Warehouse AI Orchestration Lead

Loadsmart

United States

Hybrid

USD 120,000 - 155,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work setup
Travel up to 15%
Equity (if applicable)
PTO & sick leave
Medical, dental and vision coverage
401(k) match

Job summary

Loadsmart seeks a Lead Product Manager to bring AI automation into warehouse operations. You’ll map how WMS connects with yard, dock, transportation, and ERP systems, then turn real workflows and exceptions into repeatable product capabilities.

The role blends warehouse expertise, integration know‑how, and close collaboration with engineers and enterprise customers. You will articulate use cases with distribution leaders and drive delivery in a fast‑moving environment from a hybrid Chicago base,

Qualifications

  • 6–10 years in warehouse ops, WMS implementation, integration, or solution consulting.
  • Hands-on experience with at least two major WMS platforms such as Manhattan, Blue Yonder, SAP EWM, Oracle WMS Cloud, Körber/HighJump, or Infor.
  • Working knowledge of WMS entities and processes including ASNs, receipts, license plates, putaway, replenishment, waves, picking, load building, and ship confirmation.
  • Experience building or specifying WMS, TMS, and ERP integrations using EDI, APIs, or middleware, understanding production failure points.
  • Distribution center floor experience in operational work, analysis, engineering, or implementation support.
  • Product judgment, comfort with ambiguity, and ability to work with fast-moving engineering teams.

Responsibilities

  • Identify warehouse workflows and exception cases where AI agents can reduce manual work.
  • Define how warehouse data and transactions move across WMS, yard, dock, TMS, and ERP systems.
  • Translate customer needs into reusable product requirements rather than one-off configurations.
  • Work with engineers to shape and deliver the product in an evolving, ambiguous environment.
  • Explain and scope warehouse use cases with distribution leaders and their technology teams.

Skills

Warehouse operations
WMS integration
Product management
APIs & EDI
Stakeholder collaboration

Tools

Manhattan WMS
Blue Yonder
SAP EWM
Oracle WMS Cloud
Körber/HighJump
Infor

Job description

Role overview

Lead the product work that brings AI automation into warehouse operations. You’ll map how warehouse management systems connect with yard, dock, transportation, and enterprise systems, then turn real operational workflows and exceptions into repeatable product capabilities. The role combines warehouse expertise, integration knowledge, and close collaboration with engineers and enterprise customers.

Responsibilities
  • Identify warehouse workflows and exception cases where AI agents can reduce manual work.
  • Define how warehouse data and transactions should move across WMS, yard, dock, TMS, and ERP systems.
  • Translate customer needs into reusable product requirements rather than one-off configurations.
  • Work with engineers to shape and deliver the product in an evolving, ambiguous environment.
  • Explain and scope warehouse use cases with distribution leaders and their technology teams.
Requirements
  • 6–10 years in warehouse operations, WMS implementation, integration, or solution consulting.
  • Hands‑on experience with at least two major WMS platforms, such as Manhattan, Blue Yonder, SAP EWM, Oracle WMS Cloud, Körber/HighJump, or Infor.
  • Working knowledge of WMS entities and processes, including ASNs, receipts, license plates, putaway, replenishment, waves, picking, load building, and ship confirmation.
  • Experience building or specifying WMS, TMS, and ERP integrations using EDI, APIs, or middleware, with an understanding of production failure points.
  • Distribution center floor experience, such as operational work, analysis, engineering, or implementation support.
  • Product judgment, comfort with ambiguity, and ability to work closely with fast-moving engineering teams.
Nice to have
  • Experience with yard, dock scheduling, or labor management systems.
  • Familiarity with AI agents, LLM‑based automation, or orchestration platforms.
  • Enterprise presales or solution consulting experience; Spanish or Portuguese fluency.
Benefits and work setup

Hybrid role based in Chicago, with customer‑site travel of up to about 15%. Listed base salary is $120,000–$155,000 per year. Benefits include equity, paid time off and sick leave, medical, dental and vision coverage, and a 401(k) match. Applicants must already be authorized to work full time in the United States; visa sponsorship is unavailable.

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