ReadMe

ReadMe

Enterprise Support Engineer

Remote, US

Sponsorship not specifiedDetected 146 days ago
JavaScriptHTMLCSSGitCI/CDOAuthOpenAPICustomer SuccessCommunication

About the role

  • We're a small team of humans (and one owl http://owlbert.io/) working together to do big things - and that's where you come in.
  • If you've ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you've used ReadMe!
  • We love what we do because it's so much more than just documentation.

Requirements

  • You can confidently say "no" or reset expectations while preserving trust.

Skills

  • APIs and API debugging
  • Swagger / OpenAPI specifications
  • OAuth, SAML, and SSO authentication flows
  • Git and CI/CD troubleshooting
  • Front-end technologies (HTML, CSS, JavaScript)
  • Markdown
  • Chrome Developer Tools
  • CLI environments
  • npm packages and modern JavaScript ecosystems
  • Leveraging AI tools (e.g., Claude, ChatGPT) in debugging workflows - with strong judgment and verification
  • Diagnosing performance, configuration, and integration issues
  • Support Skills

Compensation

  • One-to-one donation matching of up to $1,000 per year. ๐Ÿ’ธ
  • Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. โœˆ๏ธ

Benefits

  • Unlimited PTO with a three-week minimum. ๐Ÿ–๏ธ
  • Fully covered medical, dental, and vision insurance for you, and 100% for your dependents. ๐Ÿฉบ
  • A One Medical membership. ๐Ÿง‘โ€โš•๏ธ
  • A gym or fitness stipend of up to $150 per month. ๐Ÿ‹๏ธโ€โ™€๏ธ
  • Twelve weeks of paid parental leave after the birth or adoption of a child. ๐Ÿฃ
  • Take a look at our handbook https://readme-external-handbook.readme.io/docs/getting-started for more information on our benefits! ๐Ÿ“˜

Company info

  • At ReadMe, we're committed to cultivating a diverse and inclusive workplace.

Equal opportunity

  • We are an equal opportunity employer and a pleasant and supportive place to work.

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