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Customer Support Engineer

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed $60M Series C round led by Transformation Capital, bringing our valuation to $525M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us:

We are looking to expand our team with an additional Customer Support Engineer. This is an exciting opportunity to join us during a period of rapid growth and contribute to delivering top-tier technical customer service for our expanding product portfolio and our growing community of physician users across the United States.

What You’ll Be Doing:

  • Communicate effectively and empathetically with admins and users to understand issues, provide technical guidance, and share status updates on open cases.

  • Provide thought leadership on our support playbook by developing support processes and documentation for Rad AI products.

  • Work closely with customers and internal engineering teams to triage urgent issues and ensure SLA compliance.

  • Troubleshoot and debug web applications in a Windows environment, identifying and resolving software defects and performance bottlenecks.

  • Collaborate with development and QA teams to provide timely feedback and recommendations for improving product reliability and performance.

  • Adapt and thrive in a fast-paced startup environment with a willingness to learn new technologies.

  • Support our 24/7 customer base with on-call shifts including occasional night/weekend coverage

Who We're Looking For:

  • 3+ 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 tech company.

  • Exceptional written and verbal communication skills with strong interpersonal abilities.

  • Proven experience in remotely supporting enterprise SaaS applications within a complex Windows environment.

  • Ability to manage multiple open issues effectively, maintaining high quality and composure under pressure.

  • Demonstrated ability to learn and implement new tools, applications, or cloud-based platforms to enhance operational efficiency.

  • Familiarity with customer support systems such as Linear, Zendesk, or similar platforms.

  • Available to work Pacific or Mountain Time Zone business hours. 

Nice to Haves:

  • Knowledge of Active Directory and Single Sign-On technologies such as SAML, ADFS, Azure AD, and Okta.

  • Understanding of HL7 standards.

  • Experience troubleshooting VPN and other networking issues.

  • Familiarity with speech recognition technology.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

  • Comprehensive Medical, Dental, Vision & Life insurance

  • HSA (with employer match), FSA, & DCFSA 

  • 401(k)

  • 11 Paid Company Holidays

  • Location Flexibility (Remote-first company!)

  • Flexible PTO policy

  • Annual company-wide offsite

  • Periodic team offsites

  • Annual equipment stipend

  • For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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What You Should Know About Customer Support Engineer, Rad AI

At Rad AI, we're excited to invite a dynamic Customer Support Engineer to join our talented team! Our mission to redefine healthcare through artificial intelligence is well underway, and we need someone like you to help us deliver exceptional technical support to our growing community of physician users across the U.S. As a Customer Support Engineer, you'll play a key role in communicating effectively and empathetically with our clients, helping them understand and resolve complex issues with our innovative AI-driven solutions. You’ll have the opportunity to develop support processes and documentation, troubleshoot web applications in a Windows environment, and collaborate closely with our dedicated engineering and QA teams. In this fast-paced startup environment, your adaptability and eagerness to learn new technologies will shine. We value strong interpersonal skills, so your ability to manage multiple issues while maintaining composure will be essential. With over 3 years of experience in customer-facing technical roles, especially within a radiology setting or tech company, you'll be perfectly positioned to thrive here. If you're passionate about driving innovation in healthcare and want to make a real impact with cutting-edge AI, Rad AI could be your next great adventure!

Frequently Asked Questions (FAQs) for Customer Support Engineer Role at Rad AI
What are the main responsibilities of a Customer Support Engineer at Rad AI?

The Customer Support Engineer at Rad AI is responsible for effectively communicating with admins and users to offer technical guidance, crafting and maintaining support documentation, triaging urgent issues, and troubleshooting web applications in a Windows environment. You'll be ensuring that customer needs are met and collaborating with engineering teams to improve product reliability.

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What qualifications do I need to become a Customer Support Engineer for Rad AI?

To qualify for the Customer Support Engineer role at Rad AI, candidates should have at least 3 years of experience in customer-facing technical roles like technical support or customer success. Additionally, experience within a radiology-focused tech company, strong communication skills, and familiarity with enterprise SaaS applications are essential for success in this position.

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Is customer support required to work nights or weekends at Rad AI?

Yes, as a Customer Support Engineer at Rad AI, you'll support a 24/7 customer base and may be required to take on-call shifts, including occasional nights and weekends, to ensure clients always have access to the help they need.

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What tools and technologies does a Customer Support Engineer at Rad AI use?

A Customer Support Engineer at Rad AI uses various tools to provide support, such as customer support systems like Linear or Zendesk. Familiarity with technologies like Active Directory, SAML, Azure AD, and troubleshooting VPN issues also plays a crucial role in the support scope.

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What is the company culture like at Rad AI for Customer Support Engineers?

Rad AI fosters a collaborative and inclusive culture where employees are encouraged to drive innovation and make a meaningful impact in healthcare. We highly value transparency, teamwork, and a shared mission of improving patient care through cutting-edge AI technologies.

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Common Interview Questions for Customer Support Engineer
How do you prioritize multiple customer issues as a Customer Support Engineer?

When prioritizing multiple issues, it's essential to assess the urgency and impact of each problem. Focus on resolving issues that significantly affect customer operations first, while keeping clients informed about the status of their requests to ensure they feel supported throughout the process.

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Can you describe a time you resolved a technical issue for a customer?

Certainly! In a previous role, I handled a situation where a client was facing software performance issues. I engaged with them to gather detailed information, replicated the issue, and worked with the engineering team to develop a timely fix. After the resolution, I followed up with the customer to ensure their satisfaction.

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What experience do you have working with remote support applications?

I've handled various enterprise SaaS applications remotely, using tools like Zendesk and Linear. I believe leveraging these platforms effectively enhances customer support by allowing for organized tracking and efficient communication, which is critical in a remote setting.

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How do you handle difficult customer interactions?

In difficult customer interactions, I focus on empathy and active listening to understand their concerns. Remaining calm and professional is crucial, and I strive to offer clear solutions or at least next steps while ensuring the customer feels heard and valued.

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What strategies do you employ when troubleshooting web applications?

I employ a systematic troubleshooting approach, starting from gathering complete details on the issue. I check logs, replicate the problem, and consult documentation to identify potential causes. Collaboration with team members also helps in brainstorming solutions effectively.

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How familiar are you with medical imaging software?

While I may not have direct experience with all medical imaging software, I have a solid understanding of radiology practices. I’m adaptable and am constantly eager to learn new technologies associated with healthcare to provide the best support possible.

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What makes you a good fit for the Customer Support Engineer role at Rad AI?

I'm passionate about healthcare technology and bring over three years of experience in customer-facing technical roles. My strong communication skills, technical proficiency, and commitment to exceptional service make me a perfect fit for Rad AI's mission to improve patient care with AI.

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How do you keep yourself updated with the latest advancements in technology?

I regularly follow industry news, attend webinars, and participate in online forums to stay informed on the latest advancements. Additionally, I take online courses when available to deepen my knowledge of emerging technology relevant to customer support.

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What is your experience with support documentation?

In my past roles, I have been responsible for developing and maintaining support documentation. I believe it is vital to have thorough documentation as it enhances the support process and helps both users and future support team members.

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How would you explain a complex technical issue to a non-technical customer?

When explaining a complex issue to a non-technical customer, I simplify the jargon and break down the problem into understandable parts. I focus on analogies or relatable scenarios while ensuring they grasp the resolution steps and how it affects their experience.

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Our mission is to empower radiologists with AI — saving radiologists time, reducing burnout, and helping to improve the quality of patient care.

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DATE POSTED
April 12, 2025

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