The Project Manager will oversee warehouse automation projects, manage cross-functional teams, ensure compliance with safety standards, and lead project execution and communication with stakeholders.
Job Responsibilities
Job Responsibilities
• Manage the full lifecycle of challenging warehouse automation projects, ensuring alignment with business objectives.
• Lead and contribute to engineering reviews, providing input on systems architecture, facility processes, and automation components.
• Partner with internal stakeholders and external vendors to prioritize projects, set milestones, and maintain schedules.
• Proactively identify and resolve project risks, dependencies, and bottlenecks.
• Oversee the execution of systems and automated equipment designs, ensuring compliance with safety and performance standards.
• Lead installation, throughput, and safety qualifications for automated equipment.
• Facilitate effective meetings, driving technical and business discussions to ensure alignment and progress.
• Provide regular project status updates, risk analyses, and mitigation plans to leadership.
• Manage change orders, purchase orders, and invoicing for automation projects.
• Build strong relationships with internal and external teams to enhance project execution.
• Identify and implement process improvements that drive efficiency across engineering and cross-functional teams.
Job Requirements
Job Requirements
• Bachelor’s degree in industrial engineering, Mechanical Engineering, or other STEM-related field.
• 5+ years of experience in project management, process engineering, or implementing automation systems.
• Proficiency in CAD software (AutoCAD, REVIT, BIM 360).
• Strong experience in managing cross-functional projects involving automation, material handling, or integrated systems.
• Excellent problem-solving skills with the ability to lead technical teams and drive high-impact solutions.
• Familiarity with Six Sigma and Lean Manufacturing principles.
• Experience with automation solutions such as conveyors, sorters, high-speed manufacturing lines, and robotic cells.
• Proficiency with project management tools (Microsoft Project, Smartsheet).
About UsSHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
Job Responsibilities
• Manage the full lifecycle of challenging warehouse automation projects, ensuring alignment with business objectives.
• Lead and contribute to engineering reviews, providing input on systems architecture, facility processes, and automation components.
• Partner with internal stakeholders and external vendors to prioritize projects, set milestones, and maintain schedules.
• Proactively identify and resolve project risks, dependencies, and bottlenecks.
• Oversee the execution of systems and automated equipment designs, ensuring compliance with safety and performance standards.
• Lead installation, throughput, and safety qualifications for automated equipment.
• Facilitate effective meetings, driving technical and business discussions to ensure alignment and progress.
• Provide regular project status updates, risk analyses, and mitigation plans to leadership.
• Manage change orders, purchase orders, and invoicing for automation projects.
• Build strong relationships with internal and external teams to enhance project execution.
• Identify and implement process improvements that drive efficiency across engineering and cross-functional teams.
Job Requirements
Job Requirements
• Bachelor’s degree in industrial engineering, Mechanical Engineering, or other STEM-related field.
• 5+ years of experience in project management, process engineering, or implementing automation systems.
• Proficiency in CAD software (AutoCAD, REVIT, BIM 360).
• Strong experience in managing cross-functional projects involving automation, material handling, or integrated systems.
• Excellent problem-solving skills with the ability to lead technical teams and drive high-impact solutions.
• Familiarity with Six Sigma and Lean Manufacturing principles.
• Experience with automation solutions such as conveyors, sorters, high-speed manufacturing lines, and robotic cells.
• Proficiency with project management tools (Microsoft Project, Smartsheet).
About UsSHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
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What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
