The team this problem needs.
Bedside care doesn't yield to clever engineering alone. It needs people who've sat with the problem long before they knew it was one.
We're hiring across most of the company right now — AI, product, clinical, hardware, mobile, GTM. The job posts list the usual skills. What they don't capture is the shape of person each role actually demands. So here's the honest version.
Who we keep hiring
Engineers who've shipped ML, and who've watched a parent age in care. The second part isn't sentimental — it changes which features you push back on. Someone who has cleaned up after a fall at 2am builds a different fall detector than someone who has only read the paper.
Nurses who can give clinical advice, and who can sit in an engineering review and push back on a wake-word threshold. We have RNs who learned enough about our pipeline to argue about latency. They are not advisors with a title. They redline specs.
Product people who can write a sharp spec, and who can sit at a bedside for an hour without filling the silence. The hour is the test. If you reach for your phone in minute fifteen, you will design the wrong product. The people who stay quiet come back with the right one.
The cross-cutting traits
Unusual backgrounds — ICU plus compilers, industrial design plus geriatrics, hospice plus iOS. Clinical intuition, even in the non-clinical roles. Comfort moving between a soldering iron and a model eval in the same afternoon. A willingness to ship something to a real room before it is pretty, then sit there and watch it fail.
The product tell is simple. When a nurse picks up Companion for the first time, the most common reaction is a small pause, then: whoever made this has been in a room like mine. That sentence is the entire hiring bar, working backwards.