Rad AI

<h2>About Rad AI</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software">AuntMinnie</a>, and ranked by <a target="_blank" rel="noopener noreferrer ugc" href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html">Deloitte</a> 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html">CNBC’s Disruptor 50</a> 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!<h2>About the role</h2>Rad AI is building out embedded analytics inside our reporting platform — giving radiology groups and health systems self-service visibility into their own reporting data: turnaround times, template usage, AI utilization, auto-launch accuracy, and more.This role sits at the center of that effort: part data engineer, part analyst, part customer-facing partner. You’ll work with customers to understand what they actually need to see, then build the governed data models and dashboards that deliver it correctly, at scale, across customers with very different data volumes, specialties, and reporting patterns.This is not a back-office reporting job. You’ll work with customer stakeholders (radiology administrators, quality leads, IT/informatics teams), with Product and an embedded analytics partner alongside you, translating ambiguous asks ("we want to see if our new templates are actually helping") into rigorous, reusable metrics and explaining them when a customer’s data looks stranger than expected.<h2>What you'll do</h2><ul><li>Get the data foundation right. Connect the new data platform to the existing warehouse, troubleshoot and fix data quality issues per customer, and help define the data contract that doesn’t exist yet.</li><li>Gather and translate requirements with customers and internal partners. Join discovery conversations with radiology group administrators, quality/ops leads, and informatics teams to understand what they’re trying to measure and decide, not just what they initially ask for.</li><li>Design and build the semantic layer and dashboards that serve customer requirements: governed metrics, joins, and reusable models that hold up across customers rather than one-off reports per account.</li><li>Apply real statistical rigor to healthcare reporting data. Radiology data is messy and high-stakes: small sample sizes at some sites, outliers from edge-case studies, seasonality, case-mix differences across specialties and facility types. You'll need to know when a metric needs a confidence interval, a risk-adjustment, or an exclusion note, not just a number.</li><li>Use AI as a core part of your workflow. Direct AI agents to describe, model, and document data relationships, and verify what they produce.</li><li>Own data quality end-to-end for customer-facing outputs: catch and explain anomalies before a customer does, document known caveats (sample-size exclusions, data lag, definitional edge cases) directly in the deliverable.</li><li>Build durable data products, not one-off answers. Use dbt/Snowflake-style modeling practices so a metric built for one customer's dashboard is reusable for the next, instead of re-derived from scratch each time.</li><li>Partner cross-functionally with Product, Engineering, and Customer Success to prioritize which metrics and dashboards actually move the needle for customers versus which are just "nice to have."</li><li>Explain data to non-data audiences. You’ll present findings to radiologists, hospital administrators, and executives who are expert clinicians but not data scientists. The ability to make a confidence interval or caveat meaningful to that audience is as important as computing it correctly.</li></ul><h2>What you'll bring</h2><ul><li>2–5 years in an analytics engineering, data science, or business/BI analyst role, ideally with some customer- or stakeholder-facing exposure (not purely internal reporting). Hunger and curiosity matter more to us than years.</li><li>Demonstrated AI fluency. Concrete examples from the last six months of how AI tools have meaningfully changed the way you work with data, including how you’ve used them to describe, model, or document datasets and how you check their output.</li><li>Strong SQL — comfortable writing and optimizing complex queries, not just filtering existing tables.</li><li>Working statistics fluency: confidence intervals, significance testing, sample-size considerations, handling outliers and skewed distributions, and the judgment to know when a metric needs a caveat versus when it's solid.</li><li>Experience with a modern governed BI/semantic layer tool (we use Omni; Looker, Sigma, ThoughtSpot, or similar is great) and a SQL/Python notebook or exploration environment (we use Hex; Mode or similar is fine).</li><li>Comfortable in dbt/Snowflake-style modeling environments: building something once and having it hold up for the next ten customers.</li><li>Direct experience defining or maintaining a semantic layer (entity/metric definitions, joins, governed fields, e.g., LookML, dbt Semantic Layer, or an equivalent governed-BI modeling layer), not just consuming one someone else built.</li><li>Comfort with ambiguity. You’re energized, not rattled, by undefined problems, messy data, and no existing playbook.</li><li>Demonstrated ability to run discovery with external stakeholders: asking good follow-up questions, pushing back on vague asks, and landing on a defensible metric definition.</li><li>Excellent written and verbal communication, able to present data findings to a non-technical, clinical audience without dumbing down the substance.</li><li>Healthcare, health IT, or other regulated-industry data experience is a strong plus (HIPAA awareness, understanding why "it depends on the payer/facility/specialty" is often the right answer).</li><li>Familiarity with radiology-specific concepts (PACS, HL7/FHIR, turnaround time, RVU, template-driven reporting) is a bonus, not a requirement. We'll teach the domain if the analytical and statistical instincts are there.</li></ul><h2>Nice to have</h2><ul><li>Experience building or maintaining a customer-facing (vs. internal-only) analytics product, i.e., you understand that a dashboard a paying customer sees is held to a different bar than an internal Slack chart.</li><li>Exposure to multi-tenant data governance (row-level security, per-customer data isolation) in an embedded analytics context.</li><li>Prior experience in a company selling into hospitals/health systems, understanding procurement and IT review cycles.</li></ul>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/life-at-rad-ai">https://www.radai.com/life-at-rad-ai</a> and be sure to follow us on <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&amp;utm_content=recruiting-job-posting-website&amp;utm_source=recru%5B%E2%80%A6%5Db-posting-website">LinkedIn</a> to stay up to date! Location Details:For roles listed as San Francisco - Onsite:<ul><li>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.</li></ul>For roles listed as United States - Remote:<ul><li>This role is open to candidates located anywhere in the United States.</li></ul>For roles listed as San Francisco - Onsite + United States - Remote:<ul><li>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.</li></ul> For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:<ul><li>Comprehensive Medical, Dental, Vision &amp; Life insurance</li><li>HSA (with employer match), FSA, &amp; DCFSA </li><li>401(k)</li><li>11 Paid Company Holidays</li><li>Flexible PTO policy</li><li>Annual company-wide offsite</li><li>Periodic team offsites</li><li>Annual equipment stipend</li><li>For roles based outside the US, your recruiter can share more details</li></ul>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 @<a target="_blank" rel="noopener noreferrer ugc" href="http://radai.com">radai.com</a> or no-reply@ashbyhq.com.

