Senior Industrial Engineer (Solution Design)

• Translate real-world warehouse design into structured logic
• Build reusable domain models for system design
• Bridge operations with product and computational systems

• 5–10+ years of industrial engineering experience in warehouse, logistics, or 3PL environments
• Hands-on experience designing warehouse layouts, staffing models, and process flows
• Strong understanding of warehouse operations (inbound, outbound, storage, fulfillment)
• Experience with labor modeling, productivity drivers, and equipment selection
• Ability to translate real-world systems into structured logic and models
• Familiarity with spreadsheet-driven modeling approaches
• Exposure to analytical tools (SQL, Python, neo4j) is preferred
• Experience in consulting, solution design, or operational engineering environments

• Experience with simulation tools (AnyLogic, FlexSim, Simio, Arena, etc.)
• Exposure to automation technologies (AS/RS, robotics, conveyors)
• Experience working with optimization or decision-support models
• Prior involvement in building tools, frameworks, or reusable design methodologies

• Design end-to-end warehouse and logistics systems
• Break down workflows into structured components (processes, constraints, decision points)
• Translate ambiguous requirements into model-ready problem definitions

• Convert operational know-how into structured frameworks, rules, and parameters
• Define and refine process assumptions (time standards, throughput, resource utilization)

• Labor and staffing models
• Equipment and infrastructure choices
• Space and flow design principles

• Work with product and engineering teams to translate domain logic into scalable systems
• Define how trade-offs (cost, service, space, throughput) are represented in models
• Support the development of systems that evaluate multiple design scenarios

• Validate system outputs against real-world feasibility
• Identify gaps between models and execution
• Continuously refine system logic based on feedback

• Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Supply Chain, or a related field
• Experience in consulting, solution design, or operational engineering environments is highly valued
• Proven experience working as a Solutions Engineer or Industrial Engineer within large-scale 3PL, logistics, or supply chain organizations (senior-level experience preferred)
• Strong understanding of warehouse design, operational workflows, and end-to-end solutioning in logistics environments
• Ability to translate operational requirements into structured models and scalable design frameworks
• Excellent analytical, problem-solving, and communication skills

• Build a deep understanding of how warehouse design is currently done (internally and across design partners)
• Clearly map the end-to-end solution design process (demand → process → labor → space → cost)
• Identify and document key inputs, assumptions, and decision drivers used in real-world designs

• Process time standards
• Labor modeling logic
• Equipment and facility constraints
• Establish strong working cadence with Product, Engineering, and the Chief Scientist

• Translate real-world design thinking into structured frameworks and reusable logic

• Process and throughput models
• Staffing and labor assumptions
• Equipment and space allocation rules
• Contribute to defining:
• Key system inputs
• Constraints and boundaries
• Decision variables that drive design outcomes
• Start testing structured logic against historical RFPs or known designs

• Deliver a usable domain foundation that supports the scenario engine and early modeling efforts
• Validate system outputs against real-world designs and identify gaps or inaccuracies
• Refine assumptions and logic based on feedback from internal teams and design partners
• Enable the system to produce credible, defensible design outputs for initial use cases
• Establish a repeatable approach for continuously improving and expanding the model

• Quality and scalability of design frameworks
• Accuracy of system-generated outputs vs real-world designs
• Contribution to domain modeling and system logic
• Cross-functional collaboration with product and engineering
• Impact on solution design efficiency and repeatability

• Comprehensive health and dental coverage for you and your family (region-specific plans)

• Employee wellness programs where applicable

• Competitive paid time off (PTO), sick leave, and public holidays

• Flexible leave policies that respect local labor standards

• Retirement savings programs and employer contributions

• Region-specific plans (401(k) in the U.S., CPP and supplementary plans in Canada)

• Dedicated learning and development budget

• Support for skills development, leadership growth, and career progression

• Remote and hybrid work options

• Flexible working hours aligned to role and client needs

• Equipment and workstation allowances

• Internet and business travel reimbursements

• Employee stock options (ESOP), where applicable

• Team events, meetups, and company offsites

Fulfillment IQ