Warehouse AI Orchestration Lead

Speak to Kit; Chicago (IL); Hybrid; USD 120,000 - 155,000; Full time

Benefits offered by this job

Stock options

Flexible PTO

Health insurance

401(k)

Job summary

Speak to Kit is seeking a Warehouse AI Orchestration Lead based in Chicago, with a full-time, hybrid pattern (2–3 days in office) and up to 15% travel. The role offers $120,000–$155,000 yearly plus stock options, flexible PTO, health insurance and a 401(k).

The candidate will map cross-system workflows across WMS/YMS/TMS/ERP, rank and optimize warehouse processes, and define agent behaviors while collaborating with engineering to read/write via APIs, EDI and middleware.

Qualifications

• 6 to 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, Korber/HighJump, Infor WMS.
• Fluency in the WMS object model: ASNs, receipts, LPNs, putaway, replenishment, waves, tasks, picking, load building, ship confirm.
• Experience building or specifying WMS-TMS-ERP integrations (EDI 856/940/945, APIs, middleware), including where they break in production.
• Real floor time in a distribution centre, as a supervisor, engineer, analyst or on go-lives.
• Product instinct: builds repeatable patterns, not one-off configurations.
• Comfort working closely with fast-moving engineering teams.

Responsibilities

• Map cross-system workflows from dock to stock and order to ship across WMS, YMS, TMS and ERP.
• Rank warehouse exception workflows by frequency, cost and automation potential.
• Define what each agent senses, decides and does, and where a human stays in the loop.
• Work with engineering on reading from and writing to tier-1 WMS platforms via APIs, events, EDI, flat files and middleware.
• Spend real time on distribution centre floors with design-partner customers as the domain expert.
• Help sales and solutions teams pitch and scope warehouse use cases credibly with VPs of distribution and their IT teams.

Skills

Warehouse ops

WMS integration

API/EDI integration

On-floor leadership

Cross-functional collab

Product instinct

Engineering liaison

Fast-paced tech

Tools

Manhattan WMOS/Active WM

Blue Yonder WMS

SAP EWM

Oracle WMS Cloud

Korber/HighJump

Infor WMS

Job description

Overview

A growth-stage logistics technology company is hiring a Warehouse AI Orchestration Lead based in Chicago. This is a full-time, permanent role with a hybrid working pattern of 2 to 3 days per week in the office and up to 15% travel to customer sites. The salary is $120,000 to $155,000 per year, with benefits including stock options, flexible PTO, health insurance, and a 401(k).

Key Responsibilities

• Map cross-system workflows from dock to stock and order to ship, showing where each event, object and decision lives across WMS, YMS, TMS and ERP
• Rank warehouse exception workflows by frequency, cost and automation potential, then decide which agents take on first
• Define what each agent senses, decides and does, what it may write back to the WMS, and where a human stays in the loop
• Work with engineering on how to read from and write to tier-1 WMS platforms via APIs, events, EDI, flat files and middleware
• Spend real time on distribution centre floors with design-partner customers, acting as the domain expert alongside engineers
• Help sales and solutions teams pitch and scope warehouse use cases credibly with VPs of distribution and their IT teams

Requirements

Must-haves

• 6 to 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, Korber/HighJump, Infor WMS
• Fluency in the WMS object model: ASNs, receipts, LPNs, putaway, replenishment, waves, tasks, picking, load building, ship confirm
• Experience building or specifying WMS-TMS-ERP integrations (EDI 856/940/945, APIs, middleware), including where they break in production
• Real floor time in a distribution centre, as a supervisor, engineer, analyst or on go-lives
• Product instinct: builds repeatable patterns, not one-off configurations
• Comfort working closely with fast-moving engineering teams

Nice-to-haves

• Experience with yard, dock scheduling or labour 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

What Success Looks Like

• Deep fingerprints on the AI agents roadmap by the end of year one, not just advisory input
• Warehouse exception workflows ranked, documented and translated into agent specs the product team can build from
• WMS integration patterns defined in a way that scales across customers, not customer by customer
• Trusted by both the product team and customers as the person who understands how warehouses actually run

Team and Culture

• A product team that values domain depth and wants someone who can bridge warehouse reality and engineering execution
• A collaborative environment where the expectation is to sit with engineers as a domain expert, not to write tickets from a distance
• A company that moves fast and values people who can operate without a fully formed playbook

Challenges

• Most discovery work happens remotely, so building the kind of floor-level intuition this role depends on requires deliberate effort without regular site access
• This is a new product, which means the roadmap is still taking shape - the right person helps define what gets built, rather than executing against a settled plan
• Prioritisation calls are real and frequent: deciding which workflows to automate first, and making that case clearly to product and engineering, is a core part of the job