ironquill.tech/board

$ cat jobs/product-manager-us-boulder-co-or-remote-teton-515bf26d87ef.json

Product Manager (US – Boulder, CO or Remote)

teton·US·United States·mid
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About Teton Teton is building the foundational data layer for the point of care, using real-time, multimodal AI to generate a digital twin of the patient and care environment. Our proprietary computer-vision system enables staff to automate documentation, proactively manage resident care, and streamline workflows. Our platform delivers unprecedented access to real-time data insights, empowering healthcare providers with actionable intelligence to enhance decision-making and elevate care delivery. The Role We're hiring a Product Manager who will own product initiatives end-to-end — from discovery through launch — for a product used every day by caregivers, nurses, and operators in senior living communities across the country. You will report to the Director of Product Management, within the Product and Engineering organization. This role is built around proximity to the US senior living market . You'll spend meaningful time on-site with customers — observing workflows, sitting with staff, and pressure-testing our product against the realities of care delivery. Key Responsibilities Lead product initiatives from idea to launch — discovery, scoping, prioritization, and shipping with design and engineering Define success metrics for your area and own the outcomes Bring clarity and structure to ambiguous problem spaces; make tradeoffs grounded in customer reality, not internal opinion Spend meaningful time on-site with US customers — senior living operators, care staff, and clinical leadership — and translate field observations into concrete product decisions Partner with Sales, Customer Success, and Marketing to land features in market — shape positioning, enablement materials, and launch narratives so what we ship actually gets adopted Run beta and adoption programs — recruit pilot customers, structure feedback loops, and drive feature uptake in the field Build deep technical fluency in our computer-vision and AI stack — enough to scope feasibly, push back on engineerin