The AI-Enabled Product Manager will lead the end-to-end product development lifecycle for custom software, ensuring alignment with client goals and AI integration. They are responsible for managing cross-functional teams, defining product roadmaps, and monitoring performance through established KPIs.
Design and lead the technical track for an AI agent system managing complex transaction workflows for enterprise clients. This includes owning the orchestrator design, tool-use architecture, and secure sandbox environment while leading AI/ML engineers.
The Solutions Architect will define the technical blueprint for a 12-week transformation cycle focused on stabilizing and optimizing a complex North American supply chain relaunch for a major client. This involves designing the secure cloud environment, shaping system architecture across data, modeling, and application layers, and ensuring the decision engine is production-ready.
The Data Engineering Lead will be responsible for building the critical data foundation by extracting and unifying fragmented historical logistics data to power advanced AI simulations. Key duties include leading data ingestion, architecting a canonical data schema, and building robust ETL/ELT pipelines.
