TM Product Leader: AI-Driven Logistics Platform

RADIANT LOGISTICS INC

Renton (WA)

On-site

USD 98,000 - 127,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, and Vision insurance

Company-paid life insurance

Disability insurance

Health Savings Account

Flexible Spending Account

401(k) with employer match

Sick pay

Vacation pay

Paid holidays

EAP

Job summary

Radiant Logistics Inc. is seeking an SAP TM Product Manager to own the SAP Transportation Management platform.

This senior role bridges freight forwarding operations, IT delivery, and data strategy, translating logistics workflows into platform requirements and guiding station onboarding onto SAP TM. Reporting to the Director of TM Product, you will collaborate with SAP Basis, ABAP teams, AMS providers, and the data platform group to drive the full product lifecycle, embedding AI and analytics

Qualifications

Bachelor's degree in Information Systems, Supply Chain Management, Computer Science, or a related field.

Responsibilities

Own the SAP TM product roadmap – prioritize enhancements, integrations, and new module rollouts against business value, station onboarding commitments, and technical feasibility.
Serve as primary business process owner for core TM domains: Forwarding Order (FO/FWO), Freight Unit (FU), Freight Order/Booking (FRO/FB), Event Management (EM), and settlement/billing.
Partner with SAP Basis and AMS teams to translate requirements into functional specifications; review and accept delivered enhancements in UAT.
Maintain a groomed product backlog in Jira/Confluence; run sprint reviews and release planning with development and AMS teams.
Engage station managers and operations leads to capture workflow requirements – quoting, cost-plus pricing, AWB handling – and translate into platform capabilities or configuration changes.
Own the quoting and rate-management capability roadmap within TM to support network-wide adoption.
Collaborate with the data platform team on TM data pipelines to surface KPIs, revenue analytics, and dashboards.
Define product requirements for AI-assisted features: intelligent routing, exception flagging, anomaly detection, and operator UX enhancements in TM.
Embed LLM-powered capabilities into TM workflows with data governance and audit trails.
Ensure TM configuration and workflows meet regulatory/compliance needs (ITAR/EAR, customs data).
Support SAP license management and vendor relationships with AMS providers.
Manage day-to-day relationships with TM AMS providers and SOW delivery.