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Added 33 mins ago
HR
Software Analyst
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- Full-time
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BinSentry

Field Operations Specialist

Kitchener, ON, N2G 1H6, Canada

Full-time

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Job details

Job type: Full-time
Experience: At least 3 years of experience in operations, quality assurance, data analysis, technical support, inventory management, or a similar analytical environment.
Posting language: English
Posted: Oct 9, 2026

Original job description

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 70,000 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 www.binsentry.com.

The Role

Help keep BinSentry’s 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

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 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.

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More about this job

Responsibilities

The specialist will manage fleet-quality reviews, investigate equipment performance discrepancies, and validate customer inventory data. They will also document findings and improve operational workflows through automation and structured data management.

Requirements

Candidates must have at least 3 years of experience in operations, quality assurance, or data analysis with strong problem-solving and analytical skills. Proficiency in managing recurring technical work and the ability to work on-site in Kitchener are required.

Skills

Data analysis
Quality assurance
Inventory management
Technical support
Problem-solving
Analytical skills
Written communication
Organizational skills
Spreadsheets
Dashboards
SQL
Automation platforms
IoT devices
Industrial technology
Data quality
Process improvement

Visa sponsorship

Not detected in the job text

Keywords

Ag-tech
Artificial intelligence
Optical sensors
Supply chain management
Fleet monitoring
Data quality
Inventory accuracy
SQL
APIs
Automation
Business intelligence
IoT
Hardware-enabled software
Process documentation
Operational data
Agriculture
Feed mills
Protein producers
Technical operations
Root cause analysis

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