Tetra

Tetra

Door-to-Door Canvasser

Massachusetts

Sponsorship not specifiedDetected 50 days ago

About the role

  • The average high-efficiency system we install helps families reduce their energy usage by up to 50% compared to outdated systems.
  • The environmental impact of Tetra's work is already substantial.
  • In 2024 alone, Tetra helped homeowners secure over $10 million in energy efficiency incentives and tax credits, reducing financial hurdles and encouraging more sustainable choices.

Requirements

  • Door to Door Canvasser (Must be based in MA)

Compensation

  • Get paid weekly
  • On-target earnings $100,000/year, with no cap
  • Pipeline transparency

Benefits

  • Be part of a company that puts customer wellbeing and sustainability alongside profit
  • Discuss how modern HVAC systems benefit both their comfort and the environment
  • As a Door-to-Door Canvasser, you'll be improving community health and sustainability one home at a time.

Company info

  • We're on a mission to create healthier, more comfortable, and energy-efficient homes in communities across Massachusetts.
  • Our team of dedicated sustainability advocates work directly with homeowners to implement modern HVAC solutions that improve indoor air quality while reducing energy consumption and utility costs.
  • Tetra's projects have reduced over 75,000 metric tons of carbon emissions, equivalent to removing 16,000 cars from the road annually.
  • Your Impact:
  • Join our high energy canvassing team to connect with homeowners in targeted neighborhoods
  • Educate community members about available energy-efficiency incentives, rebates, and tax credits
  • Help homeowners understand their current home's energy performance and indoor air quality challenges
  • Guide customers toward HVAC solutions that maximize comfort while minimizing environmental impact
  • Participate in local community events to raise awareness about healthy home environments and energy conservation

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