Whatnot

Whatnot

IT Systems & Ops Engineer

Los Angeles, CA · Senior

Sponsorship not specifiedDetected 48 days ago
SpringOAuthJiraConfluenceProcess ImprovementOnboardingCustomer SupportZendeskVPNCiscoSD-WANCommunicationProblem SolvingAdaptability

About the role

  • We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.
  • They care more about outcomes than credit and stay close to the product and the people using it.

Responsibilities

  • Google Workspace administration including user management, groups, Drive administration, and security settings
  • Proven ability to meet and maintain SLAs in a support queue environment
  • Experience building automations in workflow tools (Okta Workflows, Zapier, Make, or similar iPaaS platforms)
  • macOS support expertise including troubleshooting, configuration, and user training
  • Strong written and verbal communication skills for user-facing support across all levels including executives
  • Work From Home Support

Requirements

  • Strong understanding of onboarding & offboarding processes with ability to translate business needs into technical requirements
  • Experience with MDM systems (Kandji, Jamf, Intune) and device compliance
  • Experience with Atlassian products (Jira, Confluence)

Skills

  • 🚀 Join the Future of Commerce with Whatnot!

Compensation

  • Annual allowance towards Childcare

Benefits

  • Prior work in fast-growing tech companies or startups
  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Home office setup allowance
  • Monthly allowance on both food and wellness
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave

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