Rad AI

SDET

• Assist with all test automation activities and collaborate with multiple teams.
• Design and creation of automated test suites across various services and applications.
• Perform functionality testing on the Rad AI product, including verifying feature implementations and testing new releases (writing bug tickets).
• Collaborate to ensure project deadlines were met effectively and consistently.

Senior Test Automation Engineer

Product Manager

• Own the product roadmap for Rad AI Impressions from ideation through launch and continuous improvement
• Collaborate with ML research, data science, and engineering teams to convert model improvements into meaningful workflow benefits
• Optimize accuracy, stability, and efficiency of AI-generated impressions across subspecialties and modalities
• Design human-in-the-loop review workflows that maximize radiologist trust and efficiency
• Define and measure success metrics such as time saved per read, accuracy, adoption, radiologist satisfaction, and performance stability
• Conduct deep customer and radiologist discovery to understand workflow variation and reporting style needs
• Work with implementation and customer success to support successful rollouts and monitor real-world performance
• Ensure compliance with privacy, security, clinical safety, and regulatory standards

Lead Product Manager, Impressions

Infrastructure Engineer

• Architect and build platform infrastructure using container orchestration (preferably Kubernetes), serverless applications (e.g., AWS Lambda), virtual machines such as EC2 (or equivalents in Google Compute Engine on GCP or Microsoft Azure), and databases.
• Collaborate with engineering leadership, machine learning, data science, and product partners to help shape our platform vision.
• Develop and maintain tooling that improves engineering productivity and developer experience.
• Promote sustainable incident response and lead blameless post-incident reviews.
• Manage network and systems monitoring, design alert strategies, and participate in an equitable on‑call rotation.

Senior Infrastructure Engineer

Revenue Operations

• Be embedded in executive planning, shaping decisions before they are made rather than reacting to them afterward.
• Partner with Finance to lead bottoms-up and top-down modeling, including quotas, capacity planning, ramp modeling, bookings targets, and GTM design.
• Align variable comp plans with desired behaviors to influence retention, motivation, and cost of sale.
• Build and maintain forecasting processes that instill confidence with the board and guide hiring, investment, and spending decisions.
• Go beyond metrics to model “what-if” scenarios across pricing, pipeline, productivity, and headcount planning.
• Oversee HubSpot, Gong, Clari, and other GTM tools; optimize usage, reduce redundancy, and own the roadmap and adoption strategy.
• Provide clean data, shared language, and actionable insights to Sales, Customer Success, Marketing, Finance, and Product teams, helping the organization make faster, smarter decisions.
• Deliver defensible, audit-proof dashboards and forecasts that clearly communicate the business’s performance and drive action.
• Drive operational excellence to free leadership and GTM teams to focus on growth, reducing manual tracking, ambiguity, and friction.

VP of Revenue Operations

Sales

• Own the sales process for a large territory with a focus on finalizing new partnerships, from initial prospecting to contract closure.
• Work collaboratively with our customer success colleagues to ensure successful deployments and expansion of our partnerships.
• Develop relationships with C-Level executives and decision makers (physician leaders, IT staff, RIS/PACS administrators, radiology directors, etc).
• Meet or exceed the annual revenue quota.
• Develop and maintain a strong sales pipeline with more than enough opportunities to achieve your quota.
• Develop relationships both on the clinical and operational side of target accounts in order to properly present and sell meaningful solutions.
• Manage a pipeline including account targeting, deal qualification and prioritization, and accurate forecasting.
• Develop new relationships within your account base of radiologists and educate them on Rad AI’s impact to clinicians and patients alike.
• Build and maintain a deep and comprehensive familiarity of Rad AI’s products and development roadmap.
• Pipeline is primarily self-sourced; strong prospecting and multi-threading skills are important.
• Travel is lighter than typical enterprise roles; remote-first demos with site visits as needed.

