About Rad AI
We have raised $50+ million to date from venture funds such as Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!
Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.
Why Join Us:
As the Lead Platform Product Manager, you will wield your extensive experience in cloud infrastructure to shape the future of our platform for AI solutions across healthcare. Your leadership will guide the development and implementation of our platform strategy, including cloud, core services, infrastructure, QA, and beyond, while collaborating closely with product engineering, product, design, and clinical experts. If you're passionate about creating scalable systems and enjoy collaborating with cross-functional teams, this role is perfect for you.
What You’ll Be Doing:
Define and prioritize platform features and enhancements, leveraging cloud infrastructure capabilities to optimize scalability, reliability, and performance.
Partner with the Head of Product to mentor other Product Managers and implement best practices.
Lead cross-functional teams in the ideation, planning, and execution of projects aimed at enhancing platform functionality, such as:
Collaborating with Engineers and Product Managers to develop shared services across multiple product lines.
Optimizing infrastructure in cloud environments (e.g., AWS, Google) to improve agility and resource utilization.
Continuously monitor platform performance metrics and user feedback to drive iterative improvements and optimizations.
Stay up to date on cloud infrastructure trends and best practices to identify opportunities for innovation.
Serve as a domain expert, providing guidance on cloud infrastructure considerations and benefits.
Who We’re Looking For:
6+ years of experience in product management, with at least 2 years directly managing cloud infrastructure solutions at scale.
Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
Thorough understanding of the full life cycle of platform service development.
Understanding of microservices-based architecture, RESTful API design, databases (NoSQL/SQL), and scaling such systems effectively.
Excellent communication skills, with the ability to articulate complex technical concepts clearly and effectively.
Strong analytical mindset and a data-driven approach to decision-making.
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Passion for healthcare innovation and a commitment to improving patient care through technology.
Nice to Haves:
Background in regulated environments, particularly those requiring HIPAA compliance.
Familiarity with healthcare standards such as HL7 and radiology workflows.
Familiarity with ML or data infrastructure
Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.
If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!
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
Location-flexibility (remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
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.
