Full-Time

IT Support Engineer

Posted on 11/27/2024

Rad AI

Rad AI

51-200 employees

AI-driven software for radiology workflows

No salary listed

Mid, Senior

No H1B Sponsorship

Remote in USA

Applicants must be legally authorized to work in the United States without employer sponsorship.

Category
IT Support
IT & Security
Requirements
  • 4+ years of experience in IT support, helpdesk, or a similar role.
  • Degree in Information Technology, Computer Science, or related field, or equivalent practical experience.
  • Proficiency in troubleshooting hardware and software issues on both macOS and Windows.
  • Experience with SaaS platforms and tools such as Google Workspace, Okta, and Slack, or similar.
  • Basic understanding of networking principles, including end-user connectivity, WiFi, and VPNs.
  • Ability to participate in an on-call schedule that may include after-hours and weekend support.
  • Must be willing to work standard East Coast hours.
  • Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.
Responsibilities
  • Prepare and manage IT tasks related to onboarding and offboarding employees.
  • Configure and deploy laptops and peripherals for new employees.
  • Provide technical support to new hires during their onboarding period.
  • Track and maintain inventory of IT equipment, including replacements and returns.
  • Create and update knowledge base articles, guides, and IT process documentation.
  • Assist with day-to-day operations as needed to maintain smooth operations.
  • Assist in managing and maintaining SaaS IT platforms such as Okta, JumpCloud, and Google Workspace.
  • Serve as backup for the Cybersecurity team for areas of incident response, and troubleshooting using tools like Zscaler, CrowdStrike, and more.
  • Address account access issues, password resets, hardware troubleshooting, and basic connectivity issues.
  • Provide remote support via video conference.
  • Manage ticket triage, documentation, and resolution.
  • Escalate complex issues to appropriate teams when necessary.
  • Troubleshoot software and hardware issues and resolve intermediate network problems like VPN and WiFi connectivity.
  • Administer SaaS tools like Google Workspace and Okta.
  • Diagnose and resolve root cause issues impacting IT systems or tools.
  • Help the Senior IT Manager conduct system administration of our SaaS platforms.
  • Participate in testing and rollouts of new technology.
  • Occasionally collaborate with developers, vendors, or system architects to resolve critical issues involving our SaaS platforms and engineering initiatives.
  • Conduct root cause analysis and propose long-term solutions.
  • Develop Tier 0 documentation for self-service IT support.
Desired Qualifications
  • Relevant IT certifications (e.g., CompTIA A+, Network+, Microsoft 365 Certified).
  • Experience working in a fast-growing startup environment.
  • Demonstrated ability to identify and implement IT process improvements.
  • Experience creating technical documentation or user guides.

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in medical imaging. Its main product, Omni Reporting, automates routine tasks and ensures follow-up on incidental findings, making reporting more accurate for radiologists. Unlike competitors, Rad AI focuses specifically on integrating AI into existing radiology practices, providing a subscription-based model that allows for continuous software updates. The company's goal is to streamline healthcare processes while maintaining high standards of data security and patient privacy, as evidenced by its SOC 2 Type II and HIPAA certifications.

Company Size

51-200

Company Stage

Series C

Total Funding

$139M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Rad AI raised $60M Series C, accelerating global AI technology deployment.
  • Rad AI's collaboration with AGFA HealthCare enhances radiology workflow efficiency.
  • Rad AI's software increased radiograph efficiency by 48% at Radiology Associates of North Texas.

What critics are saying

  • Increased competition from AI-driven radiology platforms like Aidoc and Zebra Medical Vision.
  • Potential over-reliance on AI could degrade radiologists' skills.
  • Rapid AI development may outpace regulatory frameworks, causing compliance challenges.

What makes Rad AI unique

  • Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.
  • Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.
  • Rad AI's proprietary LLMs automate radiology report documentation, leading in AI-driven healthcare.

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Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

2%

2 year growth

-3%
Intelligence360
Feb 6th, 2025
Rad AI Secures $60M Series C Funding

Rad AI has closed a $60 million Series C funding round, led by Transformation Capital, valuing the company at $525 million. This investment will accelerate the development and deployment of Rad AI's generative AI technology for healthcare providers globally. Rad AI's solutions, including Rad AI Reporting and Rad AI Continuity, aim to improve radiologist efficiency, reduce burnout, and enhance patient care. The company has raised over $140 million to date and is expanding its team.

Best of AI
Jan 27th, 2025
Healthcare startup Rad AI has raised a new round of funding from Transformation Capital at a $525 million valuation

Rad AI, a healthcare startup founded in 2018, recently raised $60 million in a Series C funding round led by Transformation Capital, valuing the company at $525 million, as it continues to develop AI-powered tools to automate tasks for radiologists and reduce burnout.

Business Insider
Jan 24th, 2025
Rad AI raises $60M at $525M valuation

Rad AI, a healthcare startup, raised a Series C funding round led by Transformation Capital, valuing the company at $525 million. The round brought in about $60 million. This follows a $50 million Series B led by Khosla Ventures in May 2024. Rad AI, founded in 2018, uses generative AI to automate tasks for radiologists. The company is working with nearly half of all US health systems and 9 of the 10 largest radiology practices.

PR Newswire
Dec 2nd, 2024
Agfa Healthcare And Rad Ai Announce Strategic Collaboration To Enhance Radiology Workflows

Collaboration addresses longstanding inefficiencies in radiology workflow, as well as reducing burnout and empowering radiologists to focus on what truly matters - "staying in the flow". CHICAGO, Dec. 2, 2024 /PRNewswire/ -- AGFA HealthCare and Rad AI are announcing a strategic collaboration to enhance radiology workflows. Building on its leadership in Enterprise Imaging, AGFA HealthCare is raising the bar with Rad AI Reporting and FHIRcast integration. These cutting-edge solutions, powered by AI-driven reporting, enable radiologists to work faster, smarter, and with greater precision. By addressing critical workflow inefficiencies, AGFA HealthCare and Rad AI are not just setting the industry standard in data exchange and interoperability — they are shaping the future of radiology

PR Newswire
Dec 1st, 2024
Rad Ai Reporting Revolutionizes Radiology: 48% Increase In Efficiency At One Of The Nation'S Largest Private Practices

AI-driven innovation increases radiograph efficiency by 48%, improves overall productivity by 25%, and alleviates radiologist fatigue. CHICAGO, Dec. 1, 2024 /PRNewswire/ -- Radiology Associates of North Texas (RANT), the largest private radiology practice in Texas and one of the largest in the nation, is transforming its operations with Rad AI Reporting, achieving a 48% increase in radiograph reporting efficiency and a 25% increase in overall hourly RVU productivity. These impressive results highlight Rad AI's longstanding leadership in generative AI. "It's incredible that Rad AI Reporting won AuntMinnie's 'Best New Radiology Software' recognition at last year's RSNA, and now, in 2024, we are already demonstrating transformational results as we deploy Rad AI Reporting to radiology groups nationwide," said Josh Duncan, Senior Vice President of Sales, Marketing, Customer Success. "The feedback and outcomes from RANT showcase why Rad AI Reporting is the fastest-commercialized software in radiology history."

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