Millions of seniors live in assisted living communities. Between visits, they wait alone. We're building something that listens, empathizes, and keeps families connected. We need people who want to help make that credible in real ALFs.
Large language models can now hold natural conversations. Voice synthesis is finally usable in short conversational turns. Limited vision context can help route observations for staff review. The pieces are here; the hard part is building them responsibly.
Meanwhile, assisted living communities are being asked to feel personal and connected with the staffing model of a different era. Resident isolation and family disconnection are the norm, not the exception.
We're still early, with the product and deployment posture being shaped ahead of our first pilot deployments with assisted living community partners. If you want to shape it, this is the window.
We’d rather have something real in a resident’s room than a perfect prototype in a lab. Speed with integrity.
This isn’t a consumer toy. We test cautiously, keep staff in the loop, and avoid shipping claims or workflows we cannot support yet.
The best ideas come from people who’ve actually worked the floor, built hardware at 3am, or spent years watching a parent age in care. Bring your context.
This is not a future org chart. These are the small number of functions we are actively prioritizing as we tighten the companion and staff-reviewed workflow product for assisted living communities.
Applications start asynchronously. If you want an immediate AI screening call, that is an explicit opt-in after you choose it.
The intelligence behind every interaction determines whether the product is useful, safe, and trusted with residents.
What you'll shape
The product lives or dies in the details: what Companion says, what staff see, and how a pilot fits into real nursing workflows.
What you'll shape
We need an engineer who can move across product, infra, and device-to-cloud systems without waiting for a large org to exist.
What you'll shape
The product needs close clinical input while we shape pilot workflows, review boundaries, and decide what the AI should never do on its own.
What you'll shape
We want to hear from you anyway. Tell us what you'd build, what you'd fix, or what you think we're getting wrong. The best conversations start with honest criticism.
No resume required. Just tell us what interests you about eldercare and AI.
The interview goes both ways. Come critique the product. We'll learn from you either way.