Configure Manhattan Active Warehouse Management solutions by gathering requirements, setting up facility/warehouse structures, inventory and labor settings, integrations (ERP/OMS/TMS/WCS), testing (SIT/UAT/Go-Live/Hypercare), troubleshooting production issues, and producing design/configuration documentation.
This is a remote position.
Job SummaryWe are seeking an experienced Manhattan Active WM Configuration Consultant with strong expertise in configuring Manhattan Active Warehouse Management solutions. The ideal candidate should have experience implementing and configuring MAWM for retail, eCommerce, or distribution environments and be capable of translating business requirements into scalable warehouse solutions.
- Gather and analyze business requirements from warehouse operations teams.
- Configure Manhattan Active WM based on business processes and operational needs.
- Configure:
- Facility
- Warehouse Structure
- Work Groups
- Zones
- Locations
- Inventory Attributes
- Item Profiles
- Putaway Strategies
- Picking Strategies
- Allocation Rules
- Wave Templates
- Replenishment Rules
- Labor Settings
- Packing and Shipping Configuration
- Facility
- Configure user roles, security, and permissions.
- Support integration testing with ERP, OMS, TMS, WCS, and automation systems.
- Participate in workshops, CRP sessions, SIT, UAT, Go-Live, and Hypercare.
- Troubleshoot production issues and recommend configuration improvements.
- Prepare solution design and configuration documentation.
- Work closely with developers, architects, QA teams, and business stakeholders.
Similar Jobs
Information Technology • Professional Services • Analytics • Consulting
The MAWM Configuration Specialist will configure and implement Manhattan Active Warehouse Management solutions, translating business needs into system configurations, and supporting integrations with other systems.
Top Skills:
APIsErp SystemsManhattan Active Warehouse ManagementMicroservicesOracleSAPSQLWarehouse Management Systems
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and maintain Databricks datasets, SQL/Python analytical workflows, and governed semantic layers. Support AI agent enablement by curating knowledge, prompts, and metadata. Partner with business stakeholders to deliver insights, automate workflows, and ensure data governance, quality, and trusted metrics for self-service intelligence and executive reporting.
Top Skills:
Azure OpenaiChatgptDatabricksDatabricks GenieGenerative AiGenie SpacesMicrosoft CopilotPrompt EngineeringPythonSQLUnity Catalog
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform complex analyses of large healthcare claims datasets to support Payment Integrity operations. Design, validate, and maintain production queries, reports, dashboards, and KPI frameworks. Lead root-cause analysis, data validation, and forecasting. Partner with business and technical stakeholders to translate requirements, monitor data quality and algorithm performance, and deliver actionable recommendations to improve operational outcomes and compliance.
Top Skills:
ExcelFacetsIsysOracleQnxtSnowflakeSQLSQL Server
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

