Glass Health was physician co‑founded because we believe that technology should be fully leveraged to optimize the practice of medicine and improve patient care. We’re building the better tools we as physicians want, so we can spend more quality time with our patients.
To this end, we have set out to empower clinicians with the best‑in‑class AI for clinical decision support (CDS) . We aim to increase diagnostic accuracy, improve the implementation of evidence‑based medicine, accelerate the achievement of health equity, eliminate clinician burnout, and improve patient outcomes worldwide.
We’re looking for experienced, problem‑solving engineers across the stack (Product, Full‑Stack, Backend, Applied AI/LLM) to build new products and grow existing products. Our success depends on our ability to quickly iterate on products, while also ensuring that they are performant and reliable. You’ll work in a deeply iterative, collaborative, fast‑paced environment to bring our technology to tens of thousands of users, and ensure it’s delivered with finesse and reliability in mind.
While we have a head‑start, this is a Founding engineering role – you will have expanded ownership, a defining impact on the success of the company, and play a crucial part in shaping the future of healthcare.
You dream of improving healthcare with us for both patients and physicians. You want to join a company that’s always been focused on improving patient care. Since 2022, Glass has already helped physicians‑in‑training and physicians with better tools including our DDx, Clinical Plan and Glass Notebooks. We have just launched our game‑changing AI CDS to provide doctors with real‑time suggestions and insights. You’re passionate to serve our growing, immensely loving and respectful community, including 150+ physicians & physicians‑in‑training. Be on the bleeding‑edge of AI. We strive to be the best‑in‑class AI CDS, and we’ll be harnessing and developing novel approaches along the way.
Glass Health is an equal opportunity employer. We celebrate our diversity and are committed to creating an equitable and inclusive team environment that reflects the patient communities we serve. We especially encourage applicants from historically under‑represented and underserved communities to apply.
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
#J-18808-LjbffrVeröffentlichungsdatum:
18 Aug 2026Standort:
RemoteTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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