This role involves analyzing business requirements, configuring Manhattan WMOS software, providing support, and training users while collaborating with IT teams and stakeholders.
This is a remote position.
Responsibilities:
- Analyzing business requirements and designing solutions using the Manhattan WMOS software.
- Collaborating with other IT teams and business stakeholders to ensure effective implementation and integration of the WMOS solution.
- Configuring and testing the WMOS software to meet business needs and requirements.
- Providing technical support and troubleshooting for the WMOS software.
- Developing and delivering training materials to end-users of the WMOS software.
- Participating in system upgrades and enhancements.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Strong knowledge of the Manhattan WMOS software and its modules.
- Experience with warehouse management and supply chain management systems.
- Proficient in SQL, Java, and other programming languages.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
- Willingness to learn and adapt to new technologies and software.
Overall, the Manhattan WMOS Functional job involves designing, implementing, configuring, and maintaining the Manhattan WMOS software to meet the business requirements of an organization. The position requires strong technical skills, as well as the ability to collaborate effectively with other IT teams and business stakeholders.
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead enterprise-wide performance marketing strategy and operations across GM brands. Create standards, frameworks, and operating rhythms; translate business objectives into integrated full-funnel strategies; partner with cross-functional teams to activate, optimize, measure, and scale performance marketing; provide objective strategic counsel, coach teams, and drive global adoption of best practices.
Top Skills:
AIAnalyticsAttributionAudience StrategyCRMCustomer DataDashboardsData VisualizationExperimentationMarketing TechnologyPaid MediaProgrammaticSearchSocialWebsite Conversion Optimization
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead design-system work across vehicle, mobile and web: create components, patterns, design tokens and grids; collaborate with UI, UX, accessibility and front-end teams to implement cohesive, cross-platform systems.
Top Skills:
Adobe IllustratorAdobe IndesignAdobe PhotoshopFigma
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead and execute performance marketing analytics: set analytical agenda, integrate disparate data, run root-cause analyses, build models, produce executive narratives, mentor team members, and drive cross-functional decisions while remaining hands-on with data, dashboards, and measurement.
Top Skills:
Excel
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

