Senior Industrial Engineer (Solution Design)

About this role

General Information:
Job Title: Senior Industrial Engineer (Solution Design)
Location: Toronto, ON (Onsite/Hybrid)
Job Type: Full-Time
Reporting Line: Director of Product Strategy
Travel Expectations: 0-10%
Salary Range: Base Compensation: ~$120k–$135k CAD per year (negotiable)

About Fulfillment IQ (FIQ):

Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk.
If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life.

Role Overview:
We are looking for a Senior Industrial Engineer (Solution Design) who can go beyond traditional warehouse design and help shape how complex operational systems are defined, modeled, and scaled.
This role sits at the intersection of industrial engineering, product development, and computational modeling. You will not only design warehouse solutions but also play a key role in structuring and standardizing design logic into reusable frameworks that power next-generation solution design systems.
You’ll have the opportunity to influence how system design evolves—moving from one-off solutions to scalable, repeatable approaches. This is a high-ownership role, ideal for someone who enjoys working in ambiguous, early-stage environments and building from first principles.

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

Must Have:
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

Nice to Have:
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

Key Responsibilities:
System Design & Problem Structuring
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

Domain Modeling & Knowledge Structuring
Convert operational know-how into structured frameworks, rules, and parameters
Define and refine process assumptions (time standards, throughput, resource utilization)

Create reusable representations of system components, such as:
Labor and staffing models
Equipment and infrastructure choices
Space and flow design principles

Product & Modeling Collaboration
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

Validation & Continuous Improvement
Validate system outputs against real-world feasibility
Identify gaps between models and execution
Continuously refine system logic based on feedback
Qualifications & Skills:
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

What Success Looks Like in the First 90 Days:
30 Days In: Understand & Deconstruct the Problem
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

Begin structuring core components such as:
Process time standards
Labor modeling logic
Equipment and facility constraints
Establish strong working cadence with Product, Engineering, and the Chief Scientist

60 Days In: Structure & Encode Core Logic
Translate real-world design thinking into structured frameworks and reusable logic
Build initial versions of:
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

90 Days In: Validate & Enable the System
Deliver a usable domain foundation that supports the scenario engine and early…