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San Francisco, California, United States
Hybrid
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!
Rad AI's engineering and product organizations are growing quickly behind our award-winning product. You'll elevate your career in a mission-driven, high-growth environment where generative AI is transforming radiology workflows to save physicians time, reduce burnout, and improve patient care.
In this role you'll own program delivery for Rad AI Reporting, the product line that powers real-world radiology reporting, streamlines workflows, and reduces cognitive load for clinicians. You'll sit within Product Management and split your time between driving the reporting product roadmap with engineering and leading the client integration and deployment programs that get Reporting live inside complex health-system environments. That means owning integration go-lives end to end and being technical enough to roll up your sleeves when an HL7, FHIR, or PACS integration misbehaves.
Align delivery of new vendor integrations at scale by coordinating with deployment resources and engineering resources to align delivery of new vendor integrations at scale.
Serve as the escalation and coordination point for integration issues during deployment, triaging and diagnosing HL7, FHIR, DICOM, and PACS/RIS/EHR integration problems and driving them to resolution with engineering, implementations, and customer teams.
Coordinate security reviews, BAAs/data-use agreements for new integration partners
Build repeatable playbooks, runbooks, and KPI dashboards that make integrations faster, more predictable, and measurable. This includes tracking key KPIs like time-to-go-live, defect rates, and adoption.
Drive cross-functional execution of roadmap initiatives across the Reporting product line, partnering closely with engineering, design, implementations, and clinical teams.
Manage program schedules, scope, and dependencies by identifying risks early and developing mitigation strategies to keep delivery on track.
Own release coordination, covering QA, testing sign-off, and stakeholder readiness before each deployment.
Lead the rollout of major features, partnering with writing, implementation and customer success on plans, training, and documentation to roll out larger features and changes to our customers.
Own cross-functional communication for large reporting initiatives, keeping leadership, clinical stakeholders, and other business teams informed on progress, risks, and key decisions.
Drive quarterly planning cycles for the reporting team by facilitating the planning process, aligning stakeholders on priorities, and tracking commitments through to on-time delivery.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
6+ years as a Technical Program Manager in a software or healthcare-IT environment, with a track record delivering complex, cross-functional programs from inception through launch.
Demonstrated experience managing customer-facing integration and deployment programs, including health-system or enterprise go-lives.
Excellent communication and presentation skills — able to translate between deeply technical engineers and non-technical clinical or IT stakeholders.
Strong analytical and pragmatic problem-solving skills with sound technical judgment.
Experience building KPI frameworks and executive-ready reporting to quantify productivity, quality, and adoption.
This role requires someone who can independently read an interface spec, inspect a live message, and isolate where a failing integration is breaking — not just route tickets.
HL7 v2: Able to read and interpret message structure (MSH, PID, OBR, OBX, ORM/ORU segments), spot malformed or missing fields, and trace where a message fails in the pipeline.
FHIR: Comfortable with REST APIs, common resources (Patient, DiagnosticReport, ImagingStudy, ServiceRequest), JSON/XML payloads, and reading API/auth errors — OAuth2 and SMART on FHIR a plus.
DICOM & PACS/RIS: Working knowledge of DICOM objects and key tags, study/series/instance hierarchy, and how worklist (MWL) and image/report flow moves through PACS and RIS systems.
EHR integration: Familiarity with how orders and results flow between EHR, RIS, PACS, and reporting/dictation systems, and where integration points commonly break.
Interface engines: Hands-on experience with Mirth Connect, Rhapsody, or Cloverleaf — tracing messages, reading channel logs, and understanding routing and transformation.
Diagnostic toolkit: Comfortable reading application and interface logs, using API testing tools (e.g. Postman), inspecting network connectivity (VPN/firewall, ports, TLS), and writing basic queries or scripts (SQL, light Python/shell) to investigate issues.
Clinical workflow context: Understands radiology reporting and speech/dictation workflows well enough to reason about how an integration defect shows up for an end-user radiologist.
Enterprise healthcare delivery experience in regulated environments, with working knowledge of HIPAA, PHI handling, and SOC 2 practices.
Track record leading complex integrations and go-lives with large health systems or radiology groups, including security reviews and cross-vendor dependencies.
Change-management experience with radiologist end users.
Exposure to clinical AI regulatory considerations — risk management, documentation, and when/where FDA or other approvals may apply.
Experience collaborating with AI/ML engineering teams.
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!
Location Details:
For roles listed as San Francisco - Onsite:
This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.
For roles listed as United States - Remote:
This role is open to candidates located anywhere in the United States.
For roles listed as San Francisco - Onsite + United States - Remote:
We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.
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.
