Fullscript

Fullscript

Warehouse Associate (Riverside, CA)

Riverside, CA · Full-time

Sponsorship not specifiedDetected 42 days ago

About the role

  • At Fullscript, our warehouse team helps practitioners and patients get what they need, with care and intention.
  • In this role, you will scan, pick, and pack orders and work alongside a team that enjoys working together.
  • The work connects to real people, the team is welcoming, and the environment is positive.

Responsibilities

  • Fullscript shares pay ranges to support transparency and help candidates make informed decisions.
  • We commit to building an inclusive workplace where people feel respected and supported.

Compensation

  • Starting pay of $20.25 USD per hour
  • 💬 A note on pay The starting pay for this role is $20.25 USD per hour.
  • After 90 days, you may be eligible for quarterly bonuses through our Warehouse Incentive Program.
  • Fullscript shares pay ranges to support transparency and help candidates make informed decisions.
  • These ranges reflect base pay only and do not include stock options, wellness stipends, or other benefits that are part of Fullscript's total rewards package.
  • Final pay depends on your experience, skills, and location.

Benefits

  • These ranges reflect base pay only and do not include stock options, wellness stipends, or other benefits that are part of Fullscript's total rewards package.
  • We review compensation regularly to stay aligned with market data and internal equity.
  • and total rewards may vary by region.

Company info

  • What we're looking for
  • We work together, support one another, and take pride in being part of something that helps people.
  • We are hiring Warehouse Associates at our Riverside, California warehouse.
  • All successful candidates complete a background check as part of the hiring process.

Equal opportunity

  • A few final notes Fullscript is an equal opportunity employer.
  • equal opportunity employer.

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