Jobs - Jobs4Americans

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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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 ROLE 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. WHAT YOU'LL DO - 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. - 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. - 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. - 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. - Use AI as a core part of your workflow. Direct AI agents to describe, model, and document data relationships, and verify what they produce. - 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. - 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. - 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." - 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. WHAT YOU'LL BRING - 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. - 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. - Strong SQL — comfortable writing and optimizing complex queries, not just filtering existing tables. - 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. - 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). - Comfortable in dbt/Snowflake-style modeling environments: building something once and having it hold up for the next ten customers. - 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. - Comfort with ambiguity. You’re energized, not rattled, by undefined problems, messy data, and no existing playbook. - 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. - Excellent written and verbal communication, able to present data findings to a non-technical, clinical audience without dumbing down the substance. - 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). - 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. NICE TO HAVE - 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. - Exposure to multi-tenant data governance (row-level security, per-customer data isolation) in an embedded analytics context. - Prior experience in a company selling into hospitals/health systems, understanding procurement and IT review cycles. 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 https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

10 days ago

Staff Software Engineer, Speech

Rad AI · United States

Pay

$187k–265k

Setting

Remote

Apply Sign in to favorite Permalink

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

28 days ago

Regional Vice President of Sales - West

Rad AI · United States

Pay

$300k–350k

Setting

Remote

Apply Sign in to favorite Permalink

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

36 days ago

Senior Software Engineer - Continuity

Rad AI · United States

Pay

$150k–224k

Setting

Remote

Apply Sign in to favorite Permalink

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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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 CONTINUITY: 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. WHY JOIN US: 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. WHAT YOU'LL BE DOING: - Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness - Develop our Python, FastAPI backend services including a REST API and ML pipeline services - Build new features that support our rapidly growing number of customers - Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment - Work with Product Management, ML, Data Science, Customer Success and other stakeholders to iterate on new features and address defects - Advocate for improvements to product quality, security, and performance that have impact across your team - 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. WHO WE'RE LOOKING FOR: - Minimum of 5+ years of industry engineering experience with single and multi-tenanted environments - In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks - Knowledge of relational and document based databases, as well as other large scale data storage paradigms - Knowledge of modern web architecture and best practices - Experience with unit and integration testing - Experience working on a distributed team and strong version control skills using git - Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems - Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security. NICE TO HAVES: - Experience with PostgreSQL - Experience with 3rd-party integrations such as Auth0, Amplitude - Experience working at an early-stage startup - Experience in a HIPAA-compliant environment, especially with FHIR and HL7 - Experience working on machine learning 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 https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

52 days ago

Regional Vice President of Sales - East

Rad AI · United States

Pay

$300k–350k

Setting

Remote

Apply Sign in to favorite Permalink

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Consulting

53 days ago

Patient Navigation Program Advisor, Continuity

Rad AI · United States

Pay

$40–50/hr

Setting

Remote

Apply Sign in to favorite Permalink

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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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 CONTINUITY 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. WHY WE NEED YOU 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. WHAT YOU'LL BE DOING - Partner with implementation and customer success to design a customer's follow-up program around their staffing, referral patterns, and EHR. - Advise on configuration decisions including worklist setup, letter templates, outreach cadences, and resolution reasons. - Support navigator training and user acceptance testing ahead of each go-live. - Serve as the clinical resource a customer's navigation team can bring questions to during their first months live. - Bring the navigator's perspective to product requirements, design reviews, and prioritization. - Review our follow-up recommendations and categorization alongside our clinical team. - Help us determine which follow-up steps require clinical judgment and which can be handled by software or administrative staff. - Codify what makes a follow-up program successful into training material, playbooks, and benchmarks. WHO WE'RE LOOKING FOR - 2+ years in radiology follow-up, navigation, or care coordination, as a nurse navigator, radiology technologist, coordinator, or in a comparable role. - Experience designing a follow-up program and leading the staff who run it. - 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. - Comfort working across EHRs (Epic, Cerner, Meditech or similar) and an understanding of how orders, results, and patient communication move through a health system. - Willingness to give direct, specific product feedback and advocate for the user's experience. - Self-direction and comfort with ambiguity, this is a small team moving quickly. - Availability during US business hours for customer-facing sessions. NICE TO HAVES - Clinical license such as RN or RT(R), active or previously held. - Experience in a radiology department or imaging center. - Familiarity with radiology follow-up guidelines such as Fleischner, TI-RADS, LI-RADS, Lung-RADS. - Experience managing or training other navigators. - Familiarity with Lung Cancer Screening program requirements and registry reporting such as ACR NRDR. - Experience working for a health IT vendor, or as the customer-side lead on a vendor implementation. 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 https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Accounting

