About the role
About Bayesian Health Bayesian Health is a clinical AI platform that empowers nurses and doctors to make earlier and better clinical decisions at the point of care. We’re a diverse team of clinicians, engineers, research scientists, and product thinkers committed to using the latest AI advancements to improve care delivery and save lives. Our research has been published in leading medical journals, like Nature Medicine . We're fortunate to be backed by some of the most discerning investors in tech and biotech: Obvious Ventures, Andreessen Horowitz, the American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. We've also received some recognition along the way, including Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, and BioTech AI Company of the Year. The platform Bayesian’s platform includes a series of modules embedded within the electronic health record (EHR). Each module is specific to a clinical use case (e.g. sepsis) and empowers nurses and providers through timely clinical information. Modules are developed with input from the world’s most respected health systems, like Cleveland Clinic and Mayo Clinic.
About
the role
The role of a Product Manager at Bayesian is to maximize value for our health system customers over a 1-year time horizon, ensuring our platform is an indispensable part of their standard of care every year. This is a broad and ambitious mandate, which requires PMs at Bayesian to have much more scope than traditional PMs. As such, product management is just one of several types of work you’ll complete to launch new modules and drive maturing ones: Opportunity Assessment : review existing clinical literature and work with health system executives to understand their goals and validate a new module’s business case. 0->1 PM: define the product vision, north star metrics, ROI drivers, and user stories with input from internal and external clinicians. Rapid Prototyping: Use Cursor, Claude Code, or Codex to build an interactive proof-of-concept. Iterate with end users to build trust and identify points of friction. Product deployment : Partner with engineering, research, and the customer’s integration team to get the module deployed. Collaborate with research to define data