Support Operations Specialist — Data-Driven Process Optimizer

Pattern

Lehi (UT)

Vor Ort

USD 52.000 - 78.000

Vollzeit

Vor 12 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Unlimited PTO
Paid Holidays
Onsite Fitness Center
Company Paid Life Insurance
Casual Dress Code
Competitive Pay
Health, Vision, and Dental Insurance
401(k) match

Zusammenfassung

Pattern is seeking a Customer Support Operations Specialist to join our growing team in Utah. You will manage a queue of SaaS support tickets, help the core CS team with process and tooling questions, and drive improvements to workflows, SOPs, and knowledge bases.

This is a hands-on role focused on making our support operations faster, cleaner, and more scalable. You will use data to identify bottlenecks, track metrics, and partner withTechnical Support, Product, and Engineering to resolve

Qualifikationen

  • 1+ years in SaaS or customer support operations.
  • Strong troubleshooting and root-cause analysis.
  • Experience with ticketing tools and data analysis.
  • Clear written communication.

Aufgaben

  • Handle assigned SaaS support tickets and resolve issues within SLA.
  • Support the core CS team by answering process and tooling questions and covering escalations.
  • Identify bottlenecks in core support processes and propose, test, and roll out improvements.
  • Build, maintain, and standardize SOPs, macros, and knowledge base articles.

Kenntnisse

Zendesk
Ticketing
Data analysis
Communication

Ausbildung

Bachelor’s degree or equivalent experience

Tools

ClickUp
Asana
Excel

Jobbeschreibung

Pattern is seeking a Customer Support Operations Specialist to join our growing team in Utah. You will manage a queue of SaaS support tickets, help the core CS team with process and tooling questions, and drive improvements to workflows, SOPs, and knowledge bases.

This is a hands-on role focused on making our support operations faster, cleaner, and more scalable. You will use data to identify bottlenecks, track metrics, and partner withTechnical Support, Product, and Engineering to resolve

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