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Rad Ai Jobs (NOW HIRING)

Product Manager, SDK

San Francisco, CA ยท On-site

$180K - $210K/yr

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 ...

Head of Product

San Francisco, CA ยท On-site

$182K - $224K/yr

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 ...

Product Lead, Orchestration

San Francisco, CA ยท On-site

$210K - $235K/yr

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 ...

Data Engineer

San Francisco, CA ยท On-site

$145K - $190K/yr

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 ...

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 ...

Recruiter

San Francisco, CA ยท On-site

$140K - $160K/yr

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 ...

Staff ML Research Scientist

San Francisco, CA ยท On-site

$190K - $260K/yr

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 ...

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 ...

Senior Engineering Manager

San Francisco, CA ยท On-site

$215K - $240K/yr

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 ...

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Rad Ai information

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$15

$46

$74

How much do rad ai jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for rad ai in the United States is $46.11, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $57.69 per hour, depending on experience, location, and employer.

What is the difference between Rad Ai vs Data Analyst?

AspectRad AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data processingRequires statistical, analytical, and data visualization skills, often with a degree in related fields
Work EnvironmentTech-focused, often in AI development teams or R&D departmentsBusiness or corporate settings, analyzing data to inform decisions
Industry UsagePrimarily in AI, machine learning, and tech companiesAcross various industries including finance, healthcare, marketing
Common Search/ComparisonYesYes

Rad Ai professionals focus on developing and implementing AI solutions, requiring technical skills in AI tools and programming. Data Analysts interpret data to support business decisions, often with statistical expertise. While both roles work with data, Rad Ai roles are more technical and AI-centric, whereas Data Analysts focus on data interpretation and reporting.

How does a Rad AI professional typically collaborate with radiologists and other healthcare staff?

Professionals working in Rad AI frequently collaborate with radiologists, medical technologists, and IT staff to ensure that AI solutions are seamlessly integrated into clinical workflows. This involves gathering feedback from radiologists to refine algorithms, troubleshooting technical issues, and providing training or support for new tools. Effective communication is essential, as Rad AI professionals help translate technical developments into practical applications that enhance patient care and diagnostic accuracy.

What are the key skills and qualifications needed to thrive as a Rad AI professional?

To thrive as a Radiology AI Specialist, you need a strong background in medical imaging, computer science, and data analysis, often supported by a degree in a relevant field and experience with radiology workflows. Proficiency with machine learning frameworks (like TensorFlow or PyTorch), medical imaging software (such as PACS), and familiarity with regulatory standards are typically required. Strong problem-solving skills, attention to detail, and effective communication set top candidates apart in this field. These skills are critical for developing accurate, reliable AI solutions that enhance diagnostic workflows and ensure patient safety in healthcare environments.

What is a Rad AI?

Rad AI jobs refer to positions at Rad AI, a healthcare technology company that leverages artificial intelligence to support radiologists and improve patient care. Employees at Rad AI work in various roles such as software engineering, data science, clinical operations, and sales to develop and implement AI-driven solutions in radiology workflows. These roles typically require a background in healthcare, technology, or both, and often involve collaborating with medical professionals to ensure that AI tools are accurate, safe, and effective. Working at Rad AI offers opportunities to contribute to innovative projects that aim to enhance diagnostic accuracy and efficiency in medical imaging.
More about Rad Ai jobs
What cities are hiring for Rad Ai jobs? Cities with the most Rad Ai job openings:
What are the most commonly searched types of Rad Ai jobs? The most popular types of Rad Ai jobs are:
What states have the most Rad Ai jobs? States with the most job openings for Rad Ai jobs include:
Infographic showing various Rad Ai job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $95,899 per year, or $46.1 per hour.

