Field Operations Specialist

About BinSentry

BinSentry is an extremely fast-growing ag-tech company started here in KW.
BinSentry is focused on providing solutions for the agriculture supply chain that help increase efficiency reduce costs and enhance profitability. As a leader in the use of artificial intelligence BinSentry offers technology solutions that pair best-in-class optical sensors with user-friendly software to provide our customers with enhanced forecasting and decision-making capabilities.

With our technology feed mills and protein producers are enhancing feed ordering efficiency raising healthier animals improving employee safety reducing their environmental footprint and - most significantly - uncovering new savings. Today BinSentry is monitoring more than 70000 bins in real time across North America. When it comes to the future of agricultural supply chain management BinSentry is leading the way. For more information visit .

The Role

Help keep BinSentrys deployed sensor fleet inventory measurements and operational data accurate and reliable. As our Operations Quality and Systems Coordinator you will review fleet performance investigate discrepancies validate customer inventory comparisons and improve the processes that support this work.

Working closely with Operations Customer Success Product and Engineering you will turn findings into clear next steps and make recurring workflows more consistent documented and increasingly automated as BinSentry grows.

Key Responsibilities

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 the 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 the reference information.
• Summarize results confidence levels likely contributing factors and recommended actions. Maintain searchable records of fleet-quality reviews and accuracy tests to identify trends and inform Operations Product Engineering and Customer Success.

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.

What Success Looks Like

• Fleet-quality reviews run reliably with potential issues identified documented and assigned clear next steps. Automated monitoring helps Operations identify and prioritize issues.
• Customer accuracy tests follow a consistent defensible process supported by clear calculations evidence conclusions and follow-up.
• Records make it easier to identify recurring patterns across bins sites customers and issue types.
• Recurring workflows are easier to execute and less dependent on manual administration with automation maintaining or improving quality.
• Operations has a dependable technical resource who can investigate complex problems across systems and translate operational needs into practical improvements.

Qualifications

• 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 is not required.
• Experience in agriculture feed or grain operations inventory management or another industrial environment.

Why Join BinSentry

• Work across operations data hardware software and AI to solve practical problems with a collaborative team.
• Own work that directly influences product quality customer trust and the reliability of a growing sensor fleet.
• Help shape operational processes and tools as the company grows.
• Support the people and operations that feed the world.

We use artificial intelligence tools to support parts of our recruitment process such as screening or assessing applications. Final hiring decisions are made by our hiring team.

Required Experience:

Manager