Business Analytics Engineer, Customer Insights

<h2>About Rad AI</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software">AuntMinnie</a>, and ranked by <a target="_blank" rel="noopener noreferrer ugc" href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html">Deloitte</a> 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html">CNBC’s Disruptor 50</a> 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!<h2>Why Join Us:</h2>We’re seeking a Staff Software Engineer with audio or multimedia experience to serve as technical lead for Speech at Rad AI. You’ll set technical direction, mentor engineers, and partner with Research Scientists, Infrastructure, and Product to build a responsive, high-performance Speech Platform for radiologists.<h2>What You’ll Be Doing:</h2><ul><li>Act as technical lead for the Speech function: set direction, drive architecture decisions, and mentor engineers</li><li>Partner with Research Scientists to take speech models from evaluation to production</li><li>Build and evolve real-time audio capture and streaming in our React/TypeScript web application</li><li>Design and operate the distributed Python backend services that power our speech platform</li><li>Contribute to the infrastructure behind our speech systems</li><li>Debug and improve production reliability and performance using modern observability tools</li><li>Work with Product, UX, and Customer Success to ship features in a high-scale, HIPAA-compliant environment</li></ul><h2>Who We’re Looking For:</h2><ul><li>7+ years of industry experience developing audio or multimedia software</li><li>Strong full-stack skills: in-depth TypeScript/React and Python</li><li>Experience with browser audio APIs (Web Audio, AudioWorklet) and real-time audio streaming</li><li>Strong experience with WebSockets and real-time client–server communication</li><li>Experience building and operating distributed systems</li><li>Comfortable debugging production issues with observability tools (e.g. Sentry, Grafana)</li><li>Proven technical leadership: mentoring engineers and driving technical direction across a team</li><li>Strong testing practices (unit and integration) and experience on distributed teams</li></ul><h2>Nice to Haves:</h2><ul><li>Experience with FastAPI, SQLAlchemy, and PostgreSQL</li><li>Experience with Infrastructure as code, particularly Terraform</li><li>Experience with ASR/STT, or ML-driven products such as speech recognition or NLP, from model evaluation (e.g. word error rate) through rollout and production monitoring</li><li>Experience with spec-driven development and AI-assisted engineering tools (e.g. Claude Code)</li><li>Experience in HIPAA-compliant environments, especially FHIR and HL7</li><li>Experience working at startups</li><li>Experience with 3rd-party integrations such as Auth0</li><li>Experience with relational and document based databases, as well as other large scale data storage paradigms</li></ul>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/life-at-rad-ai">https://www.radai.com/life-at-rad-ai</a> and be sure to follow us on <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&amp;utm_content=recruiting-job-posting-website&amp;utm_source=recru%5B%E2%80%A6%5Db-posting-website">LinkedIn</a> to stay up to date! Location Details:For roles listed as San Francisco - Onsite:<ul><li>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.</li></ul>For roles listed as United States - Remote:<ul><li>This role is open to candidates located anywhere in the United States.</li></ul>For roles listed as San Francisco - Onsite + United States - Remote:<ul><li>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.</li></ul> For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:<ul><li>Comprehensive Medical, Dental, Vision &amp; Life insurance</li><li>HSA (with employer match), FSA, &amp; DCFSA </li><li>401(k)</li><li>11 Paid Company Holidays</li><li>Flexible PTO policy</li><li>Annual company-wide offsite</li><li>Periodic team offsites</li><li>Annual equipment stipend</li><li>For roles based outside the US, your recruiter can share more details</li></ul>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 @<a target="_blank" rel="noopener noreferrer ugc" href="http://radai.com">radai.com</a> or no-reply@ashbyhq.com.

