Engineering manager

*About symplistic.ai* symplistic.ai is a fast-growing AI company with offices in Florida and Toronto. We specialize in Agentic AI solutions, enterprise consulting, and AI innovation, helping organizations design, build, and deploy intelligent systems that solve real-world business challenges. Our team works with major enterprise organizations to deliver production AI solutions across industries including financial services, retail, hospitality, manufacturing, healthcare, government, and more. We operate as a high-velocity startup where ownership, execution, and accountability matter. Our team works closely together, moves quickly, and takes ideas from concept through production. *About Symplistic.ContentIQ.* Symplistic.ContentIQ is symplistic.ai's enterprise AI knowledge and retrieval platform.ContentIQ connects enterprise information across websites, documents, SharePoint, OneDrive, internal systems, and other data sources to provide AI agents with secure, governed access to organizational knowledge. The platform combines enterprise search, Retrieval-Augmented Generation (RAG), AI-powered document processing, data governance, permissions, integrations, and observability to enable accurate, grounded AI experiences at scale. ContentIQ is designed to serve as the enterprise knowledge layer behind AI agents and platforms such as IBM watsonx Orchestrate, enabling organizations to securely connect their existing information to intelligent workflows and conversational experiences. *Role Overview* We are looking for an Engineering Manager to lead the continued development and delivery of ContentIQ. This is a technical leadership role for someone who can lead engineers while remaining deeply involved in architecture, product decisions, problem solving, and execution. You will also be responsible for assisting in customer deployments and managing issues that may arise with customers. You will work directly with symplistic.ai's VP of Engineering and leadership team to help define the technical direction of ContentIQ, manage engineering priorities, support enterprise deployments, and ensure the platform continues to scale in performance, reliability, security, and capability.This is not a traditional management-only position. We are looking for someone who understands the technology, can challenge technical decisions, jump into difficult engineering problems when necessary, and help a small, high-performing team move quickly. *Key Responsibilities* * Lead the engineering team responsible for the development, delivery, and operation of ContentIQ * Work with the VP of Engineering to define technical architecture, engineering priorities, and the ContentIQ product roadmap * Translate business and customer requirements into clear technical plans and engineering deliverables * Own sprint planning, engineering execution, prioritization, and delivery timelines * Provide technical leadership and mentorship to software and AI engineers * Review architecture, code, pull requests, and major technical design decisions * Help design and improve enterprise RAG, search, document intelligence, ingestion, retrieval, and AI agent capabilities * Drive platform improvements across scalability, latency, reliability, security, and observability * Support ContentIQ integrations with IBM watsonx and watsonx Orchestrate * Establish strong engineering practices around testing, deployment, monitoring, documentation, and production readiness * Troubleshoot complex production and customer issues and help the team quickly identify root causes * Work directly with enterprise customers when technical discovery, architecture discussions, or implementation support is required * Take ownership of features and initiatives from concept through production deployment *Qualifications* *Required* * Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related technical field * 5+ years of professional software engineering experience * Prev