Tempus AI, Inc.
Tempus AI, Inc.

Customer Support Representative I

TLDR

Assist clients, route requests, document interactions in Ambry systems, and attach incoming documents to corresponding cases.

Compensation:

$24.00





The goal of the Customer Support Representative I is to assist with client requests, direct clients to the proper department as needed, retrieve and document verbal or written authorizations, and attach incoming documents to corresponding cases. The Customer Support Representative I is still growing within the role and requires some supervision.

DUTIES AND RESPONSIBILITIES:

  • Provide support to clients in a timely and professional manner. 
  • Retrieve inbound requests through a minimum of one channel, respond to the client's needs, or direct them to the appropriate party.
  • Document client interaction within Ambry systems completely and thoroughly. Maintain follow-up work lists as assigned 
  • Review, identify, and process documents appropriately.
  • Understand frequently asked questions regarding Ambry products and processes, utilizing resources as needed.
  • Document client interaction within Ambry systems completely and thoroughly.

Demonstrates two or more of the following skills and abilities:

  • Organize and attach documents to its corresponding case. 
  • Real-time direct client communication. 
  • Inter-departmental communication and coordination.
  • Preliminary billing and insurance knowledge.
  • Communicate intermediate knowledge of Ambry products and systems to internal

EDUCATION AND KNOWLEDGE:

  • Possesses a high school diploma or higher (Bachelor's degree preferred, but not required)
  • Previous experience in health care or clinical laboratory preferred




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Equal Opportunity Employer


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Benefits

Remote-Friendly

Remote - California

Tempus AI, Inc. builds a proprietary platform that integrates real-world evidence with advanced diagnostics to deliver real-time, actionable insights to healthcare professionals. Our solutions empower physicians to make personalized treatment decisions, ultimately driving improved patient outcomes in the field of precision medicine.

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