Sift

Customer Support Specialist

Remote - USA. Posted today

The role

You will troubleshoot and resolve issues across Sift's Digital Trust & Safety products. You will respond to customer inquiries, document cases, and contribute to the internal knowledge base.

What you will do

  • Answer incoming support tickets and questions via support channels.
  • Diagnose common issues in Sift's platform using documentation and escalation paths.
  • Keep clear, accurate records of customer issues and resolutions in support tools.
  • Escalate issues to the right teammate or team when beyond current scope.
  • Identify gaps in internal documentation and contribute notes or suggested edits.
  • Develop a working understanding of Sift's product and the fraud landscape.

Required qualifications

  • 1–3 years of experience in a customer-facing support, service, or help-desk role, or equivalent practical experience
  • Strong written communication skills
  • Comfortable learning new software tools and systems quickly
  • Experience leveraging AI/LLM tools for day-to-day work
  • General fluency with AI-assisted workflows
  • A genuine curiosity about how things work
  • A willingness to ask for help when you need it

Nice to have

  • Bachelor's degree in a relevant field, or equivalent practical experience
  • Experience with support ticketing tools (e.g., Zendesk, Salesforce)
  • Exposure to SaaS products or basic familiarity with APIs and SQL
  • Interest in fraud, payments, or trust & safety

Benefits

  • Competitive total compensation package
  • 401k plan
  • Medical, dental and vision coverage
  • Flexible lifestyle wallet
  • Learning & development reimbursement
  • Flexible time off
  • Company Mental Health Days

Before you apply

  • Recruiter conversation: 30–45 minutes
  • Hiring manager screen: 30–45 minutes
  • Interview loop covering a customer scenario walkthrough, written communication exercise, and values & behavior

About the company

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. The company uses machine learning and user identity to empower more than 700 customers.