58 days ago

Senior Accountant

Rad AI · San Francisco, California, United States

Pay

$113k–141k

Setting

Remote

Apply Sign in to favorite Permalink

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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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 Role We are looking for a highly capable, hands-on Senior Accountant to join our growing team. This role will be a key owner of the company’s core accounting operations, including the monthly close, balance sheet reconciliations, payroll and benefits accounting, accounts payable and spend management, inter-company activity, audit support, tax compliance support, and process documentation. The Senior Accountant will work across multiple areas of the close and help strengthen the processes, controls, and systems required to support a rapidly growing SaaS business. The ideal candidate combines strong accounting fundamentals with a high degree of ownership, sound judgment, and a practical approach to solving problems. The Senior Accountant will report to the Director of Accounting and collaborate closely with FP&A, People Operations, and other cross-functional partners. What You’ll Do - Own assigned areas of the monthly, quarterly, and annual close, including preparing journal entries, maintaining supporting schedules, and completing accurate and timely balance sheet reconciliations. - Review and approve U.S. and Canadian payrolls and own the related accounting, including payroll journal entries, reconciliations, employee benefits, bonuses, commission-related payments, and payroll-related liabilities. - Own accounting for cash, prepaid expenses, accrued expenses, fixed assets, operating expenses, intercompany activity, and other assigned general ledger accounts. - Own accounts payable and spend-management operations, including Ramp administration, vendor onboarding and master-data controls, expense classification, payment approvals, annual 1099 support, and related reconciliations and controls. - Review financial activity for completeness and accuracy, investigate unusual items and variances, and resolve issues before the close is finalized. - Maintain organized, audit-ready accounting schedules, reconciliations, and supporting documentation. - Support the annual financial statement audit, 401(k) audit, income and franchise tax filings, and other compliance requirements by preparing schedules and responding to requests. - Assist with the development, documentation, and execution of accounting policies, procedures, and internal controls. - Identify and implement opportunities to automate manual work, strengthen controls, improve accuracy, and make accounting processes more scalable. - Identify accounting issues proactively, communicate them clearly, and drive them through resolution without waiting for step-by-step direction. - Support ad hoc accounting analyses and special projects as the company continues to grow. What We’re Looking For - Bachelor’s degree in Accounting, Finance, or a related field. - 4+ years of progressive accounting experience, including hands-on ownership of significant portions of the month-end close and balance sheet reconciliations. - Strong understanding of U.S. GAAP and the ability to analyze financial statements and general ledger activity for completeness, accuracy, and appropriate accounting treatment. - Experience preparing and reviewing journal entries, accruals, account reconciliations, rollforwards, and well-supported accounting schedules. - Strong analytical and problem-solving skills, including the ability to investigate discrepancies, identify root causes, and drive issues through resolution. - Strong Excel or Google Sheets skills, including experience working with large datasets, lookup and aggregation formulas, and building reliable supporting schedules. - High attention to detail with the judgment to balance accuracy, materiality, and close deadlines. - Ability to communicate accounting issues clearly and work effectively with both finance and non-finance partners. - Demonstrated ability to manage multiple priorities independently, take ownership of unfamiliar problems, and operate effectively when processes are still being developed. Preferred Qualifications - Experience in a SaaS, software, venture-backed, or other high-growth technology company. - Experience with payroll and benefits accounting, accounts payable, and spend-management operations. - Experience supporting a financial statement audit, including preparing PBC schedules and working directly with external auditors. - Experience working in a multi-entity or international environment - Experience with modern ERP, expense-management, and payroll systems; experience with Rillet, Ramp, or Rippling is a plus. - Familiarity with developing internal controls, documenting accounting processes, and improving close procedures. - Experience using automation, AI-enabled tools, or systems integrations to improve accounting processes, reconciliations, or close efficiency. 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 https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

