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Warehouse AI Orchestration Lead
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Posted on: Nov 04, 2026
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Remote, Oregon
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Remote
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Full-time
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Job Title :
Warehouse AI Orchestration Lead
Job Type :
Full-Time
Job Location :
Remote Oregon United States
Remote :
Yes
Job Description :
Job Description
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.
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.
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.
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.
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.
Arm the field. Help sales and solutions teams pitch and scope warehouse use cases credibly with VPs of distribution and their IT teams.
6–10 years across warehouse operations and WMS implementation, integration or solution consulting.
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.
Fluency in the WMS object model: ASNs, receipts, LPNs, putaway, replenishment, waves, tasks, picking, load building, ship confirm.
You've built or specified WMS–TMS–ERP integrations (EDI 856/940/945, APIs, middleware) and know where they break in production.
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.
Product instinct. You'd rather build something repeatable once than configure it 50 times for 50 customers.
Comfort with ambiguity and with working closely with engineers who move fast.
Experience with yard, dock scheduling or labor management systems.
Exposure to AI agents, LLM-based automation or orchestration platforms.
Pre-sales or solution consulting experience with enterprise shippers.
Spanish or Portuguese fluency.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Position Details
Posted:
Nov 04, 2026
Reference Number:
68c3af82
Employment:
Full-time
City:
Remote
Job Origin:
ziprecruiter
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