San Francisco, CA
Generative AI platform for radiology reporting
Rad AI builds AI software like Reporting, Impressions, and Continuity to automate radiology workflows, generate impressions, and manage patient follow-ups. It serves radiologists and health systems to save time, reduce burnout, and improve accuracy and patient care. The platform handles nearly half of US medical imaging, enhancing efficiency amid rising volumes and shortages.
Provides strategic legal counsel for AI research, healthcare technology, privacy, and commercial transactions. The role requires at least five years of legal experience, a JD, state bar membership, and expertise in technology or healthcare environments.
Leads the Western U.S. enterprise sales organization, managing Regional Vice Presidents while directly supporting complex healthcare deals. The role requires extensive healthcare technology sales experience, enterprise team leadership, strong forecasting and pipeline-management skills, and significant travel.
Staff Software Engineer building Continuity, Rad AI's care coordination platform. Develop large-scale web apps, Python/FastAPI backends, ML pipelines, and integrations in a HIPAA environment. Requires 7+ years experience, mentoring, and strong architecture skills.
Lead and mentor a team of applied and clinical researchers as a player-coach. Guide ML research in NLP, LLMs, and clinical applications for radiology, translating ideas into production systems while partnering with clinicians and engineers. Requires MS/PhD and 6+ years applied ML research experience.
Senior Data Engineer building scalable data pipelines, infrastructure, and architecture on AWS using Spark, Metaflow, and orchestration tools. Requires 5+ years data engineering experience with big data technologies; ML/healthcare background is a plus.
Own program delivery for Rad AI's radiology reporting product, driving cross-functional roadmap execution while leading complex customer integrations, deployments, and troubleshooting of HL7, FHIR, DICOM, and PACS interfaces in healthcare systems. Requires 6+ years TPM experience, strong technical integration skills, and ability to bridge engineering and clinical stakeholders.
Market Development Representative generating qualified pipeline for Sales through inbound lead qualification and outbound prospecting to radiology groups and health systems. Requires 2+ years sales experience and healthcare/radiology background.
Full-cycle Recruiter to source, screen, and hire across engineering, product, customer success, and operations at a fast-growing healthcare AI startup. Requires 4+ years of tech startup recruiting experience and Ashby ATS proficiency.
Own the roadmap and execution for Rad AI's SDK and DICOM routing capabilities. Define developer experience, APIs, and integration patterns that enable ecosystem partners to build on the platform.
Own the vision, roadmap, and commercial strategy for Rad AI's Orchestration platform. Lead cross-functional execution from concept to market-ready product, driving adoption and revenue in radiology workflow and interoperability.
Leads core product engineering team owning roadmap execution, architecture decisions, and cross-functional partnerships to deliver reliable AI systems for healthcare. Requires 6+ years managing engineers with hands-on experience in modern web/cloud stacks.
Leads Rad AI's Continuity product as GM, owning strategy, roadmap, cross-functional team, and growth in healthcare AI for radiology follow-up. Requires experience scaling SaaS businesses, leading engineering/product teams, and navigating clinical realities.
Leads engineering team building Rad AI's flagship Reporting product, owning technical strategy, architecture for data-intensive radiology reporting software, and scaling high-performing teams in a healthcare AI environment. Requires 10+ years engineering and 5+ years managing managers.
Designs and operates scalable AWS-based cloud infrastructure including Kubernetes, serverless, and data stores. Collaborates on platform vision, builds productivity tools, manages monitoring/on-call, and requires 6+ years in cloud-native environments with IaC expertise.
Designs, builds, and operates scalable cloud infrastructure on AWS with Kubernetes and serverless tech to support AI healthcare products. Requires 4+ years experience in cloud-native platforms, IaC, automation, and reliability practices for regulated environments.
Designs and operates scalable cloud infrastructure on AWS, focusing on Kubernetes orchestration, reliability practices, and observability for AI healthcare products. Requires 8+ years experience with IaC, containerization, and cross-team leadership.
Leads end-to-end applied ML research in NLP, LLMs, retrieval, and multimodal models for healthcare AI, driving from experimentation to production deployment with rigorous evaluation and clinician collaboration. Requires 7+ years experience, MS/PhD, and depth in ML areas like PyTorch tooling.