Key system inputs General Information:

Job Title

Senior Industrial Engineer (Solution Design) Location:

Toronto, ON (Onsite/Hybrid) Job Type:

Full-Time Hiring Timeline:

Immediate Existing Vacancy

Yes Application Deadline

Open until Filled Reporting Line:

Director of Product Strategy Travel Expectations:

0-10% Salary Range:

$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 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 Key Performance Indicators (KPIs):

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 Why You'll Love Working Here:

At Fulfillment IQ,



we don't just build supply chain solutions. We build careers, friendships, and unforgettable experiences. We believe in giving our senior technical leaders real ownership, real influence, and the opportunity to shape platforms that power real-world logistics operations. As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive workplace for all team members. Here's what makes working with us a rewarding experience: Work That Matters

Build systems that directly impact global commerce and supply chain performance.

Career Growth That

Matters

We invest in mentorship, leadership development, learning budgets, and long-term career growth. Flexibility to Thrive

We support remote and hybrid work models by offering multiple office locations to help you perform at your best.

We Celebrate

You

From team wins to work anniversaries, we recognize impact, celebrate milestones and reward performance. A Collaborative Culture

Work alongside talented engineers, product leaders, and award-winning domain experts who value ownership, transparency, and high standards. Perks you'll appreciate:

Employee Health: Comprehensive health and dental coverage for you and your family

Time Off: Competitive paid time off and flexible leave policies

Retirement: Retirement savings programs and employer contributions

Professional Growth: Dedicated learning and development budget

Flexible Work: Remote and hybrid work options

Perks: Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.

Community Engagement: Team events, meetups, and company offsites Use of Artificial Intelligence in Hiring:

FIQ uses artificial intelligence to assist in the screening, assessment, and shortlisting of applications for this position, including features within our applicant tracking system. AI supports human reviewers and does not make hiring decisions on its own. Final hiring decisions are made by FIQ personnel. If you have questions about how AI is used in this process, contact [email protected]. Accommodations:

FIQ is committed to an inclusive and accessible recruitment process. Consistent with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available on request at any stage of recruitment and assessment. Contact [email protected] and we will work with you to meet your needs.

Candidate

Privacy

Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice, available here, and in accordance with applicable Canadian privacy law (PIPEDA). This includes the use of AI-assisted screening described above and cross-border storage or processing that may occur in the United States. By applying, you acknowledge this notice.

Questions: [email protected].

Equal

Opportunity

Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace. We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.

Learn More About

Us

Website

fulfillmentiq.com LinkedIn:

Fulfillment IQ Spotify

eCom Logistics Podcast Spotify YouTube:

eCom Logistics Podcast YouTube

📌 Senior Industrial Engineer (Solution Design) (Toronto)
🏢 Fulfillment IQ
📍 Toronto