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BinSentry is a fast-growing ag-tech company based in Kitchener, Ontario, focused on providing solutions for the agriculture supply chain. The company uses artificial intelligence paired with optical sensors and user-friendly software to help feed mills and protein producers enhance forecasting and decision-making capabilities. BinSentry currently monitors over 70,000 bins in real time across North America.
In this role, you will be responsible for keeping BinSentry's deployed sensor fleet, inventory measurements, and operational data accurate and reliable. You will work closely with Operations, Customer Success, Product, and Engineering teams to review fleet performance, investigate discrepancies, validate customer inventory comparisons, and improve the processes that support this work.
Key responsibilities include:
**Fleet Quality:** Own recurring fleet-quality reviews using operational data and automated monitoring tools to ensure assigned equipment is reviewed consistently and on schedule. Investigate issues involving equipment performance, installation, configuration, data quality, and operating conditions. Document findings, track next steps, and escalate issues to appropriate teams for resolution.
**Inventory Accuracy:** Own the operational review of customer inventory comparisons and validation tests. Compare BinSentry results with reference information such as inventory movements, weight records, inventory reports, automation data, and manual measurements. Distinguish system-performance issues from differences caused by configuration, operating conditions, or limitations in reference information. Summarize results, confidence levels, likely contributing factors, and recommended actions. Maintain searchable records to identify trends and inform cross-functional teams.
**Operational Data:** Validate bin, site, sensor, installation, and survey information, including dimensions, capacities, sensor placement, ingredients, and bin names. Correct or flag missing, inconsistent, or conflicting information before it affects downstream operations or customer results.
**Processes and Systems:** Turn manual or loosely defined tasks into documented, repeatable workflows. Use APIs, structured data, dashboards, automation platforms, and AI-enabled tools to improve efficiency while maintaining human quality control. Partner with Product and Engineering when improvements require changes to internal software or data access.
Success in this role means fleet-quality reviews run reliably with potential issues identified and documented; customer accuracy tests follow a consistent, defensible process; records make it easier to identify recurring patterns; recurring workflows are increasingly automated; and Operations has a dependable technical resource who can investigate complex problems and translate operational needs into practical improvements.
**Requirements:**
*Required:*
- At least 3 years of experience in operations, quality assurance, data analysis, technical support, inventory management, or a similar analytical environment
- Strong analytical and problem-solving skills, with the ability to investigate discrepancies methodically and identify patterns, missing information, and potential root causes
- Excellent attention to detail and a strong commitment to data quality and accuracy
- Clear written communication, including the ability to turn a detailed investigation into a concise conclusion and recommended next step
- Strong organizational and collaboration skills, with the ability to manage recurring work and open issues across customers, sites, devices, and internal teams
- Confidence working with numerical data, spreadsheets, dashboards, and internal software, and a willingness to learn tools that improve and automate recurring work
- Ability to work in the Kitchener office most days of the week
*Preferred:*
- Experience with IoT devices, hardware-enabled software, fleet monitoring, industrial technology, or technical operations
- Experience using APIs, structured data, SQL, scripting, automation platforms, business-intelligence tools, or AI-enabled tools to improve workflows, dashboards, or internal tools (software development experience not required)
- Experience in agriculture, feed or grain operations, inventory management, or another industrial environment
