Technical Support Engineer

United States

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$75,000 – $100,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should have 3+ years of experience in customer-facing technical roles, such as technical support or customer success, preferably within a radiology practice or radiology-focused tech company. Proven experience remotely supporting enterprise SaaS applications in a complex Windows environment is required, along with familiarity with customer support systems. Knowledge of Active Directory, Single Sign-On technologies (SAML, ADFS, Azure AD, Okta), HL7 standards, VPN troubleshooting, and speech recognition technology are considered advantageous. Availability to work Pacific or Mountain Time Zone business hours is also necessary.

Responsibilities

The Technical Support Engineer will communicate effectively with users to understand and resolve technical issues, providing guidance and status updates. They will develop support processes and documentation for Rad AI products, acting as a thought leader for the support playbook. Responsibilities include triaging urgent issues, ensuring SLA compliance, troubleshooting and debugging web applications in a Windows environment, and identifying software defects. Collaboration with development and QA teams to improve product reliability and performance is key, as is adapting to a fast-paced startup environment and supporting a 24/7 customer base with on-call shifts.

Skills

Technical Support

Customer Support

Healthcare AI

Radiology AI

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees