Rad AI Visa Sponsorship Jobs USA
Rad AI is an AI-powered radiology technology company that has sponsored H-1B visas for specialized technical and research talent. For international job seekers in biotech and healthcare AI, Rad AI represents a focused sponsor with a track record in high-skill immigration.
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Get Access To All JobsABOUT 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!
HERE’S WHAT YOU’LL BE DOING
You’ll be the technical backbone of our pre‑sales motion, making it simple for radiology groups and health systems to understand how Rad AI fits into their infrastructure, security posture, and clinical workflows. You’ll own the first pass on technical questionnaires and RFPs, orchestrate input from Security, Product, and Engineering, and build the reusable content that makes every next deal easier than the last.
Day to day, you’ll partner closely with Sales Executives to guide opportunities from early discovery through technical validation. You’ll surface workflow constraints and integration requirements early, document assumptions clearly, and help set up deployments for success before contracts are even signed. Along the way, you’ll keep learning—about PACS, RIS, EHRs, AI in imaging, and the realities of enterprise healthcare IT—and you’ll feed that learning back into how we sell.
In addition, you will:
- Own the first pass on technical and security questionnaires, using internal tools and playbooks and pulling in the right experts at the right time.
- Draft technical sections of RFIs and RFPs, maintaining and improving a central repository of standard answers, security positions, and AI governance language.
- Anticipate and address common technical objections—around HIPAA, SOC 2, data flows, and integrations—so customers feel confident moving forward.
- Support discovery and demo prep by documenting workflow requirements, architecture diagrams, and implementation assumptions for each strategic opportunity.
- Help design and refine demo environments, scripts, and technical enablement materials that make our products and integrations feel tangible for radiologists and IT.
YOU NEED THESE QUALIFICATIONS
- You have 3+ years of experience in a sales engineering, technical pre‑sales, or technical support role working with enterprise software.
- You have hands-on experience supporting healthcare IT or other highly regulated enterprise environments (e.g., health systems, radiology groups, or clinical SaaS).
- You communicate complex technical concepts clearly to both technical and non‑technical stakeholders—radiologists, clinical leaders, and hospital IT alike.
- You write precise, accurate technical documentation and proposal content, and you care about details in every answer you send to a customer.
- You understand core security and compliance concepts such as HIPAA in cloud-based solutions and are comfortable learning and representing a SOC 2–aligned posture.
IT WOULD BE NICE IF
- You’ve worked with radiology or imaging workflows (PACS, RIS, dictation/reporting systems) or with radiology IT vendors.
- You’re familiar with healthcare interoperability standards like HL7, FHIR, and DICOM, and have seen how they show up in real integrations.
- You’ve supported API-based integrations or data pipelines and enjoy mapping how systems talk to each other.
- You have exposure to AI/ML applications in medical imaging or clinical documentation and are excited to go deeper.
- You’ve worked in a high‑growth startup and enjoy bringing structure to fast‑moving, ambiguous situations.
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
- 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.
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!
HERE’S WHAT YOU’LL BE DOING
You’ll be the technical backbone of our pre‑sales motion, making it simple for radiology groups and health systems to understand how Rad AI fits into their infrastructure, security posture, and clinical workflows. You’ll own the first pass on technical questionnaires and RFPs, orchestrate input from Security, Product, and Engineering, and build the reusable content that makes every next deal easier than the last.
Day to day, you’ll partner closely with Sales Executives to guide opportunities from early discovery through technical validation. You’ll surface workflow constraints and integration requirements early, document assumptions clearly, and help set up deployments for success before contracts are even signed. Along the way, you’ll keep learning—about PACS, RIS, EHRs, AI in imaging, and the realities of enterprise healthcare IT—and you’ll feed that learning back into how we sell.
In addition, you will:
- Own the first pass on technical and security questionnaires, using internal tools and playbooks and pulling in the right experts at the right time.
- Draft technical sections of RFIs and RFPs, maintaining and improving a central repository of standard answers, security positions, and AI governance language.
- Anticipate and address common technical objections—around HIPAA, SOC 2, data flows, and integrations—so customers feel confident moving forward.
- Support discovery and demo prep by documenting workflow requirements, architecture diagrams, and implementation assumptions for each strategic opportunity.
- Help design and refine demo environments, scripts, and technical enablement materials that make our products and integrations feel tangible for radiologists and IT.
YOU NEED THESE QUALIFICATIONS
- You have 3+ years of experience in a sales engineering, technical pre‑sales, or technical support role working with enterprise software.