Staff Software Engineer, Speech

<h2>About Rad AI</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software">AuntMinnie</a>, and ranked by <a target="_blank" rel="noopener noreferrer ugc" href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html">Deloitte</a> 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html">CNBC’s Disruptor 50</a> 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!<h2>About Continuity:</h2>Continuity is Rad AI’s care coordination and follow-up product, helping radiology teams make sure important findings do not fall through the cracks. The team builds and operates the applications, APIs, and integrations that turn clinical data into actionable workflows for customers, with a strong emphasis on reliability, scalability, and operational excellence in a sensitive healthcare environment. This work sits at the intersection of product, engineering, implementations, and customer needs, and is central to helping Rad AI deliver measurable value for health systems and radiology practices.<div> </div><h2>Why Join Us:</h2>We’re seeking a Senior Software Engineer to join our team building the future of radiology. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, Product Leaders, and various other teams internally and externally to develop this responsive and performant application.<h2>What You'll Be Doing:</h2><ul><li>Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness</li><li>Develop our Python, FastAPI backend services including a REST API and ML pipeline services</li><li>Build new features that support our rapidly growing number of customers</li><li>Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment</li><li>Work with Product Management, ML, Data Science, Customer Success and other stakeholders to iterate on new features and address defects</li><li>Advocate for improvements to product quality, security, and performance that have impact across your team</li><li>Proactively seek out ways to improve our code base and product as a whole through code reviews, design collaboration, and development of strong engineering practices.</li></ul><h2>Who We're Looking For:</h2><ul><li>Minimum of 5+ years of industry engineering experience with single and multi-tenanted environments</li><li>In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks</li><li>Knowledge of relational and document based databases, as well as other large scale data storage paradigms</li><li>Knowledge of modern web architecture and best practices</li><li>Experience with unit and integration testing</li><li>Experience working on a distributed team and strong version control skills using git</li><li>Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems</li><li>Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security.</li></ul><h2>Nice to Haves:</h2><ul><li>Experience with PostgreSQL</li><li>Experience with 3rd-party integrations such as Auth0, Amplitude</li><li>Experience working at an early-stage startup</li><li>Experience in a HIPAA-compliant environment, especially with FHIR and HL7</li><li>Experience working on machine learning</li></ul>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/life-at-rad-ai">https://www.radai.com/life-at-rad-ai</a> and be sure to follow us on <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&amp;utm_content=recruiting-job-posting-website&amp;utm_source=recru%5B%E2%80%A6%5Db-posting-website">LinkedIn</a> to stay up to date! Location Details:For roles listed as San Francisco - Onsite:<ul><li>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.</li></ul>For roles listed as United States - Remote:<ul><li>This role is open to candidates located anywhere in the United States.</li></ul>For roles listed as San Francisco - Onsite + United States - Remote:<ul><li>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.</li></ul> For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:<ul><li>Comprehensive Medical, Dental, Vision &amp; Life insurance</li><li>HSA (with employer match), FSA, &amp; DCFSA </li><li>401(k)</li><li>11 Paid Company Holidays</li><li>Flexible PTO policy</li><li>Annual company-wide offsite</li><li>Periodic team offsites</li><li>Annual equipment stipend</li><li>For roles based outside the US, your recruiter can share more details</li></ul>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 @<a target="_blank" rel="noopener noreferrer ugc" href="http://radai.com">radai.com</a> or no-reply@ashbyhq.com.

