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BinSentry is a fast-growing ag-tech company based in Kitchener, Ontario, focused on agricultural supply chain solutions. The company uses artificial intelligence paired with optical sensors and software to help feed mills and protein producers improve efficiency, reduce costs, and enhance profitability. BinSentry currently monitors over 70,000 bins in real time across North America.
You will lead and build BinSentry's quality team, designing and implementing quality systems across the entire supply chain. This is a hands-on management role where you'll lead a team of capable engineers while also contributing technical work yourself.
Key responsibilities include:
- Direct day-to-day team activities and set priorities
- Analyze quality trends and field data to determine when investigations are needed
- Evaluate, design, and improve quality programs and tests across various test machinery
- Coordinate with managers across hardware, firmware, software, assembly, and field operations to solve quality issues
- Oversee team performance to ensure thorough, timely investigations
- Manage department budgets and procure tools, equipment, and resources
- Lead interviewing and onboarding of new team members
- Conduct performance reviews and support career development
BinSentry offers competitive compensation with an equity package, full company-paid group health and dental benefits, HSA/PSA options, mentorship, and a meaningful mission in agricultural sustainability.
Requirements:
- Engineering or Mathematics degree
- 5+ years of experience in quality control management
- 3+ years of experience in statistical analysis, ideally in quality control
- Proven track record of team leadership, mentoring, and technical guidance
- Exceptional communication, collaboration, and interpersonal skills
- Experience hiring and building high-performing teams
- Trained and experienced in applying Statistical Process Control (SPC) to medium-volume manufacturing
- Experience working with vendors to solve quality issues
- Capability to guide others through complex technical problems
