Sustainable thermal and protective packaging for cold-chain shipping
TemperPack manufactures plastic-free insulated shippers and protective packaging for food and life sciences cold chains, out of Richmond, Virginia. Accelerating hiring tilts heavily toward manufacturing and maintenance, and job posts repeatedly cite uptime, repetitive failures and spare-parts control, which points to a plant scaling throughput. An Allen-Bradley/PLC controls layer sits beside an in-flight Dynamics 365 Business Central rollout and Power BI reporting.
TemperPack, founded in 2015 and headquartered in Richmond, Virginia, designs and produces sustainable packaging meant to replace conventional plastics and foam. Its range covers thermal and insulated shippers, food and beverage packaging, and life sciences packaging, with curbside recyclable and compostable options. The company runs packaging design, materials and process engineering functions alongside an ISTA thermal transport lab. It is a privately held business with 501–1,000 employees, hiring across manufacturing, engineering, finance, maintenance and IT in the United States.
TemperPack uses SolidWorks and Onshape for CAD, Dynamics 365 Business Central, SAP and Oracle for business systems, Power BI and Power Automate, Salesforce and HubSpot for sales, and Allen-Bradley PLCs on the plant floor.
Yes. Hiring is accelerating and centers on manufacturing, followed by engineering, finance and maintenance, mostly at mid and senior levels, all in the United States.
Current initiatives include implementing Dynamics 365 Business Central, a preventative maintenance program, new equipment commissioning, custom automation equipment, and operational performance reporting.
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TemperPack's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.