Senior Software Engineer - Continuity

<h2>About Rad AI</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software">AuntMinnie</a>, and ranked by <a target="_blank" rel="noopener noreferrer ugc" href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html">Deloitte</a> 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html">CNBC’s Disruptor 50</a> 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!We're seeking a visionary Principal Engineer to lead our cutting-edge reporting product – a cornerstone initiative that's shaping the future of Rad AI. This highly visible role offers a unique opportunity to revolutionize how radiologists work by creating technology that meaningfully saves time and reduces burnout. You'll partner closely with our executive team to shape the product's technical direction, raise the bar for engineering excellence, and turn an ambitious vision into scalable, high-impact systems.Responsibilities<ul><li>Partner directly with the CTO and CPO to architect and drive the technical vision for our reporting product</li><li>Elevate engineering excellence by serving as a technical mentor and role model across the organization</li><li>Design forward-thinking solutions that deliver measurable business value while anticipating emerging technological trends</li><li>Collaborate strategically with adjacent teams to accelerate innovation and achieve breakthrough results</li><li>Establish robust engineering standards and guide the team in building scalable systems to support our rapid growth</li><li>Foster an inclusive culture that encourages diverse perspectives and open communication</li></ul><h2>Requirements</h2><ul><li>Demonstrated success as a principal engineer or equivalent technical leadership role</li><li>Exceptional technical expertise with a proven ability to drive innovation and establish best practices</li><li>Advanced knowledge of modern software architecture and engineering principles</li><li>AI experience is highly valuable for this transformative role</li><li>Proven track record of implementing architecture standards that enable engineering excellence</li><li>History of successfully designing and delivering complex technical systems with substantial business impact.</li></ul>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/life-at-rad-ai">https://www.radai.com/life-at-rad-ai</a> and be sure to follow us on <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&amp;utm_content=recruiting-job-posting-website&amp;utm_source=recru%5B%E2%80%A6%5Db-posting-website">LinkedIn</a> to stay up to date! Location Details:For roles listed as San Francisco - Onsite:<ul><li>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.</li></ul>For roles listed as United States - Remote:<ul><li>This role is open to candidates located anywhere in the United States.</li></ul>For roles listed as San Francisco - Onsite + United States - Remote:<ul><li>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.</li></ul> For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:<ul><li>Comprehensive Medical, Dental, Vision &amp; Life insurance</li><li>HSA (with employer match), FSA, &amp; DCFSA </li><li>401(k)</li><li>11 Paid Company Holidays</li><li>Flexible PTO policy</li><li>Annual company-wide offsite</li><li>Periodic team offsites</li><li>Annual equipment stipend</li><li>For roles based outside the US, your recruiter can share more details</li></ul>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 @<a target="_blank" rel="noopener noreferrer ugc" href="http://radai.com">radai.com</a> or no-reply@ashbyhq.com.

