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About the Role

As a Forward Deployed Engineer, you will be embedded with manufacturing customers and internal production teams to ensure the successful implementation and operation of Cerebro in real plant environments. This hands-on role focuses on the intersection of AI technology, manufacturing operations, and customer success, with success measured by reliable production deployments, measurable line improvements, and high customer adoption.

Responsibilities

Embed with customer manufacturing sites and internal production teams to understand workflows, constraints, data sources, and use cases for Cerebro.
Conduct site visits and technical assessments, translating observations into working solutions, prototypes, and production deployments.
Design, customize, integrate, and deploy Cerebro applications into live manufacturing environments, managing data connections, system integrations, reliability, and edge cases.
Collaborate with manufacturing leads and stakeholders using practical problem-solving approaches to identify opportunities and deliver measurable improvements.
Own the reliability and stability of Cerebro solutions post-deployment, troubleshooting in production, iterating quickly, and ensuring robustness.
Drive adoption through hands-on training, enablement, and partnership with operators and supervisors.
Capture field feedback, edge cases, and product gaps, communicating them to Data Science, Analytics, and product/engineering teams.
Contribute to streamlining deployment processes, automating training/support, and building reusable patterns for scalability.
Prepare technical and business artifacts to align customers and internal teams on realistic outcomes.

Requirements

Minimum 2 years of professional experience in an engineering, technical, or operational role.
Strong analytical and problem-solving skills to break down complex issues, gather data, and drive practical solutions.
Demonstrated ability to learn new technologies quickly and apply them effectively.
Excellent interpersonal and communication skills, comfortable working with all levels of personnel.
High ownership mentality and comfort operating in ambiguous, fast-moving environments.
Willingness and ability to travel for site visits and hands-on deployments.

Skills

Mechanical Engineering
Electrical Engineering
Industrial/Management Engineering
Manufacturing
Process Engineering
Lean/Six Sigma
Data analysis
Systems integration
Automation
Sensors
Computer vision
Applied AI tools

Location

On-site at customer manufacturing sites
Remote

Work Type

Full-time
Hybrid

Experience Level

Minimum 2 years of professional experience

Education Level

Engineering foundation (Mechanical, Electrical, Industrial/Management, or similar)

Benefits

Competitive Compensation
Health Benefits
Generous flexible medical / Health spending account
RRSP matching program
Tuition reimbursement
Discount program

About the Company

FGF Brands is a growing company with an entrepreneurial spirit, encouraging creativity and out-of-the-box thinking.
FGF Brands may use Artificial Intelligence (AI) tools as part of its recruitment and selection process.
FGF Brands is committed to providing an accessible recruitment process and offers accommodations upon request.

Equal Opportunity

FGF Brands is committed to providing an accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the recruitment and selection process.