Regional Vice President, Sales

Technical Program Manager

• Drive cross-functional execution and delivery of projects within the Platform organization for Core Services, Data, and Infrastructure
• Manage project schedules, identify risks and dependencies, and develop strategies
• Facilitate communication and collaboration between Core Services, Data, and Infrastructure ensuring alignment on program goals, milestones, and technical requirements
• Track and report on project/program progress, risks, and key performance indicators (KPIs) to leadership and stakeholders
• Contribute to the strategic planning, objective setting, and technical roadmap
• Proactively identify and resolve roadblocks and dependencies, coordinating across organizational boundaries

Senior Technical Program Manager – Platform

• Own the product roadmap for AI-driven features and experiences, from ideation through launch and iteration.
• Collaborate with ML and data science teams to translate model capabilities into intuitive, high-value user workflows.
• Drive AI productization—including model evaluation, performance monitoring, safety, and explainability frameworks for clinical environments.
• Partner with engineering and design to create user experiences that build trust in AI outputs and integrate seamlessly into radiology workflows.
• Define and track key success metrics, including accuracy, latency, adoption, and user satisfaction.
• Work with customers and radiologists directly to understand clinical pain points and validate product hypotheses.
• Contribute to company-wide AI strategy, helping shape how Rad AI leverages large-scale data and generative AI models across our product lines.
• Collaborate cross-functionally with regulatory, privacy, and security teams to ensure AI systems meet healthcare compliance and safety standards.

Lead Product Manager, Artificial Intelligence

Sales Operations Manager

• Build the Enablement Function: Develop a scalable enablement roadmap aligned with revenue and growth goals.
• Drive Field Productivity: Design and track enablement programs that increase win rates, shorten ramp time, and improve pipeline conversion.
• Launch Excellence: Partner with Product and Marketing to ensure the field is ready for every new product, feature, and campaign.
• Sales Content Engine: Oversee creation and distribution of high-impact collateral — from case studies and talk tracks to competitive battle cards and ROI tools.
• Training & Onboarding: Architect onboarding that accelerates ramp time and ongoing learning programs that reinforce best practices.
• Performance Insights: Use CRM and enablement platform data to measure program effectiveness and identify opportunities for continuous improvement.
• Cultural Leadership: Foster a high-performance, coaching-oriented culture where sellers are confident, competent, and customer-obsessed.

Sales Enablement Manager

Research Scientist

• Lead high-impact ML research projects from concept to deployment, focused on clinical NLP and reasoning systems.
• Define the technical direction of research initiatives within your product area; identifying opportunities to apply state-of-the-art models to real-world radiology workflows.
• Collaborate deeply with radiologists and clinical experts to understand diagnostic reasoning patterns, report structures, and clinical decision-making criteria—then encode that understanding into robust ML systems.
• Architect and evaluate models that integrate structured and unstructured medical data (clinical notes, diagnostic criteria, patient context) to enhance diagnostic reasoning and reporting accuracy.
• Build NLP systems that can parse, reason over, and generate clinically accurate content using medical terminology and ontologies.
• Mentor and guide other researchers in experimental design, model reproducibility, and technical communication.
• Advance research infrastructure by contributing to data pipelines, training frameworks, and model evaluation tooling.

Staff ML Research Scientist – Clinical

General Counsel

• Collaborate with the sales team to develop efficient processes that accelerate deal closures while maintaining rigorous legal standards.
• Negotiate commercial contracts to enable the delivery of our AI solutions to healthcare providers globally.
• Design and implement a comprehensive privacy program ensuring full compliance with HIPAA and all Business Associate Agreements (BAAs), safeguarding sensitive medical data in partnership with our security and product teams.
• Serve as a trusted counsel across product, engineering, and model teams, providing strategic legal support for AI research and model development projects.
• Build scalable legal processes, tools, and infrastructure—including internal documentation and a modern legal tech stack—to support the company’s rapid growth.
• Monitor emerging legal and policy trends in the generative AI landscape to ensure Rad AI remains at the forefront of regulatory compliance and innovation.

Commercial Counsel

Engineering Manager

• Report into our Director of Engineering to manage a team of software engineers at a variety of levels
• Cross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features.
• Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements.
• Invest in individual growth, enabling your team to deliver with quality and confidence.
• Collaborate with senior leadership to chart out a strategic direction based on vital business metrics.
• Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered.