Principal Software Engineer, Full Stack - Reporting

<h2>About Rad AI</h2>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software">AuntMinnie</a>, and ranked by <a target="_blank" rel="noopener noreferrer ugc" href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html">Deloitte</a> 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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html">CNBC’s Disruptor 50</a> 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!<h2>About Continuity</h2>Continuity is Rad AI's care coordination and follow-up platform, identifying actionable findings in radiology reports and closing the loop between radiology and downstream care. When a radiologist notes a nodule that needs a six-month recheck, Continuity makes sure that recommendation reaches a real worklist, gets acted on, and gets tracked until the patient actually returns. It is live at large health systems and radiology practices today, improving follow-up completion rates and catching cancers and other serious conditions earlier.The people who do this work every day are nurse navigators, radiology technologists, and coordinators, and how well Continuity fits into their workflow matters as much to a program's success as the technology behind it.<h2>Why we need you</h2>Patient navigation is its own discipline. Working a list of hundreds of open findings. Knowing which patient needs a letter and which needs a phone call. Following up on the order that never got placed. It takes judgment built over years, and the navigators we work with have it.We want that expertise at Rad AI. Rad AI's clinical team brings deep radiology experience, and we are adding a navigator with hands-on experience so that the workflows we design, the training we deliver, and the features we prioritize all reflect how this work is actually done. As we bring several major health systems and radiology practices live over the coming months, we want someone who has run a follow-up program working alongside our customers and our product team.Looking longer term, we want to bring patient follow-up to all radiology organizations. Running a strong follow-up program today generally means funding a dedicated navigator position, which puts it out of reach for many smaller practices and imaging centers. Extending it to them means automating the routine steps so staff time goes to the patients who need it most. Drawing that line well requires someone who has done the work.<h2>What You'll Be Doing</h2><ul><li>Partner with implementation and customer success to design a customer's follow-up program around their staffing, referral patterns, and EHR.</li><li>Advise on configuration decisions including worklist setup, letter templates, outreach cadences, and resolution reasons.</li><li>Support navigator training and user acceptance testing ahead of each go-live.</li><li>Serve as the clinical resource a customer's navigation team can bring questions to during their first months live.</li><li>Bring the navigator's perspective to product requirements, design reviews, and prioritization.</li><li>Review our follow-up recommendations and categorization alongside our clinical team.</li><li>Help us determine which follow-up steps require clinical judgment and which can be handled by software or administrative staff.</li><li>Codify what makes a follow-up program successful into training material, playbooks, and benchmarks.</li></ul><h2>Who We're Looking For</h2><ul><li>2+ years in radiology follow-up, navigation, or care coordination, as a nurse navigator, radiology technologist, coordinator, or in a comparable role.</li><li>Experience designing a follow-up program and leading the staff who run it.</li><li>Hands-on experience working a follow-up worklist and tracking patients through to a completed follow-up, including the messy parts: unreachable patients, wrong referring providers, orders that never get placed.</li><li>Comfort working across EHRs (Epic, Cerner, Meditech or similar) and an understanding of how orders, results, and patient communication move through a health system.</li><li>Willingness to give direct, specific product feedback and advocate for the user's experience.</li><li>Self-direction and comfort with ambiguity, this is a small team moving quickly.</li><li>Availability during US business hours for customer-facing sessions.</li></ul><h2>Nice to Haves</h2><ul><li>Clinical license such as RN or RT(R), active or previously held.</li><li>Experience in a radiology department or imaging center.</li><li>Familiarity with radiology follow-up guidelines such as Fleischner, TI-RADS, LI-RADS, Lung-RADS.</li><li>Experience managing or training other navigators.</li><li>Familiarity with Lung Cancer Screening program requirements and registry reporting such as ACR NRDR.</li><li>Experience working for a health IT vendor, or as the customer-side lead on a vendor implementation.</li></ul>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 <a target="_blank" rel="noopener noreferrer ugc" href="https://www.radai.com/life-at-rad-ai">https://www.radai.com/life-at-rad-ai</a> and be sure to follow us on <a target="_blank" rel="noopener noreferrer ugc" href="https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&amp;utm_content=recruiting-job-posting-website&amp;utm_source=recru%5B%E2%80%A6%5Db-posting-website">LinkedIn</a> to stay up to date! Location Details:For roles listed as San Francisco - Onsite:<ul><li>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.</li></ul>For roles listed as United States - Remote:<ul><li>This role is open to candidates located anywhere in the United States.</li></ul>For roles listed as San Francisco - Onsite + United States - Remote:<ul><li>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.</li></ul> For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:<ul><li>Comprehensive Medical, Dental, Vision &amp; Life insurance</li><li>HSA (with employer match), FSA, &amp; DCFSA </li><li>401(k)</li><li>11 Paid Company Holidays</li><li>Flexible PTO policy</li><li>Annual company-wide offsite</li><li>Periodic team offsites</li><li>Annual equipment stipend</li><li>For roles based outside the US, your recruiter can share more details</li></ul>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 @<a target="_blank" rel="noopener noreferrer ugc" href="http://radai.com">radai.com</a> or no-reply@ashbyhq.com.

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