Warehouse AI Orchestration Lead
Loadsmart- Chicago / Remote
- Hybrid
- Full time
- $120K–$155K/yr
- Posted 1h ago
Job description
WHAT YOU GET TO DO:
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Map the seams. Document the cross-system workflows from dock to stock and from order to ship. Show where each event, object and decision lives across WMS, YMS, TMS and ERP.
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Pick the workflows. Rank warehouse exception workflows by frequency, cost and how easily they can be automated, then decide which ones agents take on first.
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Specify the agents. Define what each agent senses, decides and does, what it may write back to the WMS, and where a human stays in the loop.
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Design the integrations. Work with engineering on how we read from and write to tier-1 WMS platforms: APIs, events, EDI, flat files and middleware.
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Work with operators, not just on documents. Spend real time on distribution center floors with design-partner customers. Sit with engineers as the domain expert, not as a ticket writer.
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Arm the field. Help sales and solutions teams pitch and scope warehouse use cases credibly with VPs of distribution and their IT teams.
REQUIRED QUALIFICATIONS:
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6–10 years across warehouse operations and WMS implementation, integration or solution consulting.
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Hands-on experience with at least two of: Manhattan (WMOS or Active WM), Blue Yonder WMS, SAP EWM, Oracle WMS Cloud, Körber/HighJump, Infor WMS.
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Fluency in the WMS object model: ASNs, receipts, LPNs, putaway, replenishment, waves, tasks, picking, load building, ship confirm.
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You've built or specified WMS–TMS–ERP integrations (EDI 856/940/945, APIs, middleware) and know where they break in production.
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Time on a distribution center floor, as a supervisor, engineer, analyst or on go-lives, enough that you know how the work actually happens versus how it's documented.
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Product instinct. You'd rather build something repeatable once than configure it 50 times for 50 customers.
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Comfort with ambiguity and with working closely with engineers who move fast.
NICE TO HAVE QUALIFICATIONS:
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Experience with yard, dock scheduling or labor management systems.
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Exposure to AI agents, LLM-based automation or orchestration platforms.
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Pre-sales or solution consulting experience with enterprise shippers.
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Spanish or Portuguese fluency.
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