Senior Technical Support Engineer - Swing Shift (PST)

radai; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Rad AI is seeking a Senior Technical Support Engineer to own complex, multi-system incidents across our Reporting platform, HL7 integration, and PACS environments. You will lead the incident response for high-severity events, coordinate with Engineering, and drive post-incident reviews to prevent recurrence.

The role requires deep Healthcare IT experience, strong debugging skills in Windows enterprise settings, and a track record of mentoring junior engineers while sustaining exceptional

Qualifications

• 6+ years in customer-facing technical roles (support engineering, TAM, solutions/implementation engineering) for enterprise SaaS.
• Healthcare IT depth: HL7 v2 messaging, interface engines, PACS/RIS or dictation workflows.
• Ability to debug web and desktop apps in large Windows enterprise environments, including logs, VPN, and SSO issues.

Responsibilities

• Serve as the senior technical escalation point for complex, multi-system issues across Reporting, HL7 layer, speech recognition, and Windows/PACS environments.
• Own high-visibility incidents: lead response for P1/P2, coordinate with on-call Eng, run bridges, deliver RCAs.

Skills

Escalation leadership

SaaS support

Healthcare IT

HL7 v2

PACS/RIS

Debugging Windows apps

Communication skills

Mentoring

SSO/Azure/Okta

Tools

Zendesk

Linear

Interlinx

Medplum

Job description

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 Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. 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. Most recently, Rad AI was named to CNBC's Disruptor 50 list, highlighting the innovation and momentum behind our mission. If you're ready to shape the future of healthcare, we'd love to have you on our team!

Why Join Us:

We're adding a Senior Technical Support Engineer to our Technical Support team during the fastest period of customer growth in Rad AI's history. You'll be the technical escalation point for a portfolio of enterprise health systems and radiology groups, own our most complex Reporting, Impressions and integration issues end to end, and help shape how a scaling support function runs: process, tooling, automation, and the next generation of TSEs.

What You'll Be Doing:

• Serve as the senior technical escalation point for complex, multi-system issues spanning our Reporting platform, HL7/integration layer (Interlinx, Medplum), speech recognition, and customer Windows/PACS environments, driving them to root cause rather than workaround.
• Own high-visibility customer incidents: lead the TS response during P1/P2 events, coordinate with Engineering on-call, run customer-facing bridges, and deliver post-incident reviews and RCAs on time.
• Lead technical support coverage for enterprise go-lives, including readiness reviews with Implementations, hypercare, and the handoff into steady-state support.
• Drive ticket quality and SLA attainment across the team through triage standards, escalation criteria, and Zendesk/Linear workflow design; identify volume drivers and work with Product and Engineering to eliminate them.
• Build and maintain runbooks, troubleshooting guides and Help Center content for new products and integrations; raise the technical floor of the team through mentoring, shadowing and ticket reviews.
• Partner with our automation and AI workstream to design, test and roll out triage, classification and self-service tooling that reduces manual ticket handling.
• Represent Technical Support in Engineering triage, incident review and release planning, bringing customer impact data to prioritization decisions.
• Participate in and help lead the on-call rotation, including occasional night/weekend coverage, and contribute to the design of 24/7 coverage as the team scales.

Who We're Looking For:

• Must be available to work West Coast hours, Sunday through Wednesday, with a shift running from 4:00 pm to 10:00 pm Pacific Time .
• 6+ years in customer-facing technical roles (support engineering, TAM, solutions/implementation engineering) supporting enterprise SaaS, with at least 2 years operating as a senior or lead escalation resource.
• Healthcare IT depth: hands-on experience with HL7 v2 messaging (ORU/ORM/ADT), interface engines, and PACS/RIS or dictation workflows in a radiology or hospital setting.
• Proven ability to debug web and desktop applications in complex Windows enterprise environments, including log analysis, network/VPN troubleshooting, and SSO/identity issues (SAML, Azure AD, Okta, ADFS).
• Stellar communication skills to partner with internal teams to provide clear updates and take customer-facing ownership during incidents.
• Experience mentoring or coaching support engineers and raising team performance without direct authority.
• Exceptional written and verbal communication with physicians, IT admins and executives, and composure under pressure with a high volume of open issues.
• Comfortable in a fast-moving startup where process is still being built; bias toward documenting and systematizing what you learn.

Nice to Haves:

• Experience with speech recognition or clinical documentation products.
• Scripting or querying skills (SQL, Python, PowerShell) for lo