Machine Learning Engineer

• Design, implement, and maintain the infrastructure that supports our machine learning applications, services, and workflows
• Build, maintain, and improve our ML platform that supports continuous integration, continuous delivery, and continuous training for our machine learning models
• Develop fullstack, cloud-native services and serverless architectures to build scalable and resilient systems
• Plan, design, and develop components in the data pipeline to enable various machine learning models in production
• Write code that meets internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment
• Design, deploy, and maintain the full ML platform stack including monitoring and observability, data analytics, backend integration with customer-facing products, and the full model R&D lifecycle
• Work with Product Management, Research, and Engineering to iterate on new features and address inefficiencies across our AI/ML infrastructure
• Connect language models to customer-facing products and serve those models to radiologists
• Backend-heavy role that includes fullstack development in Python and Typescript

Senior Machine Learning Engineer, Infrastructure

Chief Marketing Officer

• Lead the Narrative: Develop and execute Rad AI’s communications strategy across external and internal audiences, ensuring every piece of content reinforces a unified story.
• Content Creation: Write and edit thought leadership, blogs, op-eds, case studies, white papers, and campaign copy with a consistent, high-quality voice.
• Product Content: Partner with Product Marketing to create solution briefs, one-pagers, FAQs, and web copy that translate technical capabilities into clear customer value.
• Campaign Storytelling: Work with Growth Marketing to ensure campaigns are powered by compelling stories and tailored messaging rather than disconnected assets.
• Customer Content: Build customer success stories, testimonials, and case studies that strengthen brand trust and support the sales cycle.
• Internal Comms: Design programs that keep employees aligned and engaged, from newsletters and all-hands content to playbooks and change communications.
• Web Content Strategy: Own the content strategy for Rad AI’s website, ensuring copy is audience-focused, aligned to campaigns and product launches, and optimized for clarity and conversion.
• Content Calendar and Governance: Manage an editorial calendar that aligns content development with product launches, campaigns, and business priorities.
• Measurement: Track performance of communications programs, analyze engagement and business impact, and optimize based on data-driven insights.

Director of Marketing Communications

Marketing Operations

• Own the Tech Stack: Manage Rad AI’s marketing systems (HubSpot, Webflow, etc.), ensuring integrations, automations, and data flows are accurate and scalable.
• Campaign Enablement: Build and manage the logic, workflows, and automations that power multi-channel campaigns (email, ABM, retargeting, nurture programs).
• Lead Flow & Attribution: Ensure leads move seamlessly across systems and are properly scored, routed, and attributed for pipeline reporting.
• Reporting & Insights: Create and maintain dashboards to give leadership visibility into funnel health, ROI, and campaign impact.
• Process Optimization: Identify gaps and inefficiencies in current workflows; design and implement improvements to increase performance and scalability.
• Data Management: Oversee database health, segmentation, and enrichment to ensure high-quality targeting and compliant communication practices.
• Documentation & Enablement: Maintain process guides and provide training for the marketing team to ensure consistency and adoption.
• Cross-Functional Collaboration: Partner with Growth, RevOps, Sales, and Analytics to align systems and reporting with company-wide objectives.

Senior Marketing Operations Manager

Full-stack Engineer

• Rad AI is 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%.\n• 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.\n• 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.\n• Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.\n• If you’re ready to shape the future of healthcare, we’d love to have you on our team!\n• Why Join Us: We are looking for a Staff Software Engineer to join our platform team and help build and maintain our healthcare data platform. In this role, you\'ll develop tools and systems that power mission-critical products like our Reporting application, working with platforms like Medplum and health data formats such as HL7.\n• You\'ll play a key role in designing and supporting the backend infrastructure that connects directly to the products we deliver to customers. The role is backend-heavy and ideal for someone who thrives on building robust, scalable systems in Python and TypeScript.\n• This is a unique opportunity to work at the intersection of engineering and healthcare, shaping how healthcare data flows across the company.\n• 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!\n• For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:\n• Comprehensive Medical, Dental, Vision & Life insurance\n• HSA (with employer match), FSA, & DCFSA\n• 401(k)\n• 11 Paid Company Holidays\n• Location Flexibility (Remote-first company!)\n• Flexible PTO policy\n• Annual company-wide offsite\n• Periodic team offsites\n• Annual equipment stipend\n• For roles based outside the US, your recruiter can share more details