Top Tech Jobs & Startup Jobs

Lead end-to-end WMS implementation, configuration, integration, testing, troubleshooting, and post-go-live support. Configure inbound, outbound, inventory, returns, picking, and shipping modules; develop custom logic; test APIs; and optimize SQL queries and stored procedures. Partner with clients through requirements gathering, SIT, UAT, go-live, and continuous improvement initiatives. Produce technical documentation, participate in Agile ceremonies, resolve production issues, and mentor junior team members while supporting projects requiring up to 50% travel.

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.

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 WMS-to-robotics and WCS integration projects for warehouse automation clients. Responsibilities include requirements analysis, WMS configuration, SQL and stored-procedure troubleshooting, MHE message diagnosis, solution design, go-live support, incident leadership, documentation, client communication, and mentoring. The role bridges warehouse operations, IT, developers, and international robotics vendors, with frequent travel and onsite troubleshooting during implementation and go-live phases.

Implements, configures, and supports warehouse management systems for clients. Responsibilities include gathering requirements, configuring inbound, outbound, inventory, returns, picking, and shipping modules, testing APIs and integrations, optimizing SQL and stored procedures, troubleshooting across application and database layers, and supporting SIT, UAT, go-live, and post-go-live activities. The consultant also creates technical documentation, participates in Agile ceremonies, and travels up to 50% based on customer needs.

Support WMS-to-robotics and WCS integrations for client warehouse operations. Configure WMS modules, analyze functional and integration requirements, troubleshoot MHE messaging, and write SQL queries and stored procedures. Provide SIT, UAT, go-live, and post-go-live support, investigate root causes, communicate MVP scope, coordinate with development and robotics vendor teams, and maintain technical documentation. The role requires substantial client engagement and 50–75% travel, including occasional weekend go-live support.

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

The MAWM Implementation Manager leads end-to-end implementations of the Manhattan Active WMS, ensuring alignment across systems and processes while managing stakeholder relationships and project timelines.

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.