58 days ago

Senior ML Research Scientist

Rad AI · San Francisco, California, United States

Pay

$170k–220k

Setting

Remote

Apply Sign in to favorite Permalink

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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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! WHAT YOU’LL DO - Own a multimodal ML work-stream from problem definition through experimentation, evaluation, deployment, and iteration. - Translate clinical and product needs into clear ML objectives, data strategies, model approaches, and success criteria. - Build and evaluate modern ML systems, including transformers, self-supervised learning, weak supervision, detection, localization, and segmentation. - Work with image, report, and other clinical data to develop systems that are useful in real radiology workflows. - Design rigorous evaluations that go beyond aggregate offline metrics, including clinically meaningful operating points, robustness, calibration, and performance across relevant data slices. - Partner with engineering to productionize models, make practical system tradeoffs, and learn from performance after launch. - Investigate failure modes such as laterality errors, poor image or report grounding, hallucination, dataset bias, domain shift, and workflow disruption. - Communicate research findings and technical decisions clearly through design documents, experiment reviews, and presentations to technical and clinical partners. - Contribute to the research roadmap by identifying promising approaches, sharing learnings, and helping the team decide what to pursue next. - Mentor less experienced researchers and engineers through project collaboration, code and experiment reviews, and technical guidance. WHAT WE’RE LOOKING FOR - Strong applied experience in computer vision, NLP, or deep learning, with a track record of independently designing experiments, analyzing results, and turning findings into working systems. - Experience owning substantial ML projects across the full lifecycle, from data and modeling through production delivery. - Deep hands-on ability in Python and PyTorch, with strong intuition for model architecture, data quality, experimentation, and evaluation. - Experience with modern vision or multimodal techniques such as vision transformers, contrastive learning, masked image modeling, or weak supervision, etc. - The judgment to connect model performance to real user and clinical outcomes, including knowing when a benchmark improvement is not enough. - Strong collaboration skills across research, engineering, product, data, and clinical teams. - Clear written and verbal communication, including the ability to explain technical tradeoffs to both ML experts and clinical partners. - Typically 4+ years of relevant applied ML research or engineering experience, or equivalent scope and impact. We calibrate on demonstrated ownership rather than title or exact tenure. - An MS, PhD, or equivalent practical experience in Computer Science, Electrical Engineering, Machine Learning, Biomedical Engineering, or a related quantitative field. NICE TO HAVE - Experience with medical imaging, radiology, healthcare, or another high-stakes application area. - Familiarity with chest X-ray, CT, MRI, mammography, or other clinical imaging modalities. - Experience with DICOM, image-report pairing, medical data de-identification, radiology workflows, or clinically derived labels. - Experience evaluating models across patients, sites, scanner vendors, protocols, or other sources of distribution shift. - Familiarity with clinical validation, FDA or HIPAA considerations, or other regulated and privacy-sensitive environments. - Experience with 3D vision, longitudinal imaging, report generation, or clinical decision support. - Publications, open-source contributions, or other evidence of research credibility. WHAT SUCCESS LOOKS LIKE You’ll own and advance a meaningful research track from ideation through production. You’ll establish a strong understanding of the clinical problem, build a credible data and evaluation strategy, deliver models that perform reliably in practice, and help the team learn from real-world use. You’ll also become a trusted technical partner to the researchers, engineers, product leaders, data teams, and clinicians working on the broader ML roadmap. Over time, you’ll help raise the quality of research and technical decision-making through strong experimentation, clear communication, and thoughtful mentorship. OUR WORKING STYLE We’re a remote-first company with a highly collaborative, mission-driven research and engineering culture. We value direct communication, intellectual honesty, strong ownership, and practical judgment. The best work here comes from people who can go deep technically, stay close to the clinical context, and make progress even when the problem and the path are not fully defined. This role is U.S. remote, with San Francisco Bay Area preferred. We encourage people from a wide range of backgrounds to apply. If the scope of this role excites you but your experience does not match every bullet, we would still love to hear from you. 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 https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Customer Service

58 days ago

Customer Success Manager

Rad AI · San Francisco, California, United States

Pay

$100k–130k

Setting

Remote

Apply Sign in to favorite Permalink

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 https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html 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 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html 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 are seeking an experienced and dynamic Customer Success Manager to join our small but growing team. In this high-visibility role, you’ll deliver unmatched service and attention to our rapidly expanding customer base of radiology groups and hospital systems, helping drive success at the forefront of generative AI-driven healthcare innovation. The ideal candidate has a proven track record of driving customer adoption, retention, and expansion within high-growth healthcare AI and SaaS companies. This role will be responsible for building strong executive relationships with customers,, demonstrating ROI and impact of our solution, fostering cross-functional collaboration to maximize customer value, positioning customers for upsell and cross-sell opportunities, and turning customers into enthusiastic advocates. What You'll Be Doing: - Serve as a trusted advisor to Rad AI’s customers through the entire post-implementation lifecycle including product adoption, value realization and renewal. - Develop and maintain customer relationships across our radiology partners. Proactively manage the customer relationships through regularly scheduled check-in meetings to determine product usage and customer feedback. - Hold Strategic Business Review meetings to secure renewals and generate growth opportunities - Become the trusted partner for the customer on use cases and product functionality. Represent the voice of the customer to our Product and Machine Learning teams. - Ensure a smooth onboarding experience for new radiology partners by engaging and educating IT, executive leadership, and radiologists. - Help customers maximize the value of their Rad AI subscription by guiding them to adoption and expansion strategies tailored to their practice. - Monitor customer accounts to ensure fast response to customer queries and identify opportunities for continuous improvement. - Drive retention and growth among our customers by understanding their business needs and demonstrating Rad AI products’ value. - Take an active role in building out a world-class customer success organization that aims to exceed customer expectations with attentive, responsive, and knowledgeable service. Who We're Looking For: - Bachelor’s degree or above. - 3+ years of relevant customer success experience within a healthcare environment. - Excellent people/relationship management, coaching, and communication skills with the ability to influence others. - Strong project management and organizational skills to prioritize competing priorities, deliver outcomes on a timeline, and build out documentation. - Practical working knowledge of SaaS solutions, implementations, and technical concepts. - Eagerness to continuously learn, adapt, improve, and help others do so in a fast-paced, ever-changing environment. - Ability to build and maintain relationships with all functions and areas of the company to share in challenges and successes, and work collaboratively towards common goals. - Ability to work in the Western time zone. Nice To Haves: - Experience in a high-growth startup environment. - Demonstrated record of identifying expansion and cross-sell opportunities. - Knowledge of the healthcare industry and AI technology. - Prior professional consulting or healthcare software implementation experience. - Previous experience as a radiology technologist is highly preferred. 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 https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website 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 http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Select a role

The full posting opens here — pay, setting and the full description, without leaving the list.