Fresh Prints

Customer Support Agent

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

About the Client (Parsel)

Parsel is a logistics and operations platform designed to simplify and optimize supply chain processes. By leveraging advanced technology and customer-centric solutions, Parsel streamlines order management, enhances customer service, and ensures efficient delivery operations. Their commitment to operational excellence drives innovation in the logistics sector, providing clients with seamless and reliable services.

About the Role

As a Level 1 Customer Support Agent at Parsel, you'll serve as the frontline executor of customer communication and predefined exception workflows. Your primary mission is to prevent escalations by resolving delivery issues correctly, quickly, and consistently at first contact. This role is central to Parsel's No Package Left Behind (NPLB) initiative — our commitment to achieving 99.5% delivery reliability.

This role executes policy — it does not define it.

Key Responsibilities

Handle inbound end-customer delivery tickets with professionalism and urgency

Execute predefined exception workflows including ghost shipments, stalled/in-transit delays, delivered not received, and more

Communicate shipment status, next steps, and expectations clearly and consistently to customers

Escalate issues as required / needed

Log outcomes accurately to support tracking visibility and reporting

Performance Metrics

First Response Time (FRT): < 5 minutes during business hours

SLA Adherence: > 95%

CSAT: > 4.5 / 5

Qualifications

2+ years of customer support experience, preferably in logistics, e-commerce, or SaaS

Strong written communication skills with ability to convey complex information clearly

Comfort working with ticketing systems and following structured workflows

Attention to detail and commitment to accurate documentation

Ability to remain calm and solution-oriented under pressure

Empathy for customers experiencing delivery issues

Shift & Schedule

Working hours: 10:00 AM – 7:00 PM EST (includes a one-hour lunch break)

Working days: This is a weekend-inclusive role. You will work weekends (Saturday and Sunday) as part of your regular schedule, with Wednesday and Thursday as your weekly off days.

Holiday Peak Season (Nov–Dec): May require alternative shift coverage with advance notice.

Coverage flexibility: Occasional shift adjustments may be requested with notice to support team coverage needs.

Compensation and Benefits

Competitive salary based on experience.

Opportunities for professional growth and career advancement.

Collaborative and dynamic work environment.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Customer Service Data Analysis Operations Writing remote

Likely questions

  1. Tell us about work you have done that is close to the Customer Support Agent role.
  2. How would you approach your first 30 days at Fresh Prints?
  3. Which of Customer Service, Data Analysis and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Customer Service, Data Analysis and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Customer Support Agent role because I can bring practical experience in Customer Service, Data Analysis and Operations, learn the team quickly, and contribute to the outcomes Fresh Prints needs from this hire.

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