Cornerstone Building Brands

Cornerstone Building Brands

Glass Handler Night Shift

Rocky Mount, VA, United States · Full-time

No sponsorshipDetected 23 days ago
ComplianceCommunicationProblem Solving

About the role

  • Our market-leading portfolio of products spans vinyl windows, vinyl siding, stone veneer, metal roofing, metal wall systems and metal accessories.
  • For more information, visit us at cornerstonebuildingbrands.com.
  • Our teams are at the heart of our purpose to positively contribute to the communities where we live, work and play.

Responsibilities

  • Willing and able to cross-train and fill in for leads in other areas as necessary
  • Translate instructions into computer commands so the machine can perform function

Requirements

  • Must be at least 18 years of age to apply
  • Must be authorized to work in the US
  • Must be able to pass a background check and drug test

Skills

  • Simple arithmetic skills/able to read a ruler
  • Good organization and communication skills
  • Good problem-solving skills

Compensation

  • Rate: $17.00 per hour

Company info

  • Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and low-rise non-residential buildings in North America.
  • Headquartered in Cary, N.C., we serve residential and commercial customers across the new construction and Repair & Remodel (R&R) markets.
  • Cornerstone Building Brands' broad, multi-channel distribution platform and expansive national footprint includes more than 18,800 team members at manufacturing, distribution and office locations throughout North America.
  • Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in our culture.
  • We are committed to contributing positively to the communities where we live, work and play.
  • Work well with others as part of a team

Visa & Work Authorization

  • Must be authorized to work in the US

This listing is sourced directly from Cornerstone Building Brands's careers page and normalized into a canonical job model.