Flyzipline

Flyzipline

Field Tech

Phoenix, Arizona, USA · Contract

Sponsorship not specifiedDetected 23 hours ago
LogisticsCommunication

About the role

  • About Zipline Zipline is the world's largest and most experienced drone delivery service.
  • Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
  • The drone is only 15% of what we've built to enable seamless, reliable, global operations.

Responsibilities

  • Perform routine inspections and preventive maintenance on Dropbox equipment and supporting systems.
  • Escalate issues quickly when additional technical or operational support is needed.
  • Communicate professionally with partner teams, vendors, and Zipline employees.
  • Identify recurring problems and share ideas that could improve site reliability, safety, or the partner experience.
  • The ability to manage your time, prioritize work, and move between multiple sites.
  • Comfort working independently while staying connected with a larger support team.

Requirements

  • Ability to lift and carry up to 50 pounds.
  • Comfort working both indoors and outdoors in changing weather conditions.
  • Ability to commit to the full six-month contract.
  • If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Nice to have

  • Previous experience in field support, facilities maintenance, equipment repair, technical service, or a similar hands-on role is preferred but not required.

Skills

  • About Zipline
  • Zipline is the world's largest and most experienced drone delivery service.
  • Our system strengthens supply chains, reduces congestion, and gives people time back.
  • About You and The Role

Company info

  • Identify damaged equipment, safety concerns, or operational issues before they affect customers or partners.

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