Top Tech Jobs & Startup Jobs in Toronto

Own the architecture and technical direction of Zynque, a live integration platform for supply chain and logistics. Scale throughput, reliability, and multi-tenant performance while customers onboard; establish observability, SLOs, incident practices, and capacity planning. Harden security, data integrity, and fault tolerance, eliminate scaling risks, mentor engineers, and partner with Product on platform investments. The role requires hands-on coding and ownership of enterprise readiness in a high-ambiguity environment.

Design, build, and deploy production-grade LLM systems (RAG, agents, APIs). Own end-to-end delivery, define evaluation frameworks, and optimize for cost, latency, and reliability while providing technical leadership and cross-team collaboration.

Build and deploy Python-based data ingestion, transformation, reconciliation, imputation, and analytics logic for Workbench. Standardize messy supply chain datasets into product-ready order, inventory, and shipment data. Develop automated workflows, metrics, segmentations, visual prototypes, and reusable code for engineering productionization. Collaborate with industrial engineers, product teams, and software engineers while using AI coding tools responsibly and maintaining ownership of the data logic.

Own end-to-end product design for Workbench, a complex decision-intelligence platform for warehouse and fulfillment systems. Lead user research, UX/UI design, prototyping, information architecture, accessibility, and design-system development. Partner with product, engineering, operations research, senior stakeholders, and clients to simplify data-dense workflows and make trade-offs understandable. Establish design standards, conduct critiques, mentor designers, and drive 0-to-1 design direction in an ambiguous B2B environment.

Leads Blue Yonder WMS discovery, requirements validation, solution design, design assurance, documentation, stakeholder workshops, gap analysis, integrations, governance, and training. Translates warehouse operations into scalable WMS capabilities while coordinating business, technical, integration, testing, product, and operational teams. The consultant also evaluates customizations, supports implementation planning, identifies risks and dependencies, develops role-based training materials, delivers enablement sessions, and mentors delivery-team members.

Lead end-to-end senior and niche searches for WMS/OMS implementations and supply-chain consulting. Source passive candidates, validate technical configuration and delivery depth, diagnose stalled searches using funnel data, advise and push back with hiring leaders, and manage ATS hygiene, scheduling, and vendor coordination. Mentor recruiters and create hiring playbooks.

Lead end-to-end MAWM implementations, collaborating on integration design, managing project timelines, and ensuring efficient execution of warehouse operations.

Lead origination and growth of supply chain advisory and transformation engagements. Generate new-logo and expansion revenue, engage C-suite, shape multi-phase programs (diagnostics, design, transformation), align scope with delivery and margin targets, own commercial proposals and forecasting, and build long-term client partnerships.

Lead design and build of a warehouse simulation engine: translate warehouse operations into simulation models, choose paradigms, benchmark performance, prioritize features, integrate into the product, and hire and lead the simulation team. Use AI tools for execution and collaborate with domain experts and developers to deliver a production-grade simulation vertical.

The SCALE WMS Consultant leads the implementation and configuration of SCALE WMS, collaborating with client teams and ensuring operational efficiency through design, documentation, and support of warehouse management systems.