applications designed for global deployment, adhering to IT and Data Engineering standards from the outset.
β’ Collaborate with IT and Data Engineering teams to seamlessly integrate solutions into existing enterprise systems, including ERP and CRM platforms.
β’ Review current workflows across all Operations functions to pinpoint the highest-value opportunities for AI and intelligent automation.
β’ Assess the AI tool landscape and provide a clear, defensible perspective on what iFIT should develop, acquire, or disregard.
β’ Manage a network of AI subject matter experts embedded within Operations functions, serving as their mentor, escalation point, and network connector.
β’ Enhance the AI expertise of the entire Operations leadership team through practical enablement, rather than just training presentations.
β’ Foster a culture of AI curiosity and practical experimentation throughout Operations, ensuring that this initiative persists beyond any individual project.
β’ Act as the internal AI expert for Operations, representing the function in cross-company discussions regarding AI strategy.
β’ Document processes before and after implementation to ensure that every improvement is measurable and justifiable to the COO and executive team.
β’ Simplify complex technical solutions into straightforward language that operations leaders and frontline managers can act upon.
β’ Develop a continuous AI roadmap for Operations that provides leadership with insight into ongoing projects, upcoming initiatives, and completed implementations.
β’ A degree or equivalent experience in Computer Science, Engineering, Operations, Supply Chain, or a related discipline.
β’ Practical experience in building with LLMs, AI agents, multi-agent frameworks, or production-level AI systems.
β’ Understanding of API integrations and the capability to connect enterprise systems that were not originally designed to collaborate.
β’ Experience in or related to a startup environment where rapid delivery and accountability for outcomes were the norms.
β’ Proven history of collaborating across functions and gaining trust from business leaders who may be skeptical about technology for its own sake.
β’ Experience in managing dotted-line teams, cross-functional working groups, or distributed networks of SMEs.
β’ Proven ability to elevate the technical skills of non-technical stakeholders through enablement, rather than mere presentations.
β’ Competitive salary and comprehensive benefits package.
β’ Opportunities for professional growth and development within a dynamic team.
β’ Flexible work arrangements to promote work-life balance.
β’ Access to cutting-edge technology and tools in the field of AI.
β’ Collaborative and inclusive company culture that values diverse perspectives.
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