Technical Support Engineer
AlphaSenseSalary not specified
- Full Time
- Junior (1 to 2 years)
$75,000 – $100,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries
Requirements
Candidates should possess at least three years of experience in customer-facing technical roles, such as technical support, technical account management, customer success, support engineering, or similar functions in software products. Experience in a radiology practice or a radiology-focused environment is preferred.
Responsibilities
The Customer Support Engineer will communicate effectively and empathetically with administrators and users to understand issues, provide technical guidance, and share status updates on open cases. They will also provide thought leadership on the support playbook by developing support processes and documentation for Rad AI products, working closely with customers and internal engineering teams to triage urgent issues and ensure SLA compliance. Furthermore, they will troubleshoot and debug web applications in a Windows environment, identifying and resolving software defects and performance bottlenecks, and collaborating with development and QA teams to provide timely feedback and recommendations for improving product reliability and performance. Finally, they will support the 24/7 customer base with on-call shifts including occasional night/weekend coverage.
Skills
Web Applications Troubleshooting
Debugging
Customer Communication
Technical Support
Support Process Development
Documentation
Performance Optimization
Collaboration with Engineering
Fast-paced Environment Adaptability
On-call Support
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$76.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees