SF · NYC
The Role
We are looking for a physician to own the clinical product experience across RoVR. You would shape how clinicians use AI to understand a patient’s history, prepare for encounters, document care, make informed decisions, and manage patients over time.
You would translate clinical reasoning and real practice needs into product behavior: what information matters, what constitutes a clinically useful response, where uncertainty must be surfaced, and which actions require clinician review. This requires medical judgment and the ability to turn an observed problem into a product that works in daily practice.
Working closely with product, design, engineering, research, and clinical operations, you would own clinical product areas from discovery through evaluation, deployment, and iteration. Success means helping clinicians deliver better care with less administrative and cognitive burden.
Responsibilities
Own the clinical product strategy and roadmap across chart review, encounter preparation, documentation, decision support, ordering, results review, and longitudinal care management.
Work directly with physicians and other clinicians to understand their reasoning, information needs, and workflow constraints. Translate those observations into product priorities.
Define how patient history, medications, results, and care plans are synthesized and presented, including how the product handles missing, conflicting, outdated, or uncertain information.
Turn clinical needs into clear requirements, workflow models, prototypes, and acceptance criteria. Work with design and engineering to preserve clinical meaning while simplifying the experience.
Define the clinical scope of agent behavior, including appropriate autonomy, clinician review, escalation, and recovery when information or actions are incorrect.
Develop and maintain clinical evaluation scenarios and rubrics with research and engineering. Assess factual accuracy, omissions, clinical relevance, and potentially harmful recommendations or actions.
Translate clinical evidence, guidelines, and practice protocols into product requirements. Make supporting evidence and limitations understandable to the clinicians using the system.
Lead clinical product pilots with deployment and clinical operations teams. Investigate failures, understand adoption barriers, and turn clinician corrections into product improvements and evaluation priorities.
Measure clinical utility through accuracy, documentation quality, clinician effort, appropriate follow-up, and patient outcomes where they can be meaningfully assessed.
Minimum qualifications
MD, DO, or equivalent medical degree, with completed residency training in a relevant clinical specialty.
Substantial hands-on experience in ambulatory care and a clear understanding of how clinical decisions and follow-up unfold across visits.
Experience building or improving clinical products or technology-enabled care delivery, through product development, clinical informatics, or substantial workflow redesign.
Strong clinical judgment and the ability to critically assess medical evidence, identify uncertainty, and explain the reasoning behind a product requirement.
Strong product judgment: the ability to prioritize clinical needs, make tradeoffs, and carry an initiative from problem definition through implementation and evaluation.
Ability to communicate precisely with engineers, designers, researchers, and clinicians through clear writing, examples, and structured feedback.
Practical understanding of AI capabilities and limitations, including how incomplete context, inaccurate outputs, and inconsistent behavior affect clinical usefulness.
Demonstrated independence and ownership, with a willingness to work closely with users and remain accountable after launch.
Preferred qualifications
Board certification in internal medicine, family medicine, or an ambulatory specialty such as endocrinology or cardiology.
Experience developing or deploying clinical AI, decision support, documentation tools, or longitudinal care management products.
Training or substantial experience in clinical informatics, digital health, or human factors.
Familiarity with EHR workflows, clinical data structures, and interoperability constraints.
Experience designing clinical evaluations, reviewing model outputs, or conducting studies of clinical product performance.
Hands-on experience with prototyping tools, product analytics, or clinical data analysis.
Logistics
Location: San Francisco or New York, on-site.
Employment type: full-time.
Compensation: competitive salary and meaningful equity.
Visa sponsorship is available.
RoVR is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
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