Product Manager, SDK

Rad AI

San Francisco, CA โ€ข On-site

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


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!
About the SDK and DICOM Routing
DICOM is the standard for moving medical images across the imaging stack-between modalities, PACS, viewing workstations, AI services, and downstream reporting systems. How well that flow is orchestrated determines whether AI can be deployed reliably at scale: which studies get routed where, how outputs come back, and how everything stays in sync with the radiologist's workflow. DICOM routing is the plumbing that makes the rest of the platform possible.
The Rad AI SDK is how partners across the imaging ecosystem-AI vendors, modality and PACS providers, reporting and workflow tools, and downstream care systems-plug into that platform. It is the surface where partner-generated content (preliminary reports, findings, measurements, worklist signals, and more) flows into the radiologist's reporting experience, and where partners can consume the routing, orchestration, and reporting capabilities Rad AI exposes. A well-designed SDK turns Rad AI Orchestration from an internal platform into an open ecosystem.
Together, DICOM routing and the SDK form the connective layer that makes Rad AI's broader platform real: routing standardizes how images and AI outputs move, and the SDK standardizes how partners build on top of it.
The Role
This is a high-priority role with tight timelines. We need a Product Manager who can move quickly, work cross-functionally, and connect technical execution with a broader commercial and platform strategy.
You will own product planning and execution for the Rad AI SDK and the DICOM routing capabilities it exposes to partners. You'll define the developer experience, the integration patterns, and the routing workflows that let ecosystem partners build on Rad AI's platform. You'll partner deeply with engineering on the technical foundations, and with leadership on how this work supports a credible RSNA story and a broader platform narrative.
Here's what you'll be doing:
  • Own the roadmap and execution for the Rad AI SDK and DICOM routing product initiatives, end-to-end.
  • Define the developer experience for partners building on Rad AI-APIs, SDK surfaces, documentation, onboarding flows, and the integration patterns that make adoption straightforward.
  • Drive requirements and delivery for image routing, orchestration workflows, and the routing primitives exposed through the SDK.
  • Start from what we already have-work with engineering and technical stakeholders to evaluate existing infrastructure and integration patterns instead of reinventing from scratch.
  • Lead partner integrations across the ecosystem (AI vendors, modality/PACS providers, reporting tools, downstream care systems), making sure partners can ship integrations quickly and reliably.
  • Bring partner-generated content-preliminary reports, findings, measurements, and other outputs-into the product in a way that is easy for customers to evaluate and adopt.
  • Drive clear scope, sequencing, owners, and milestones toward a credible RSNA story and launch plan.
  • Partner with leadership to ensure product decisions support the broader platform and commercialization narrative.
You're the right person for this role if:
  • You are a product manager with experience shipping SDK, API, or developer-platform products-someone who has set external builders up for success and is comfortable owning a developer experience end-to-end.
  • You have experience with DICOM, imaging workflows, radiology IT, PACS, routing, or interoperability products (strongly preferred).
  • You've shipped technical platform or infrastructure-adjacent products and are comfortable in dependency-heavy systems and detailed implementation conversations.
  • You are comfortable working across engineering, product, and external partners in ambiguous, fast-moving environments-and you can keep stakeholders aligned as conditions change.
  • You can translate strategic direction into concrete product plans and execution, with clear scope, owners, and milestones.
  • You have strong technical fluency and can operate in dependency-heavy systems, partnering closely with engineers on tradeoffs and integration details.
  • You can ramp quickly and contribute without a long learning curve, meeting the team where it is and adding leverage immediately.
You may be a fit if you:
  • Have built or managed SDK / API integration programs and understand what a great partner developer experience looks like.
  • Have worked on imaging infrastructure, routing, interoperability, or workflow systems.
  • Have run partner or ecosystem programs where external teams build on top of your product.
  • Can keep multiple technical threads moving at once.
  • Are pragmatic about sequencing and dependencies.
  • Can operate with urgency while keeping stakeholders aligned.
Why this role matters
The Rad AI SDK and DICOM routing are the foundation of a broader product bet around orchestration and platform expansion. They are what turns Rad AI from a set of products into an ecosystem that partners build on. We want to move quickly, reduce dependency bottlenecks, and get to a credible market-ready story on an aggressive timeline. This role is the operating owner who makes that real.
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!
To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!
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
  • 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.