- You have hands-on experience supporting healthcare IT or other highly regulated enterprise environments (e.g., health systems, radiology groups, or clinical SaaS).
- You communicate complex technical concepts clearly to both technical and non‑technical stakeholders—radiologists, clinical leaders, and hospital IT alike.
- You write precise, accurate technical documentation and proposal content, and you care about details in every answer you send to a customer.
- You understand core security and compliance concepts such as HIPAA in cloud-based solutions and are comfortable learning and representing a SOC 2–aligned posture.
IT WOULD BE NICE IF
- You’ve worked with radiology or imaging workflows (PACS, RIS, dictation/reporting systems) or with radiology IT vendors.
- You’re familiar with healthcare interoperability standards like HL7, FHIR, and DICOM, and have seen how they show up in real integrations.
- You’ve supported API-based integrations or data pipelines and enjoy mapping how systems talk to each other.
- You have exposure to AI/ML applications in medical imaging or clinical documentation and are excited to go deeper.
- You’ve worked in a high‑growth startup and enjoy bringing structure to fast‑moving, ambiguous situations.
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
- 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.
Job Roles at Rad AI
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Get Access To All JobsTips for Finding Rad AI Visa Sponsorship Jobs USA
Target roles at the intersection of AI and radiology
Rad AI's sponsorship activity centers on specialized technical roles in machine learning, medical imaging, and clinical AI. Focus your application on positions that directly support their core radiology AI platform for the strongest sponsorship case.
Understand the biotech and healthtech hiring pace
Biotechnology and healthtech companies like Rad AI often hire on project-driven timelines. Engage with their recruiting team early, since roles can open and close quickly around product development cycles and clinical deployment milestones.
Emphasize domain expertise in your application
Rad AI operates at a niche crossroads of radiology and artificial intelligence. Candidates with backgrounds in medical imaging, clinical informatics, or applied machine learning stand out most when H-1B sponsorship is part of the conversation.
Use Migrate Mate to verify Rad AI's sponsorship history
Before applying, confirm which roles have a genuine sponsorship track record. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and prioritize Rad AI positions where visa support has actually been offered.
Prepare for a technical and mission-driven interview process
Rad AI evaluates candidates on both technical depth and alignment with their healthcare AI mission. Demonstrating familiarity with radiology workflows and clinical AI challenges signals you'll contribute quickly, which matters when an employer is committing to sponsorship.
Set up alerts for Rad AI openings as the company grows
As a scaling biotech AI company, Rad AI's hiring activity can increase significantly with funding rounds or product expansion. Monitoring their open roles consistently improves your chances of applying when H-1B sponsorship eligible positions become available.
Rad AI jobs are hiring across the US. Find yours.
Find Rad AI JobsFrequently Asked Questions
Does Rad AI sponsor H-1B visas?
Yes, Rad AI sponsors H-1B visas for qualified international candidates. Their sponsorship activity is concentrated in specialized technical and scientific roles that align with their radiology AI platform. If you're targeting Rad AI, focus on positions in software engineering, machine learning, or clinical data science where H-1B sponsorship has historically been offered.
What types of roles at Rad AI are most likely to receive visa sponsorship?
Rad AI's sponsored positions tend to cluster around roles requiring specialized expertise in artificial intelligence, medical imaging, and software engineering. Given their biotech and healthtech focus, candidates with backgrounds in clinical data, applied ML, or radiology informatics are most likely to be considered for H-1B sponsorship. General business and operations roles are less commonly sponsored.
How do I find open visa-sponsored jobs at Rad AI?
Migrate Mate is the most reliable way to find verified visa-sponsored roles at Rad AI. Rather than sifting through job listings that don't disclose sponsorship, Migrate Mate filters specifically for companies with a confirmed sponsorship track record, so you can apply to Rad AI positions with confidence that international candidates are genuinely considered.
What is Rad AI's general approach to sponsoring international employees?
Rad AI has demonstrated a willingness to sponsor H-1B visas for high-skill technical talent, which is consistent with how specialized healthtech and biotech companies typically compete for a narrow pool of qualified candidates. Their sponsorship is selective and tied closely to roles where deep domain expertise is required, rather than broad company-wide hiring initiatives.
How do I strengthen my application to Rad AI as an H-1B applicant?
Lead with technical depth and domain relevance. Rad AI sits at a specialized intersection of radiology and AI, so candidates who demonstrate fluency with medical imaging systems, clinical workflows, or healthcare machine learning are better positioned. Be direct with their recruiting team about your visa situation early in the process, and be prepared to show how your expertise directly supports their product roadmap.
See which Rad AI employers are hiring and sponsoring visas right now.
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